Intelligent Radio Resource Adjustment Technology White Paper

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Contents

Overview·· 1

Technical background· 1

Technical classification· 1

Benefits· 2

Key elements· 3

Local RRM implementation· 1

AC-based RRM·· 1

Mechanism·· 1

Auto channel adjustment 2

Auto transmit power adjustment 5

Auto bandwidth adjustment 8

High-density AP deployment optimization· 10

Typical applications· 10

Distributed RRM·· 11

Mechanism·· 11

Auto channel adjustment 12

Auto transmit power adjustment 13

Auto bandwidth adjustment 14

Typical applications· 15

Fast DFS· 16

Concepts· 16

About fast DFS· 17

Mechanism·· 17

Cloud-based RRM implementation· 1

One-key optimization· 1

Introduction· 1

Mechanism·· 1

Implementation· 1

Typical applications· 4

Cloud-based RRM for AC+fit AP networks· 4

Cloud-based RRM for cloud-managed AP networks· 4

 

Overview

Technical background

With the popularization of wireless networks and the rapid growth of wireless users, wireless network O&M is getting increasingly difficult. At the same time, increasing user demands for network applications also makes it urgent for WLANs to provide high-quality network experience in real time. Traditional O&M relies on manual adjustment of radio parameters (channel, power, and bandwidth), which mainly have the following problems:

·     Users might feel difficult to configure radio parameters for lack of wireless network knowledge.

·     Manual adjustment is complicated and time-consuming in a large-sized network.

·     Manual adjustment cannot respond in time to network changes. Wireless network performance cannot keep the best state when network changes occur.

·     Manual adjustment takes a long time and has a high cost, which makes it hard to form a high-efficiency closed-loop.

·     Issues cannot be detected immediately, which affects user experience.

To resolve the issue, intelligent Radio Resource Management (RRM) is introduced to adjust channel, power, and bandwidth parameters of radios automatically in case of network changes.

Intelligent RRM features are available in the following forms:

·     AC-based RRM—Performs calibration based on local data.

·     Cloud-based RRM—Requires device connection to the public cloud or private cloud.

When both AC-based RRM and cloud-based RRM are configured, cloud-based RRM is responsible for unified resource scheduling and adjustment.

Technical classification

The RRM technology is divided into two main categories based on the source of data and the platform for analysis and computation: local RRM and cloud-based RRM.

Local RRM uses locally stored data from wireless equipment for analysis and computation, including AC-based RRM and distributed RRM.

·     AC-based RRM—Suitable for AC + fit AP networks. The AC analyzes data reported by APs and centrally allocates radio resources, and APs are responsible for data collection and executing optimization adjustments.

·     Distributed RRM—Designed for fat AP networks. Based on inter-AP collaboration mechanisms, APs independently handle data collection, analysis, decision-making, and execution.

·     Cloud-based RRM—Leverages the extensive data from cloud-managed networks and employs big data analytics for multi-dimensional computations. The cloud network analyzes data reported by APs and centrally allocates radio resources, while APs perform data collection and optimization execution. Cloud-based RRM supports one-key network optimization, requiring network devices to connect to either public or private clouds.

When both local RRM and cloud-managed RRM are enabled, cloud-managed RRM takes charge of unified scheduling and adjustments to deliver higher-quality wireless services.

The key difference between these RRM technologies lies in the primary device responsible for the scanning-analysis-decision-execution process, as detailed in Table 1.

Table 1 Primary devices responsible for each step in an RRM process

RRM technology	Scanning	Analysis	Decision making	Execution
AC-based RRM	AP (fit mode)	AC	AC	AP (fit mode)
Distributed RRM	AP (cloud mode)	AP (cloud mode)	AP (cloud mode)	AP (cloud mode)
Cloud-based RRM	AP (cloud mode)	Cloudnet	Cloudnet	AP (cloud mode)

 

NOTE: The RRM technology can also be classified into two main categories based on the degree of centralization: centralized RRM (including AC-based RRM and cloud-based RRM) and distributed RRM.

