Title
DCAP: Improving the Capacity of WiFi Networks with Distributed Cooperative Access Points.
Abstract
This paper presents the Distributed Cooperative Access Points (DCAP) system that can simultaneously serve multiple clients using cooperative beamforming to increase the capacity of WiFi-type wireless networks. The distributed APs are connected by Ethernet and driven by independent low-cost local oscillators. To facilitate cooperative beamforming, we address three major challenges: the phase synchronization, the channel state information (CSI) measurement, and the user selection. Specifically, we develop 1) a cooperative tracking scheme to track signal phase drifts at symbol level without adding extra hardware complexity; 2) an incremental CSI estimation mechanism that removes the per-frame CSI measurement overhead of previous approaches; and 3) a simple random user selection algorithm that scales the network capacity linearly and delivers over 70 percent performance compared to the optimal but complex greedy algorithm. We implement DCAP on the Sora software radio platform and evaluate it in a wireless network with nine nodes. Experimental results show that the cooperative beamforming is feasible in practice, and our cooperative phase tracking can ensure strict phase alignment ( 0.03 radian) among APs during the entire beamforming period (1.2 ms). Otherwise, without tracking, phases may drift by 0.3 radian over merely 600 s, causing that the symbol SNR decreases as large as 20 dB.
Year
DOI
Venue
2018
10.1109/TMC.2017.2709743
IEEE Trans. Mob. Comput.
Keywords
Field
DocType
Array signal processing,Wireless fidelity,Synchronization,Complexity theory,Frequency synchronization,Estimation,Oscillators
Wireless network,Beamforming,Synchronization,Cooperative diversity,Computer science,Selection algorithm,Phase synchronization,Computer network,Real-time computing,Greedy algorithm,Channel state information
Journal
Volume
Issue
ISSN
17
2
1536-1233
Citations 
PageRank 
References 
2
0.39
16
Authors
6
Name
Order
Citations
PageRank
Taotao Wang118021.53
Qing Yang2433.59
Kun Tan3135098.64
Jiansong Zhang459648.98
Soung Chang Liew53307237.57
Shengli Zhang6107584.58