15738897318 / wsr_maximization_for_ris_system

This repository contains the source codes for the paper ``Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks'' in IEEE Transactions on Wireless Communications.

WSR maximization for RIS system

This repository contains the source codes of the Fig.4(b) in the paper ``Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks'' published in IEEE Transactions on Wireless Communications.

Introduction of the codes

Plot fig.4(b)

Run the file ``converge_plot.m''. You may get the following figure

Generate random channel

To generate one snapshot for simulation, one may run following three files in sequence：

• ``generate_location.m'': Random the users' locations
• ``generate_pathloss.m'': Calucate the pathloss according to the locations
• ``generate_channel.m''" Randomly generate the channel realizations

Main codes for the algorithms

The following are the main code files for the 5 algorihtms shown in the figure.

• ``without_RIS.m'': There's no RIS in the system.
• ``RIS_phaserand.m'': The RIS adopts random phase.
• ``converge_AO_perfect.m'': Alternating optimization approach illustrated in Section III. Note that, to support the Riemannian conjugate gradient (RCG) algorithm, one should download the Manopt toolbox from https://www.manopt.org/ at first.
• ``converge_A2_perfect.m'': Proposed algorithm under the perfect CSI setup.
• ``converge_A2_imperfect.m'': Proposed algorithm under the imperfect CSI setup.

Note

You may cite us by
@ARTICLE{8982186,
author={H. Guo and Y.-C. Liang and J. Chen and E. G. Larsson},
journal={IEEE Trans. Wireless Commun.},
title={Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks},
volume = {19}, number = {5}, pages = {3064-3076}, ISSN = {1558-2248}, DOI = {10.1109/TWC.2020.2970061}, year = {2020}, type = {Journal Article} }

One previous version of this paper is named ``Weighted Sum-Rate Optimization for Intelligent Reflecting Surface Enhanced Wireless Networks'', which can be found in ArXiv as well (see https://arxiv.org/abs/1905.07920). The short version has been presented in IEEE GLOBECOM 2019.