 

Benefits

RRM monitors wireless environment, collects and analyzes wireless environment data, and uses intelligent calibration algorithms to generate radio optimization policies. H3C intelligent RRM provides the following benefits:

·     Sense network changes in time and make corresponding adjustments to reduce the impact of network changes on user experience.

·     Adjust radio parameters automatically to provide continuous optimization for wireless services.

·     Reduce the required O&M manpower, time, and costs.

Intelligent RRM is applicable to the following scenarios:

·     Small- to medium-sized networks lacking professional O&M personnel.

·     Large-sized networks with a large number of APs, such as offices, universities and colleges, and large-scale shopping malls.

 

·	NOTE: Intelligent RRM adjusts radio channel, transmit power, and bandwidth parameters automatically. For scenarios that require fixed channel, transmit power, or bandwidth, such as healthcare roaming and AGV networks, do not configure intelligent RRM as a best practice.

 

Key elements

·     Channel adjustment

In a WLAN, a radio can only work on a limited number of channels, where there may be a lot of interference from both wireless devices and non-wireless devices, such as radar transmitters and microwave ovens. With channel adjustment, the system automatically assigns an optimal channel for each radio in real time to avoid co-channel interference and interference from other radio sources.

·     Power adjustment

Traditional power control sets the transmit power of a radio to the maximum value to maximize the signal coverage, which causes unnecessary interference to other wireless devices and sticky clients. This reduces the overall capacity and user experience of the system, and cannot meet the high throughput requirement.

Power adjustment of intelligent RRM can ensure the signal coverage and reduce unnecessary interference at the same time by allocating a reasonable transmit power for each radio.

·     Bandwidth adjustment

Configuring all radios to use the maximum bandwidth increases the negotiated rate between AP and client, but causes severs co-channel interference due to limited wireless channels.

Bandwidth adjustment of intelligent RRM can balance negotiated rate and interference and thereby improve the capacity of the entire network.

Local RRM implementation

AC-based RRM

Mechanism

AC-based RRM uses the computing capacity to analyze the local data. It operates as follows:

1.     Scanning

APs scan channels regularly after coming online and report collected information to the AC at specific intervals. To avoid affecting wireless services, APs scan channels only when no service traffic is being transmitted.

2.     Analyzing

The AC analyzes the received information, including channel quality, channel interference conditions, and adjacent AP distribution, and builds a model of the surrounding network with real-time awareness of network changes for decision making.

3.     Decision making

Based on the analysis result, the AC uses intelligent algorithms to adjust and optimize radio resources, and automatically evaluates the impact of the adjustment on the network to ensure that the system is reliably adjusted to accommodate changes in the WLAN.

4.     Execution

The AC sends the adjustment policy to the target AP, and the AP adjusts the channel, bandwidth, and transmit power as instructed in the policy. Users can view the history of AP radio adjustment on the AC.

The AC continuously monitors the network environment and records any wireless environment changes for the next round of adjustment.

Figure 1 AC-based RRM working mechanism

 

Auto channel adjustment

Introduction

Radio frequency interference can affect user experience of wireless networks. Common radio frequency interference includes co-channel interference and adjacent channel interference.

·     Co-channel interference—Radios of APs operating on the same channel interfere with each other. As shown in Figure 2, the 2.4 GHz band has four groups of non-overlapping channels of (1, 6, 11), (2, 7, 12), (3, 8, 13), (4, 9, 14), which are very limited. Therefore, in real cases, one channel is often used by multiple APs, which causes co-channel interference.

·     Adjacent channel interference—Radios of APs radios operating on different channels interfere with each other. For APs with different center frequencies, overlapping radio bandwidth of the APs will cause adjacent channel interference. This issue often occurs in the scenario when high density of APs are deployed and the 2.4 GHz APs use different non-overlapping channel groups with the transmit power too strong or the AP space too close. For example, if H3C APs use the (1, 6, 11) non-overlapping channel group and APs of another vendor use the (3, 8, 13) non-overlapping channel group, serious adjacent channel interference might occur.

