Distributed Noncoherent Transmit Beamforming for Dense Small Cell Networks
Quang-Doanh Vu, Le-Nam Tran, Markku J. Juntti
Abstract
Beamforming design for downlink coordinated multi-point (CoMP) transmission of dense small cell networks is considered. The goal is to maximize the weighted sum rate of the system subject to constraints on maximum transmit power at macro cell and small cell base stations (BSs). Here we focus on the noncoherent joint transmission technique, since it does not require tight network synchronization, and thus is more practically appealing. The considered optimization problem is intractable, thus we adopt the inner approximation (IA) to efficiently derive a locally optimal solution. Then, we develop a distributed implementation of the proposed IA based algorithm, based on the alternating direction method of multipliers (ADMM). More explicitly, in the distributed algorithm, the convex approximate subproblems obtained by the IA principles are solved by the ADMM procedure. As the result, the beamforming vectors are computed locally at the BSs. Numerical results are provided to confirm the validity of the proposed algorithms.
BibTeX
@inproceedings{icassp2019_distributednonco,
title = {Distributed Noncoherent Transmit Beamforming for Dense Small Cell Networks},
author = {Quang-Doanh Vu and Le-Nam Tran and Markku J. Juntti},
booktitle = {ICASSP 2019},
year = {2019}
}