Millimeter-wave communication is a highly promising technology to deliver multi-gigabit-per-second transmission rates for next-generation wireless LANs (WLANs). To achieve such ultra-high throughput performance in indoor scenarios, line-of-sight (LoS) connectivity becomes a critical requirement. Prior work has proposed access point (AP) mobility as an approach to improve LoS conditions and, thereby, approach optimum mmWave WLAN performance. In this work, we present a comprehensive simulation study of linear AP mobility that investigates various dimensions, including the number of mobile APs, the placement of the mobile AP platforms, and the length of the platforms. The results show how WLAN performance varies across these dimensions and also compares the results against a varying number of static APs to quantity the performance gains achievable from mobility. The results show that even 2 or 3 mobile APs can significantly outperform a much larger number of static APs and that deploying up to 3 mobile APs in a room brings substantial performance gains.
Blockage Robustness in Access Point Association for mmWave Wireless LANs with Mobility
Millimeter-wave wireless LANs are targeted for use with bandwidth-intensive applications such as virtual/augmented reality and real-time high-definition video. To maintain high throughput while addressing mmWave signal blockages, multiple access points (APs) within one room to improve line-of-sight conditions is considered a promising approach. In a scenario with fixed and mobile (human) obstacles, we mathematically analyze LoS blockages produced by mobility, and use the analysis to develop a multi-AP association scheme. Our scheme statically assigns primary and backup APs in order to maximize blockage robustness and perform load balancing among APs. Simulation results show that: 1) our static approach can provide blockage tolerance close to that of an expensive dynamic probing approach while achieving higher throughput, 2) the use of client mobility patterns, if known, can improve our static approach even further, and 3) our approach achieves significantly better fairness and load balancing than existing approaches.
- Award ID(s):
- 1813242
- Publication Date:
- NSF-PAR ID:
- 10322917
- Journal Name:
- IEEE Conference on Local Computer Networks
- Sponsoring Org:
- National Science Foundation
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Accepted Manuscript1.0
- Publisher's Version of Record
- https://doi.org/10.1109/LCN48667.2020.9314770
