Parallel and distributed algorithm for partial coordination in massive MIMO networks

We propose a parallel and distributed algorithm for the problem of beamformer design and power allocation in multi-cell massive multiple-input multiple-output (MIMO) networks. Inter-cell coordination and overlapping clusters are considered to enhance the system performance. To overcome the tight cou...

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Bibliographic Details
Published in:IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops (Print) pp. 507 - 511
Main Authors: Wan, Qian, Niu, Kai, Lin, Jiaru
Format: Conference Proceeding
Language:English
Published: IEEE 01.09.2014
Subjects:
Antennas
Beamformer Design
Interference
Massive MIMO
MIMO
Parallel Algorithm
Partial Coordination
Power demand
Resource management
Signal to noise ratio
System performance
ISSN:2166-9570
Online Access:Get full text
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Summary:We propose a parallel and distributed algorithm for the problem of beamformer design and power allocation in multi-cell massive multiple-input multiple-output (MIMO) networks. Inter-cell coordination and overlapping clusters are considered to enhance the system performance. To overcome the tight coupling induced by inter-cell coordination and overlapping clusters, we formulate the system into a two-layered framework. In this framework, the problem is decomposed into independent subproblems which are naturally solvable in a parallel and distributed manner. For each subproblem, an efficient parallel algorithm is proposed to speed up the convergence rate. The simulation results show that our inter-cell coordination strategy can approach the performance achieved by a high-quality limited inter-cell coordination strategy at low signal-to-noise ratio (SNR), and outperform it at high SNR. Moreover, the proposed parallel algorithm enjoys great parallelization speedup with moderate transmit power consumption.
ISSN:2166-9570
DOI:10.1109/PIMRC.2014.7136218