Effective Channel Planning of IEEE 802.11 Networks as a Plane Tessellation Problem. Part 3. Solutions of Best Channel Configuration Selection Problem for Eight-Channel Case
https://doi.org/10.31854/1813-324X-2023-9-1-41-51
Abstract
When solving the problem of channel planning of IEEE 802.11 wireless access networks, it is necessary to allocate channels for access points so that the selected channel configuration provides minimum negative mutual influence. We will consider the covering of the plane “tessellation”, i.e. the densest filling, by coverage areas of access points groups, which in the spectral sense correspond to channel clusters. By assigning a channel to each of the access points, we obtain a set of possible configurations, each of which corresponds to a possible solution of the channel planning problem. When solving actual design problems in the 5 GHz band, it is often necessary to take into account channel plans that include 8 or more channels. Based on the previously proposed model and method, in this paper, solutions to the problem of finding the best channel configuration for clusters consisting of 8 access points are obtained, and their characteristics are shown in relation to their geometry.
About the Author
A. Vikulov
The Bonch-Bruevich Saint-Petersburg State University of Telecommunications
Russian Federation
Russian Federation
St. Petersburg, Russian Federation
References
1. Institute of Electrical and Electronics Engineers. 802.11-2020. IEEE Standard for Information Technology. Telecommunications and Information Exchange between Systems. Local and Metropolitan Area Networks. Specific Requirements. Part 11. Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications. IEEE; 2021. DOI:10.1109/IEEESTD.2021.9363693
2. Institute of Electrical and Electronics Engineers. 802.11ax-2021. IEEE Standard for Information Technology. Telecommunications and Information Exchange between Systems Local and Metropolitan Area Networks. Specific Requirements. Part 11. Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications Amendment 1: Enhancements for High-Efficiency WLAN. IEEE; 2021. DOI:10.1109/IEEESTD.2021.9442429
3. Cisco Systems. Wireless LAN Design Guide for High Density Environments in Higher Education. 2017. URL: https://www.cisco com/c/dam/en_us/solutions/industries/docs/education/cisco_wlan_design_guide.pdf [Accessed 10th November 2022]
4. Aerohive Networks. High Density Wi-Fi Design Principles. 2012. URL: https://dokumen.tips/documents/aerohive-whitepaper-hi-density-principles.html [Accessed 10th November 2022]
5. Ruckus Wireless. High Density Wi-Fi Deployment Guide. Best Practices Design Guide. 2018. URL: https://support.ruckuswireless.com/documents/1345-best-practices-design-guide-high-density-wi-fi-ap-deployment [Accessed 10th November 2022]
6. Aruba Networks. Aruba High Density Wireless networks for Auditoriums. VRD. 2012. URL:https://www.arubanetworks.com/vrd/HighDensityVRD/wwhelp/wwhimpl/js/html/wwhelp.htm#href=Chap1.html [Accessed 10th November 2022]
7. Netgear. Best Practices for High Density Wireless Network Design in Education and SMB. White Paper. 2013. URL: https://www.netgear.com/images/pdf/High_Density_Best_Practices.pdf [Accessed 10th November 2022]
8. Bedell P. Wireless Crash Course. McGraw-Hill Professional, 2001.
9. Ryzhkov A.E., Sivers M.A., Babkin A.S., Pylenok A.M., Trofimov A.P. LTE Networks. Development of Radio Access Technologies. St. Petersburg: The Bonch-Bruevich Saint Petersburg State University of Telecommunications Publ.; 2015. 254 p. (in Russ.)
10. Vishnevsky V.M., Lyakhov A.I., Portnoy S.L., Shakhnovich I.V. Broadband Wireless Networks for Information Transmission. Moscow: Tekhnosfera Publ.; 2005. 592 p. (in Russ.)
11. Vikulov A.S., Paramonov A.I. Problem Statement of Tiling the Plane for Frequency and Area Planning of IEEE 802.11 Networks. Radio and Telecommunication Systems. 2021;1(41):24‒32. (in Russ.)
12. Vikulov A.S., Paramonov A.I. Arrangement of Standard Structures for Tiling the Plane for Frequency and Area Planning of IEEE 802.11 networks. Radio and Telecommunication Systems. 2021;2(41):17‒28. (in Russ.)
13. Babkov V.Yu., Starikov V.V. Selection of Cluster Structure of Initial Aproximation LTE Network. Information Systems and Technologies. 2017;5(103):72‒80. (in Russ.)
14. Vikulov A. Effective Channel Planning of IEEE 802.11 Networks as a Plane Tessellation Problem. Part 1. Adjacent Channel Interference Model. Proc. of Telecom. Universities. 2022;8(2):29‒36. DOI:10.31854/1813-324X-2022-8-2-29-36
15. Vikulov A. Effective Channel Planning for IEEE 802.11 Networks as a Plane Tessellation Problem. Part 2. Method of Best Channel Configuration Selection and Solutions for a Low Number of Channels. Proc. of Telecom. Universities. 2022;8(3):27‒36. (in Russ.) DOI:10.31854/1813-324X-2022-8-3-27-36
16. Fedorov L. Generator of Permutations by Transposition of Neighboring Elements in Mathcad. Bulletin of the Moscow State Regional University. Series: Physics-Mathematics. 2014;4:129‒136. (in Russ.)
17. Rec. ITU-R P.1238-8 Propagation data and prediction methods for the planning of indoor radiocommunication systems and radio local area networks in the frequency range 300 MHz to 100 GHz. 2016.
18. Rec. ITU-R P.525-2 Calculation of free-space attenuation. 1994.
Review
For citations:
Vikulov A. Effective Channel Planning of IEEE 802.11 Networks as a Plane Tessellation Problem. Part 3. Solutions of Best Channel Configuration Selection Problem for Eight-Channel Case. Proceedings of Telecommunication Universities. 2023;9(1):41-51. (In Russ.) https://doi.org/10.31854/1813-324X-2023-9-1-41-51
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