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Noncoherent Joint Transmission Beamforming for Dense Small Cell Networks: Global Optimality, Efficient Solution and Distributed Implementation
Author(s)
Date Issued
2020-09
Date Available
2021-02-01T17:15:32Z
Abstract
We investigate the coordinated multi-point noncoherent joint transmission (JT) in dense small cell networks. The goal is to design beamforming vectors for macro cell and small cell base stations (BSs) such that the weighted sum rate of the system is maximized, subject to a total transmit power at individual BSs. The optimization problem is inherently nonconvex and intractable, making it difficult to explore the full potential performance of the scheme. To this end, we first propose an algorithm to find a globally optimal solution based on the generic monotonic branch reduce and bound optimization framework. Then, for a more computationally efficient method, we adopt the inner approximation (InAp) technique to efficiently derive a locally optimal solution, which is numerically shown to achieve near-optimal performance. In addition, for decentralized networks such as those comprising of multi-access edge computing servers, we develop an algorithm based on the alternating direction method of multipliers, which distributively implements the InAp-based solution. Our main conclusion is that the noncoherent JT is a promising transmission scheme for dense small cell networks, since it can exploit the densitification gain, outperforms the coordinated beamforming, and is amenable to distributed implementation.
Sponsorship
Science Foundation Ireland
University College Dublin
Other Sponsorship
Academy of Finland
Type of Material
Journal Article
Publisher
IEEE
Journal
IEEE Transactions on Wireless Communications
Volume
19
Issue
9
Start Page
5891
End Page
5907
Copyright (Published Version)
2020 IEEE
Language
English
Status of Item
Peer reviewed
ISSN
1536-1276
This item is made available under a Creative Commons License
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