Paper Info
Title
Enhance the edge with beamforming: Performance analysis of beamforming-enabled WLAN
Abstract
The ultra-dense edge networks with mmWave and beamforming are envisioned as a potential solution to satisfy the high rate and capacity requirements in 5G networks. In IEEE 802.11 ad, which is the first beamforming-enabled WLAN standard, all stations (STs) contend for beamforming (BF) training opportunities in associated beamforming training (A-BFT) slots. However, due to limited number of A-BFT slots, BF training suffers from a severe collision issue, especially in dense networks, which results in a low channel utilization in the A-BFT stage. To achieve the maximum channel utilization, it is of significance to allocate A-BFT slots efficiently. Therefore, in this paper, we propose an analytical model to analyze IEEE 802.11 ad medium access control (MAC) protocol in BF training stage. In particular, we analyze the successful transmission probability and channel utilization of IEEE 802.11 ad MAC protocol in the dense network. Based on theoretical analysis, we provide the optimal number of A-BFT slots. In addition, theoretical analysis indicates that the maximum channel utilization in the A-BFT stage is barely e <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−1</sup> which is the same as that of slotted ALOHA protocol. Simulation results are provided to validate the accuracy of the analytical model and theoretical analysis.
Year
DOI
Venue
2018
10.23919/WIOPT.2018.8362872
2018 16th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)
Keywords
Field
DocType
performance analysis,ultra-dense edge networks,capacity requirements,WLAN standard,beamforming training opportunities,A-BFT slots,dense network,low channel utilization,A-BFT stage,maximum channel utilization,analytical model,IEEE 802.11 ad medium access control protocol,BF training stage,successful transmission probability,IEEE 802.11 ad MAC protocol,theoretical analysis,slotted ALOHA protocol,beamforming-enabled WLAN performance analysis,beamforming training slots,BF training,5G networks
Beamforming,Aloha,Computer science,Computer network,Communication channel,Collision,Access control
Conference
ISBN
Citations 
PageRank 
978-1-5386-4621-2
0
0.34
References 
Authors
6
6
Name
Order
Citations
PageRank
wen wu111715.85
Qinghua Shen21148.35
Khalid Aldubaikhy301.01
Nan Cheng497081.34
Ning Zhang529917.82
Xuemin Shen615389928.67