On Spectral Efficiency for Multiuser MISO Systems Under Imperfect Channel Information

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Title: On Spectral Efficiency for Multiuser MISO Systems Under Imperfect Channel Information
Authors: Vu, Quang-DoanhTran, Le-NamJuntti, Markku
Permanent link: http://hdl.handle.net/10197/12176
Date: Feb-2021
Online since: 2021-05-19T15:44:36Z
Abstract: We consider downlink transmission whereby a multiantenna base station simultaneously transmits data to multiple single-antenna users. We focus on slow flat fading channel where the channel state information is imperfect, the channel estimation error is unbounded and its statistics are known. The aim is to design beamforming vectors such that the sum rate is maximized under the constraints on probability of successful transmission for each user and maximum transmit power. The optimization problem is intractable due to the chance constraints. To this end, we propose an efficient solution drawn upon stochastic optimization. In particular, we first use the step function and its smooth approximation to get an approximate nonconvex stochastic program of the considered problem. We then develop an iterative procedure to solve the stochastic program based on the stochastic successive convex approximation framework. The numerical results show that the proposed solution can achieve remarkable sum rate gains compared to the conventional one.
Funding Details: Science Foundation Ireland
Funding Details: Academy of Finland
Type of material: Journal Article
Publisher: IEEE
Journal: IEEE Transactions on Vehicular Technology
Volume: 70
Issue: 2
Start page: 1946
End page: 1951
Copyright (published version): 2021 IEEE
Keywords: Stochastic processesOptimizationChannel estimationUncertaintyMinimizationArray signal processingPower system reliability
DOI: 10.1109/tvt.2021.3050983
Language: en
Status of Item: Peer reviewed
ISSN: 0018-9545
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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