Efficient Algorithms for Sum Rate Maximization in Fronthaul-Constrained C-RANs

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Title: Efficient Algorithms for Sum Rate Maximization in Fronthaul-Constrained C-RANs
Authors: Nguyen, Kien-GiangVu, Quang-DoanhTran, Le-NamJuntti, Markku
Permanent link: http://hdl.handle.net/10197/11913
Date: 30-Aug-2019
Online since: 2021-02-01T17:54:23Z
Abstract: We consider downlink transmission of a fronthaul-constrained cloud radio access network. Our aim is to maximize the system sum data rate via jointly designing beamforming and user association. The problem is basically a mixed integer non-convex programs for which a global solution requires a prohibitively high computational effort. The focus is thus on efficient solutions capable of achieving the near optimal performance with low complexity. To this end, we transform the design problem into continuous programs by two approaches: penalty and sparse approximation methods. The resulting continuous nonconvex problems are then solved by the successive convex approximation framework. Numerical results indicate that the proposed methods are near-optimal, and outperform existing suboptimal methods in terms of achieved performances and computational complexity.
Funding Details: Academy of Finland
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2019 IEEE
Keywords: Array signal processingConvergenceApproximation algorithmsWireless communicationOptimizationDownlinkInterference
DOI: 10.1109/ISWCS.2019.8877096
Other versions: https://site.ieee.org/finland/iswcs-2019-in-oulu/
Language: en
Status of Item: Peer reviewed
Is part of: 2019 16th International Symposium on Wireless Communication Systems (ISWCS)
Conference Details: The 16th International Symposium on Wireless Communication Systems, Oulu, Finland, 27-30 August 2020
ISBN: 9781728125275
ISSN: 2154-0217
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Electrical and Electronic Engineering Research Collection

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