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Capacity aware Wi-Fi networks deployment

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Abstract

Wireless technologies are used in almost every application domain. Applications have different requirements in terms of quality of service and network performance. When designing a wireless network, it is important to know the expected performance of the system. Including the application needs in the design of the network would help achieve the required performance. This paper focuses on the high throughput required for a Smart Farming use case. Multiple-Input Multiple-Output (MIMO) technology had greatly boosted the performance of wireless networks by introducing beamforming, which provides many benefits allowing wider coverage and better data rates. We propose a capacity-aware coverage study for Wi-Fi networks deployment in rural areas. We make our coverage estimations based on link budget calculations. We compare different deployment strategies and discuss the added value of beamforming. Our results are based on an analytical link budget estimation and a simulation study using the NS-3 simulator. We added all the needed functionalities on top of the existing Wi-Fi Module in NS-3. Results in terms of capacity, coverage, and number of access points deployed are discussed. We also developed an empirical analytical model that is based on the simulation results, which helps in estimating performance results for any deployment field size.

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References

  1. García L, Jimenez J, Taha M, Lloret J (2018) Wireless technologies for iot in smart cities. Netw Protoc Algorithms 10:23

    Article  Google Scholar 

  2. Wollschlaeger M, Sauter T, Jasperneite J (2017) The future of industrial communication: automation networks in the era of the internet of things and industry 4.0. IEEE Ind Electro Mag 11(1):17–27

  3. Jawad HM, Nordin R, Gharghan SK, Jawad AM, Ismail M (2017) Energy-efficient wireless sensor networks for precision agriculture: a review. Sensors 17(8):1781

    Article  Google Scholar 

  4. Kastrinogiannis T, Tsiropoulou E-E, Papavassiliou S (2008) Utility-based uplink power control in CDMA wireless networks with real-time services. Springer, Berlin Heidelberg, In Ad-hoc, Mobile and Wireless Networks

    Book  Google Scholar 

  5. Sammour I, Chalhoub G (2020) Evaluation of rate adaptation algorithms in IEEE 802.11 networks. Electronics

  6. Narayan S, Jayawardena C, Wang J, Ma W, Geetu G (2015) Performance test of IEEE 802.11ac wireless devices. In 2015 International Conference on Computer Communication and Informatics (ICCCI)

  7. Ravindranath NS, Singh I, Prasad A, Rao VS (2017) Study of performance of transmit beamforming and MU-MIMO mechanisms in IEEE 802.11ac WLANs. In 2017 International Conference on Inventive Communication and Computational Technologies (ICICCT), pages 419–429

  8. Nojima D, Lanante L, Nagao Y, Kurosaki M, Ochi H (2012) Performance evaluation for multi-user MIMO IEEE 802.11ac wireless LAN system. In 2012 14th International Conference on Advanced Communication Technology (ICACT), pages 804–808

  9. 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 Std 802.11-2020 (Revision of IEEE Std 802.11-2016), pages 1–4379 (2021)

  10. Giri N (2014) Capacity & performance comparison of SISO and MIMO system for next generation network (NGN). IJARCET 3:3031–35

    Google Scholar 

  11. André G, Bachelet B, Battistoni P, Belhassena A, Bimonte S, Cariou C, Chabot F, Chalhoub G, Couvent A, Garani G et al (2022) Lambdagriot: a new architecture for agricultural autonomous robots’ scheduling: from design to experiments. Cluster Computing, pages 1–23

  12. R Shamshiri R, Weltzien C, Hameed IA, J Yule I, E Grift T, Balasundram SK, Pitonakova L, Ahmad D, Chowdhary G (2018) Research and development in agricultural robotics: a perspective of digital farming. Int J Agric Biol Eng

  13. Abdulwahid MM, Al-Hakeem MS, Mosleh MF, Abd-Alhmeed RA (2020) Investigation and optimization method for wireless AP deployment based indoor network. IOP Conference Series: Materials Science and Engineering 745

  14. Kouhbor S, Ugon J, Kruger A, Rubinov A (2005) Optimal placement of access point in WLAN based on a new algorithm. In International Conference on Mobile Business (ICMB’05), pages 592–598

  15. Mateo Sanguino TDJ, Mendoza Betancourt JC (2018) Optimal modeling of wireless LANs. Complex 2018:1–15

    Article  Google Scholar 

  16. Ersoy M, Yigit T, Yüksel A (2020) A decision support tool for indoor 801.11ac wlan modeling using optimization techniques. El-Cezeri Fen ve Mühendislik Dergisi pages 1231–1244

  17. Kouhbor S, Ugon J, Mammadov M, Rubinov A, Kruger A (2006) Coverage in WLAN: optimization model and algorithm. In 2006 IEEE 63rd Vehicular Technology Conference