Figure 2 2.4 GHz channel spectrum

 

For co-channel interference, Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) can be used to resolve the issue. For adjacent channel interference, the impact on user experience is severer and CSMA/CA cannot resolve the issue completely.

When you use channel adjustment to reduce radio frequency interference caused by high-density AP deployment, the following elements must be considered:

·     Select suitable channels.

Auto channel adjustment can make sure each AP uses the optimal channel. For more information, see "Channel adjustment."

·     Select suitable channel groups.

Auto channel adjustment can monitor the channel groups used by APs of other vendors and use optimization algorithm to reduce the adjacent channel interference in the multi-vendor AP deployment scenario. For more information, see "Non-overlapping channel group optimization for 2.4 GHz radios."

Channel adjustment

Factors that can trigger auto channel adjustment include the following:

·     Error code rate—Physical layer error code rate and CRC error rate. CRC error rate shows the proportion of packets with CRC errors among all 802.11 packets.

·     Interference—802.11 interference and non-802.11 interference.

·     Channel usage—Proportion of channel resources used for packet transmitting and receiving.

·     Retransmission—Packets retransmitted because an AP fails to receive an ACK.

·     Radar—Radar signals detected in the current working channel.

If one or multiple such issues exist, the AC selects an optimal channel as the backup channel. If the working channel quality drops below the threshold, the AP uses the backup channel as the working channel. For example, as shown in Figure 3, before channel adjustment, AP 2 and its neighbor AP 5 operate on the same channel and AP 3 and its neighbor AP 4 operate on the same channel. After adjustment, adjacent APs operate on different channels, which minimizes co-channel interference.

Figure 3 Automatic channel adjustment

 

Non-overlapping channel group optimization for 2.4 GHz radios

In high-density deployment with APs of different vendors, severe interference might occur for 2.4 GHz radios because these APs cannot be managed in a unified manner and might use different non-overlapping channel groups. This greatly affects the user experience.

With this feature enabled, H3C APs monitor the operating channels of the neighbor APs for 2.4 GHz radios dynamically and the system adopts the non-overlapping channel group most used by neighbor radios on third-party APs during auto channel adjustment. This operation can reduce the adjacent channel interference between APs of different vendors to the maximum degree.

Neighbor radio includes the following types:

·     Managed neighbor—Detected AP radios managed by the same AC.

·     Unmanaged neighbor—Detected AP radios managed by another AC.

With this feature enabled, the device performs non-overlapping channel group optimization for 2.4 GHz radios during auto channel adjustment when all the following conditions are met:

·     The total number of neighbors reaches or exceeds the configured threshold.

·     The unmanaged neighbor ratio (unmanaged neighbors/total neighbors) reaches or exceeds the configured threshold.

·     The unmanaged neighbor ratio for a single non-overlapping channel group (unmanaged neighbors/total neighbors) reaches or exceeds the configured threshold.

The effect of non-overlapping channel group optimization for 2.4 GHz radios and auto channel adjustment is shown in Figure 4. Each AP has only one radio enabled. Before the optimization, APs of different vendors use different non-overlapping groups. H3C AP 3 operates on channel 1 and third-party AP 4 operates on channel 3, which has severe adjacent channel interference. After the optimization, the H3C APs use the same non-overlapping channel groups as the third-party APs.

Figure 4 Non-overlapping channel group optimization for 2.4 GHz radios

 

Auto transmit power adjustment

Introduction

The AC determines whether transmit power adjustment is required for an AP based on the following factors:

·     Signal strength of neighbor APs detected by the AP—Used to identify whether the current transmit power is reasonable.

·     Signal strength of the AP detected by clients—Used to identify if coverage holes exist. The system must also take the roaming logics of clients into consideration to exclude sticky clients to prevent improper transmit power adjustment from exacerbating the sticky client issue.

When you use automatic transmit power adjustment, the following elements must be considered:

·     When APs are deployed properly, the AC obtains AP transmit power information from the neighbor report and uses optimization algorithm to adjust the transmit power to an appropriate value. For more information, see "Transmit power adjustment through neighbor reports."

