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Scalable Coordinated Beamforming for Dense Wireless Cooperative Networks by Shi, Yuanming; Zhang, Jun; Letaief, Khaled B. is a scholarly article available to read on EtoBox.

What is Scalable Coordinated Beamforming for Dense Wireless Cooperative Networks about?

To meet the ever growing demand for both high throughput and uniform coverage in future wireless networks, dense network deployment will be ubiquitous, for which co- operation among the access points is critical. Considering the computational complexity of designing coordinated beamformers for dense networks, low-complexity and suboptimal precoding strategies are often adopted. However, it is not clear how much performance loss will be caused. To enable optimal coordinated beamforming, in this paper, we propose a framework to design a scalable beamforming algorithm based on the alternative direction method of multipliers (ADMM) method. Specifically, we first propose to apply the matrix stuffing technique to transform the original optimization problem to an equivalent ADMM-compliant problem, which is much more efficient than the widely-used modeling framework CVX. We will then propose to use the ADMM algorithm, a.k.a. the operator splitting method, to solve the transformed ADMM-compliant problem efficiently. In particular, the subproblems of the ADMM algorithm at each iteration can be solved with closed-forms and in parallel. Simulation results show that the proposed techniques can

Author

Shi, Yuanming; Zhang, Jun; Letaief, Khaled B.

Published

2014

Language

EN