scholarly journals On Optimizing WiFi RSSI and Channel Assignment using Genetic Algorithm for WiFi Tuning

2021 ◽  
Vol 19 (3) ◽  
Author(s):  
Anya Apavatjrut ◽  
Sathianporn Kamdee
Keyword(s):  
Genetic Algorithm ◽  
Channel Assignment ◽  
Power Level ◽  
Network Services ◽  
Signal Interference ◽  
Transmission Power ◽  
Access Points ◽  
Channel Interference ◽  
Network Administrators

In this work, we proposed a genetic algorithm-based Wi-Fi-tuning platform that could facilitate the network administrators to cope with co-channel interference triggered by other wireless sources. Generally, with a well-designed WLAN, signal interference from adjacent areas is usually minimized. Unfortunately, when other wireless sources are introduced into the WLAN system, co-channel interference is inevitable. Interference usually causes degradation and/or disruption of network services. Resolving this issue becomes even more complicated when the interfering signals come from access points owned by other ISPs and are not accessible by the network administrators. This paper proposed a Wi-Fi tuning platform that allowed automatic reconfiguration of WLAN settings by finding the best settings for channel assignment and transmission power level. When signal interference is detected, the platform attempts to find heuristic solutions for wireless settings based on a genetic algorithm. From our experiments, we could see that our proposed algorithm could regenerate WLAN settings that provided stronger signal levels, higher coverage ranges while reducing interference levels in the deployment area. With the proposed platform, troubleshooting became less complicated, requiring less cost and time. With the help of the Wi-Fi tuning platform, the network administrators could promptly react to the incidence leading to the enhancement of availability, reliability, and consistency of the WLAN system.

scholarly journals Properties of Channel Interference for Wi-Fi Location Fingerprinting

2010 ◽  
Vol 6 (2) ◽  
pp. 56 ◽  
Author(s):  
Eddie C. L. Chan ◽  
George Baciu ◽  
S.C. Mak
Keyword(s):  
Channel Assignment ◽  
Ad Hoc ◽  
Research Work ◽  
Skewed Distribution ◽  
Positioning Accuracy ◽  
Access Points ◽  
Location Fingerprinting ◽  
Channel Interference ◽  
Assignment Scheme ◽  
Localization Systems

Localization systems for indoor areas have recently been suggested that make use of existing wireless local areanetwork (WLAN) infrastructure and location fingerprinting approach. However, most existing research work ignores channel interference between wireless infrastructures and this could affect accurate and precise positioning. A better understanding of the properties of channel interference could assist in improving the positioning accuracy while saving significant amounts of resources in the location-aware infrastructure. This paper investigates to what extent the positioning accuracy is affected by channel interference between access points. Two sets of experiments compare how the positioning accuracy is affected in three different channel assignment schemes: ad-hoc, sequential, and orthogonal data is analyzed to understand what features ofchannel interference affect positioning accuracy. The results show that choosing an appropriate channel assignment scheme could make localization 10% more accurate and reduces the number of access points that are required by 15%. The experimental analysis also indicates that the channel interference usually obeys a right-skewed distribution and positioning accuracy is heavily dependent on channel interference between access points (APs).

Design a Cellular System with Different Cluster Size and Investigate the Co Channel Interference Assuming a Limited Geographical Area with Fixed Channel Assignment Strategy

2017 ◽  
Vol 3 (04) ◽  
Author(s):  
Md.Taz Uddin, Ahmed al Marzean, Md Rafiqul Islam, Shahjahan Ahmed
Keyword(s):  
Channel Assignment ◽  
Cluster Size ◽  
Geographical Area ◽  
Cellular System ◽  
Communication Industry ◽  
Mobile Operator ◽  
Channel Interference ◽  
Assignment Strategy ◽  
Fixed Channel Assignment ◽  
Mobile Communication Industry

There are different communication standards in present mobile communication industry. Each of this standards has its own feature, architecture, and channel assignment strategies. Each mobile operator uses one of any standard and their aim is to support as much user as possible to communicate with tolerable interference. For that reason they use different cluster size and frequency planning to cover entire geographical area. To reuse the given bandwidth within the entire geographical area some cells uses same sets of frequency and interference arise when the distance between these cells is small. Also when distance is large then capacity is going low. In this thesis our work is to investigation the co channel interference among different cluster size assuming a limited sub urban geographical area in a cellular GSM network. Also we calculate the number of users using each of this cluster size and finally design a cellular system in this geographical area using best results (minimum interference and maximum capacity).

scholarly journals WiFi Transmit Power and its Effect on Co-Channel Interference

2021 ◽  
Vol 13 (1) ◽  
pp. 1-17
Author(s):  
Zyanya Cordoba ◽  
Riddhi Rana ◽  
Giovanna Rendon ◽  
Justin Thunell ◽  
Abdelrahman Elleithy
Keyword(s):  
Video Streaming ◽  
Multiple Access ◽  
Power Level ◽  
Control Algorithms ◽  
Transmit Power ◽  
Cooperative Approach ◽  
Channel Interference ◽  
High Bandwidth ◽  
Wireless Environments ◽  
Multiple Clients

The mass adoption of WiFi (IEEE 802.11) technology has increased numbers of devices simultaneously attempting to use high-bandwidth applications such as video streaming in a finite portion of the frequency spectrum. These increasing numbers can be seen in the deployment of highly-dense wireless environments in which performance can be affected due to the intensification of challenges such as co-channel interference (CCI). There are mechanisms in place to try to avoid sources of interference from non-WiFi devices. Still, CCI caused by legitimate WiFi traffic can be equally or even more disruptive, and also though some tools and protocols try to address CCI, these are no longer sufficient for this type of environment. Therefore, this paper investigates the effect of transmit power and direction have on CCI in a high-density environment consisting of multiple access points (APs) and multiple clients. We suggest improvements on publicly- existing documented power control algorithms and techniques by proposing a cooperative approach consisting of the incorporation of feedback from the receiver to the transmitter to allow it to reduce power level where possible, which will minimize the range of CCI for near clients without compromising coverage for the most distant ones.

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