·     In high location installation, blocking, and other special scenarios, the AC must adjust the AP transmit power and ensure a good RSSI at the same time. For more information, see "Transmit power adjustment through RSSI packets."

Transmit power adjustment through neighbor reports

The AC creates and maintains a neighbor report for each radio of the managed APs, recording information such as the transmit power detected from other radios, and compares the current radio's transmit power with the transmit power adjustment threshold.

·     If the radio's transmit power is higher than the threshold and the gap reaches a specific value, the system decreases the transmit power.

·     If the radio's transmit power is lower than the threshold and the gap reaches a specific value, the system increases the transmit power.

As shown in Figure 5, each AP has only one radio enabled. Before the adjustment, a coverage hole exists and the transmit power of AP 1 and the transmit power of AP 2 are too high. After the adjustment, the transmit power of AP 3 is increased to remove the coverage hole and the transmit power of AP 1 and the transmit power of AP 2 are decreased to reduce co-channel interference.

Figure 5 Transmit power control

 

Transmit power adjustment through RSSI packets

When APs are not properly deployed, adjusting transmit power through only neighbor reports might not ensure a good RSSI. Typical scenarios are as follows:

·     APs are installed at a high location.

As shown in Figure 6, AP 1 and AP 2 are installed at a high location and strong transmit power can be detected between the APs. In this case, the AC reduces the AP transmit power to reduce radio interference. However, reducing the transmit power decreases the RSSI because the APs are installed far from the clients. This leads to a poor user experience such as weak RSSI and low negotiation rate.

Figure 6 AP high location installation scenario

 

·     Obstacles exist between APs and clients.

As shown in Figure 7 and Figure 8, the APs are installed at a high location and a ceiling exists between the APs and the clients. Strong transmit power can be detected between the APs, so the AC reduces the AP transmit power to reduce radio interference. However, reducing the transmit power decreases the RSSI because the ceiling causes severe signal attenuation.

Figure 7 Obstacle scenario (1)

 

Figure 8 Obstacle scenario (2)

 

In the above scenarios, the AC supports coverage hole detection through the RSSI packets sent from the clients. The AC operates as follows:

1.     Verify whether the RSSI packets are weak signal packets. If the RSSI value is lower than the configured RSSI threshold, the RSSI packets are weak signal packets.

2.     Verify whether the clients are weak signal clients. A client is verified as weak signal client when all the following criteria are met:

¡     The number of weak signal packets for the client reaches or exceeds the configured threshold.

¡     The weak signal packet ratio for the client reaches or exceeds the configured threshold.

3.     Verify whether radio coverage holes exist. Radio coverage holes exist when all the following criteria are met:

¡     The number of associated weak signal clients on the radio reaches or exceeds the configured threshold.

¡     The ratio of associated weak signal clients on the radio reaches or exceeds the configured threshold.

If coverage holes are detected, the AC will increase the AP transmit power automatically to ensure the user experience on the clients.

Auto bandwidth adjustment

Auto bandwidth adjust uses the channel binding technology and takes AP density, AP model, and client quantity to assign a reasonable bandwidth for each radio. It follows the following principles:

·     For low AP density, decrease radio bandwidth to reduce interference.

·     For high AP density, increase radio bandwidth to increase the data transmission speed.

·     Reduce overlapping channels for adjacent APs as much as possible to minimize co-channel interference.

·     Ensure that APs and clients can negotiate appropriate rates, ensuring the access rate of clients and increasing the capacity of the entire network.

The AC performs channel quality evaluation at the end of each auto bandwidth adjustment period and decides whether to adjust the bandwidth based on the evaluation result.

As shown in Figure 9, when the AC detects that too many neighbor APs and clients exist for an AP, it decreases the radio bandwidth to reduce interference. When the AC detects that only a few neighbor APs and clients exist for an AP, it increases the radio bandwidth to increase the transmission speed and network capacity.

