How to improve the performance of wireless LAN

Why do we need better wireless LAN performance testing and collection design?

Early wireless local area networks were usually designed according to experience, that is, using an AP to cover the size of the circle and imply that the radius scale represents the smallest signal strength. Then, use the site scan to draw the actual signal intensity, and measure it in a passive (scanning) or automatic (connection relationship) manner. The tools used to perform the scan are manual and labor-intensive; for example, there is a system that requires the tester to take two measurements in the field to collect passive and automatic measurement functions.

It is quite obvious that these methods can not be carried out very well on the larger wireless LAN. More importantly, they do not reflect the actual functions of 802.11n and more and more various types of applications that rely on high bandwidth and low latency. Through the use of 802.11n, the transmission speed of the different targets can be controlled, and the signal strength is not necessarily a acceptable index for the application function.

Wireless LAN function measurement tool can determine application requirements

This is precisely a new functional measurement tool specifically designed for 802.11n and major mobile business applications that can exemplify the place where it is heavily infested. For example, AirMagnet Survey not only uses iPerf to measure uplink and downlink performance, but it can also be used to analyze the recommended settings for 802.11n and fast voice * estimation.

Veriwave WaveDeploy is an agency-based site estimation tool that can generate test streams and send them to real client devices to measure not only TCP throughput, but also the "quality of experience" of Web, voice, and video. By testing a device using WaveDeploy, the tester can generate a cage map of the area that meets the requirements of the application. This is determined by the measurement indicators of each application (for example, MOS and voice chatter).

Wireless LAN performance optimization: continuous client testing

Optimizing the performance of wireless LAN is a complicated task. After the deployment of the wireless LAN, these new scanning tools must continue to be used in order to verify that the performance policy has always been satisfactory and to estimate the impact of planning adjustments and updates. Over time, you may find that divergent clients will have very different data rates and throughputs, even if they send undifferent types of traffic from almost unchanging locations.

For example, in a possible situation, a client that encounters an abnormally low data speed may refuse to roam to a better AP. Not only do these "tough" clients have low throughput, they also need more bandwidth to take up the same amount of data. When the competition for bandwidth occupation is fierce, each client city is affected by this difficult client. At this time, you need to use a mobile tool such as AirMagnet WiFi Analyzer, which can analyze client roaming activities, identify difficult clients and their actual impact on application functions (such as MOS points).

RF measurement using fair time algorithm

Testing efficacy on a regular basis is often useful for fine-tuning the length of the process, such as disabling discovered low-data-speed clients that can cause problems, or enabling useful 802.11n options on the client. However, some performance problems are regular and sensitive to client combinations and locations. If a visitor brings the problematic device to the office, or just uses the wireless LAN in a remote location, it will present a slow client that will drag other clients. The only useful way to deal with this kind of problem is to continuously measure through real-time response.

Some wireless local area network vendors now offer "fair time for calls" algorithms that can perform real-time RF tests and use them to automatically adjust the client's transmission opportunities. For example, when Aerohive's Dynamic AirTIme Scheduling is enabled, the transmission opportunity is allocated according to the bandwidth currently occupied by each client. When the client's data rate starts to drop, the faster client can get more transmission opportunities, thereby optimizing the overall throughput. Then, Aerohive ’s Performance SenTInel will carefully link these real-time measurements with each user ’s needs and actual throughput guidelines. If the SLA is unable to understand the requirements of the traffic load client, the NOC operator will receive a fatal alert.

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