Transmit Power and Rate Control for Spatial Reuse in Dense Wireless LANs

Transmit Power and Rate Control for Spatial Reuse in Dense Wireless LANs

Michael Knitter, Ruediger Kays, Wolfgang Endemann
Copyright: © 2021 |Pages: 21
DOI: 10.4018/IJITN.2021070102
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Abstract

Spatial reuse is an approach to better utilize the wireless medium in dense networks. In contrast to time multiplexed channel access, the idea is to allow a certain level of interference between parallel transmitting links. Depending on transmit power and rate settings, such parallel transmissions may result in increased overall system performance. This paper presents a systematic approach to model dense networks and optimize transmit power and rate settings for best total system performance. It discusses driving factors and limitations for spatial reuse. The paper introduces two algorithms for concurrent optimal transmit power and rate selection. System simulations using a fading channel model compare the performance of the algorithms against CSMA/CA. The simulation results show that average system performance can be increased by 100% and more.
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Many papers discuss the optimization of the OBSS_PD level of the current SR approach from IEEE P802.11ax™/D6.0 (2019).

Malhotra, Maity, and Dutta (2019) outline performance benefits of 80% in case of CCA threshold adjustment. However, Malhotra et al. (2019) evaluate just 2 BSSs with fixed modulation and coding scheme (MCS) with an AP distance of 100 m. Reducing the AP distance to 20 m does not lead to any benefits. Selinis, Katsaros, Vahid and Tafazolli (2018) present an iterative, adaptive algorithm for adjusting the OBSS_PD level. For a scenario of three BSSs with an AP distance of around 50 m the authors show performance benefits of 57%. Testing fixed MCS 0 and MCS 5 leads to mixed results.

The standard leaves out the question of rate control completely. Rate control is left to the implementation by the manufacturers. For SR evaluation, as presented in this paper, rate selection is as important as TP control. In an interfering environment there is a strong interrelation between these factors. Malhotra et al. (2019) and Selinis et al. (2018) also show that results highly depend on the given environment.

Another group of papers look beyond the standard and discuss mostly sequential rate and TP control.

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