Figure 9 Automatic bandwidth adjustment

 

High-density AP deployment optimization

In public places such as stadiums and large conference centers, wireless networks often feature high density and high concurrency. To satisfy the large number of user access requirements, a large number of APs are deployed. However, because the radio resources are limited, when APs are deployed in high density, interference between APs becomes very strong.

High-density AP deployment optimization can calculate and identify redundant APs and help users to disable redundant radios on these APs. This can lower the radio interference between APs in high-density scenarios.

For example, as shown in Figure 10, each AP has only one radio enabled. Before high-density AP deployment optimization, AP 1, AP 6, and AP 7 operate on channel 11 and severe channel overlapping and interference exist. After the optimization, radios on AP 6 and AP 7 that operate on channel 11 are disabled, which reduce radio interference and ensure the wireless network coverage.

Figure 10 High-density AP deployment optimization

 

Typical applications

As shown in Figure 11, AC-based RRM is applicable to AC+fit AP networks. The AC can perform automatic optimization on all managed APs.

Figure 11 AC-based RRM for AC+fit AP networks

 

Distributed RRM

Mechanism

RRM typically requires centralized planning for APs in a given area. However, for independently operating fat APs, there is neither a centralized AC for control nor a cloud for unified planning. Distributed RRM adopts a decentralized approach, distributing the centralized computing algorithms to individual APs for localized processing. By leveraging AP collaboration mechanisms, it enables intelligent decision-making within a limited scope, achieving results comparable to centralized computation. The specific steps are as follows:

1.     Scanning

APs scan channels regularly after coming online to discover neighbors. To avoid affecting wireless services, APs scan channels only when no service traffic is being transmitted.

2.     Analysis

APs analyze the received information, including channel quality, channel interference conditions, and adjacent AP distribution. Through exchanging these information, neighbor APs build a model of the surrounding network with real-time awareness of network changes for decision making.

3.     Decision making

Based on the analysis result, APs use intelligent algorithms to adjust and optimize radio resources, and automatically evaluate the impact of the adjustment on the network through neighbor negotiation. This ensures that the system is reliably adjusted to accommodate changes in the WLAN.

4.     Execution

APs adjusts the channel, bandwidth, and transmit power as instructed in the policy. Users can view the history of AP radio adjustment on the APs.

APs continuously monitor the network environment and record any wireless environment changes for the next round of adjustment.

Figure 12 Distributed RRM working mechanism

 

Auto channel adjustment

Factors that can trigger auto channel adjustment include the following:

·     Error code rate—Physical layer error code rate and CRC error rate. CRC error rate shows the proportion of packets with CRC errors among all 802.11 packets.

·     Interference—802.11 interference and non-802.11 interference.

·     Channel usage—Proportion of channel resources used for packet transmitting and receiving.

·     Retransmission—Packets retransmitted because an AP fails to receive an ACK.

·     Radar—Radar signals detected in the current working channel.

If one or multiple such issues exist, the AP selects an optimal channel as the backup channel. If the working channel quality drops below the threshold, the AP negotiates with adjacent APs. If the negotiation succeeds, the AP uses the backup channel as the working channel.

For example, as shown in Figure 13, each AP is enabled with only one radio. Before channel adjustment, AP 1 and AP 2 operate on channel 1, and AP 4 and AP 5 operate on channel 11. After adjustment, adjacent APs operate on different channels, which minimizes co-channel interference.

Figure 13 Automatic channel adjustment

 

Auto transmit power adjustment

Distributed RRM technology adjusts power automatically through mutual awareness between APs. The workflow for automatic power adjustment is as follows:

1.     APs interact with each other and obtain information such as their own radio's transmit power from neighboring reports of other radios, thereby determining the current transmit power level and selecting a reference power value for comparison.

2.     Each AP compares the reference power value against the power adjustment threshold. If the reference power value exceeds the threshold by a certain margin, the AP decreases the radio's transmit power. If the reference power value is below the threshold by a certain margin, the AP increases the transmit power.

As shown in Figure 14, each AP is enabled with only one radio. Before the adjustment, a coverage hole exists and the transmit power of AP 1 and the transmit power of AP 2 are too high. After the adjustment, the transmit power of AP 3 is increased to remove the coverage hole and the transmit power of AP 1 and the transmit power of AP 2 are decreased to reduce co-channel interference.