  18. Amaldi E, Capone A, Cesana M, Fratta L, Malucelli F (2005) Algorithms for WLAN coverage planning. In Wireless Systems and Mobility in Next Generation Internet, pages 52–65

  19. Zhou Y, Luo Z, Zhuang H (2013) Sensor-assisted coverage self-optimization for wireless local area network. In 2013 22nd Wireless and Optical Communication Conference

  20. Jaffrés-Runser K, Gorce J-M, Ubéda S (2008) Mono- and multiobjective formulations for the indoor wireless LAN planning problem. Comput Oper Res

  21. Jaffres-Runser K, Gorce J-M, Ubeda S (2006) QoS constrained wireless LAN optimization within a multiobjective framework. IEEE Wireless Communications

  22. Wendt S, Chicot A, Skrok M (2014) On beamforming performance in Wi-Fi outdoor networks. In 2014 11th International Symposium on Wireless Communications Systems (ISWCS), pages 338–342

  23. Uthansakul M, Uthansakul P (2011) Experiments with a low-profile beamforming MIMO system for WLAN applications. IEEE Antennas Propag Mag 56–69

  24. Xia P, Ghosh M, Lou H, Olesen R (2013) Improved transmit beamforming for WLAN systems. In 2013 IEEE Wireless Communications and Networking Conference (WCNC), pages 3500–3505

  25. Rappaport TS (1996) Wireless communications - principles and practice. Prentice Hall

    Google Scholar 

  26. https://wlanprofessionals.com/mcs-table-and-how-to-use-it/. Accessed: 2023-02-28

  27. Ahlin L, Zander J, Slimane B (2006) Principles of wireless communications. Professional Publishing Svc

  28. Krusevac S, Rapajic P, Kennedy RA (2005) Channel capacity of multi-antenna communication systems with closely spaced antenna elements. In 2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications, pages 2366–2370 Vol. 4

  29. Gesbert D, Bolcskei H, Gore DA, Paulraj AJ (2002) Outdoor MIMO wireless channels: models and performance prediction. IEEE Trans Commun 1926–1934

  30. Gast MS (2013) 802.11ac: a survival guide. “ O’ Reilly Media, Inc."

  31. https://www.itu.int/dms_pub/itu-r/opb/rep/R-REP-SM.2153-5-2015-PDF-E.pdf. Accessed: 2023-02-28

  32. Shannon CE (1949) Communication in the presence of noise. Proceedings of the IRE, pages 10–21

  33. Chiurtu N, Rimoldi B, Telatar E (2001) On the capacity of multi-antenna gaussian channels. In Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252), pages 53–

  34. Taub H, Schilling DL (1986) Principles of communication systems. McGraw-Hill Higher Education, 2nd edition

  35. Tang R, Zhou X, Wang C (2019) Singular value decomposition channel estimation in stbc mimo-ofdm system. Appl Sci

  36. Khalighi M-A, Raoof K, Jourdain G (2002) Capacity of wireless communication systems employing antenna arrays, a tutorial study. Wirel Pers Commun 321–352

  37. Singh W, Sengupta J (2013) An efficient algorithm for optimizing base station site selection to cover a convex square region in cell planning. Wirel Pers Commun 72(2)

  38. Sammour I, Chalhoub G (2022) Application-level data rate adaptation in Wi-Fi networks using deep reinforcement learning. In 2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall), pages 1–7

  39. Gallager RG (1968) Information theory and reliable communication. John Wiley Sons, Inc

  40. https://www.cctvcalculator.net/en/calculations/bandwidth-calculator/. Accessed: 2023-02-28

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Funding

This research was funded by the French government IDEX-ISITE initiative 16-IDEX-0001 (CAP 20-25).

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Authors and Affiliations

  1. LIMOS, University of Clermont-Auvergne, Clermont-Ferrand, France

    Ibrahim Sammour & Gerard Chalhoub

  2. INRAE, University of Clermont-Auvergne, Clermont-Ferrand, France

    Gil De Sousa

Authors
  1. Ibrahim Sammour
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  2. Gerard Chalhoub
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  3. Gil De Sousa
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Contributions

The contribution of each author is the following: Conceptualization: IS, GC; Formal Analysis: IS, GC; Funding Acquisition: GC, GDS; Investigation: IS, GC; Methodology: IS, GC; Use Case: IS, GC, GDS; Supervision: GC, GDS; Writing: IS, GC, GDS

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Correspondence to Ibrahim Sammour.

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Sammour, I., Chalhoub, G. & De Sousa, G. Capacity aware Wi-Fi networks deployment. Ann. Telecommun. 79, 361–379 (2024). https://doi.org/10.1007/s12243-023-00996-1

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  • DOI: https://doi.org/10.1007/s12243-023-00996-1

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