Figure 14 Transmit power control

 

Auto bandwidth adjustment

Auto bandwidth adjust uses the channel binding technology and takes AP density, AP model, and client quantity to assign a reasonable bandwidth for each radio. It follows the following principles:

·     For low AP density, decrease radio bandwidth to reduce interference.

·     For high AP density, increase radio bandwidth to increase the data transmission speed.

·     Reduce overlapping channels for adjacent APs as much as possible to minimize co-channel interference.

·     Ensure that APs and clients can negotiate appropriate rates, ensuring the access rate of clients and increasing the capacity of the entire network.

An AP performs channel quality evaluation at the end of each auto bandwidth adjustment period and decides whether to adjust the bandwidth based on the evaluation result.

As shown in Figure 15, when an AP detects that too many neighbor APs and clients exist, it decreases the radio bandwidth to reduce interference. When an AP detects that only a few neighbor APs and clients exist, it increases the radio bandwidth to increase the transmission speed and network capacity.

Figure 15 Automatic bandwidth adjustment

 

Typical applications

Distributed RRM is suitable for fat AP networking, where APs independently make intelligent adjustments to network changes.

Figure 16 Distributed RRM for fat AP networks

 

Fast DFS

Concepts

Radar channels

The spectrum resources and services on the 5GHz band are shared. In some countries and regions, channels 52, 56, 60, 64, 100, 104, 108, 112, 116, 120, 124, 128, 132, 136, 140, and 144 can be used both as radar channels for radar systems and for Wi-Fi communications. Wireless communication devices must avoid military and meteorological radar signals on these channels, which is an internationally mandated compliance requirement.

 

NOTE: ·     The radar channels supported by different countries and regions vary. ·     As a best practice, avoid radar channels as much as possible when planning channels, in accordance with local laws and regulations.

 

DFS

Dynamic Frequency Selection (DFS) is a mechanism designed to dynamically monitor radar signals and prevent interference with them, aiming to avoid conflicts between civilian wireless products and military/meteorological radar frequencies. This technology employs single-radio polling detection, and its operational mechanism is as follows:

1.     When radar signals are detected on the channel where the AP operates, the AP stops transmitting data frames on that channel and disassociates from clients. The AP must switch to another channel within 10 seconds, a duration referred to as the Channel Move Time.

The AP cannot operate on the original radar-detected channel for a certain period. This duration is called the Channel Non-occupancy Period, typically lasting 30 minutes.

2.     If the switched channel is a radar channel, the AP must wait for the silent scan to complete before resuming normal operation. During the silent scan, only the newly switched radar channel is scanned for radar signals. This process may cause a service interruption of 1 minute or 10 minutes, known as the Channel Availability Check Time.

¡     If no radar signal is detected during the silent scan, the AP accepts client associations and resumes data transmission on the new channel.

¡     If radar signals are detected during the silent scan, the AP switches to another channel.

Table 2 Silent scan time on different radar channels

Channel type	Channel ID	Silent scan time
Military radar channel	52, 56, 60, 64, 100, 104, 108, 112, 116, 132, 136, 140, 144	60 seconds
Meteorological radar channel	120, 124, 128	600 seconds

 

About fast DFS

Fast DFS is designed to address service interruptions caused by traditional DFS mechanisms when avoiding radar signals. This technology introduces a dedicated architecture separating monitoring radios and working radios, enabling seamless channel switching on radar bands to minimize service downtime. The roles of the two radios are as follows:

·     Monitoring radio—Conducts preemptive channel scanning and interference detection on radar channels. Once an available radar channel is identified, it performs pre-silent scanning in advance. The monitoring radio does not provide wireless services.

·     Working radio—Dedicated to delivering wireless services.

When radar signals are detected on the working radio’s current channel, the radio immediately switches to a pre-silenced backup channel already prepared by the monitoring radio. This eliminates transmission delays, ensuring near-zero service interruption.

Mechanism

As shown in Figure 17, fast DFS contains the following main phases: radar channel avoidance and radar channel switchback. After you enable fast DFS for a designated radio on the monitoring radio, the workflow proceeds as follows:

1.     The monitoring radio completes silent scanning in advance and prepares a backup channel (for example, channel 104 in the diagram).

2.     When radar signals are detected on the working radio’s current radar channel (for example, channel 100 in the diagram), the radio seamlessly switches to the pre-silenced backup channel, ensuring near-zero service interruption.

3.     The monitoring radio selects another available radar channel (for example, channel 108 in the diagram) and initiates pre-silent scanning again.

4.     After the radar avoidance countdown expires (minimum 30 minutes), the monitoring radio switches back to the original radar-triggered channel (for example, channel 100 in the diagram) for listening.

5.     If no radar signal is detected during the listening period (lasting 1 or 10 minutes, depending on the channel type), the working radio switches back to this now-silenced radar channel (for example, channel 100 in the diagram).

6.     The monitoring radio resumes scanning available radar channels and repeats pre-silent scanning.

Figure 17 Fast DFS operating mechanism

 

Cloud-based RRM implementation

One-key optimization

Introduction

One-key optimization of cloud-based RRM is applicable for startup deployment and manual optimization. It is available in the Smart O&M section on the Cloudnet platform at https://oasiscloud.h3c.com and allows users to optimize the network through a click.

Mechanism

One-key optimization operates as follows:

1.     Examine device operation status and cloud connections.

2.     Trigger devices to scan the network and obtain the AP configuration and scanning data.

3.     Calculate radios to be adjusted based on the collected data.

4.     Use the optimization algorithm to generate the radio adjustment policies.

5.     Deploy the policies to devices for radio adjustment.

6.     Save the adjustment record.

Implementation

Optimization target customization

One-key optimization optimizes the network based on spaces.

·     Global space—Optimize all APs in the site. The space as created automatically as the site was created and cannot be deleted.

·     Customized space—Optimize APs by room or AP group, or optimize the selected APs. You can select a scenario type, and select an AP range.

Figure 18 Customizing optimization options

 

Process visibility

One-key optimization includes four steps: checking, scanning, optimization, and completion. You can view the process from the Web interface.

Figure 19 Process visibility

 

Optimization result displaying

If the optimization succeeds, the system displays information about the process, including AP quantity, start time, time consumption, and configuration comparison. If the optimization fails, the system displays the failure reason.

You can view the optimization history in the past week, including the neighbor AP channel, AP channel distribution, adjusted transmit power statistics, and adjusted APs.

·     Neighbor APs and their channel usage—Displays channel relations between adjacent APs. A gray line indicates mutual neighbor relation, and a red line indicates that the radios use the same channel. You can view channel conflict conditions between adjacent APs in this graph.

Figure 20 Neighbor APs and channel usage

 

·     AP distribution by channel—Displays the number of APs on each channel and the channel usage before and after the optimization.

Figure 21 AP distribution by channel

 

·     Power adjustment statistics—Displays the power adjustment details.

Figure 22 Power adjustment statistics

 

·     Optimized APs—Displays detailed optimization information for each AP.

Figure 23 Optimized APs

 

Typical applications

Cloud-based RRM for AC+fit AP networks

Cloud-based RRM can be used in an AC+fit AP network. As shown in Figure 24, the AC established a cloud connection to the cloud platform and uses CAPWAP tunnels to communicate with APs.

Cloud-based RRM for AC+fit AP networks operates as follows:

1.     APs report radio information to the AC, and the AC reports the information to the cloud platform.

2.     The cloud platform analyzes the information and deploys radio parameters to be adjusted to the AC.

Figure 24 Cloud-based RRM for AC+fit AP networks

 

Cloud-based RRM for cloud-managed AP networks

As shown in Figure 25, Cloud-based RRM can be used in a cloud-managed AP network. This feature is not available on APs that does not support cloud management.

Figure 25 Cloud-based RRM for cloud-managed AP networks