Resource Allocation for Multicarrier Rate-Splitting Multiple Access System
In this article, we investigate the resource allocation problem for the multicarrier rate-splitting multiple access (RSMA) systems. On each subcarrier, messages are non-orthogonal superimposed on the power domain through the one-layer RSMA scheme. A novel three-step resource allocation algorithm is...
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doaj-d879d2290e4349fda2f0b8e765d9b6b02021-03-30T04:44:46ZengIEEEIEEE Access2169-35362020-01-01817422217423210.1109/ACCESS.2020.30256359201435Resource Allocation for Multicarrier Rate-Splitting Multiple Access SystemLihua Li0https://orcid.org/0000-0002-4470-9252Kejia Chai1https://orcid.org/0000-0002-6320-9800Jilong Li2https://orcid.org/0000-0002-9903-2234Xingwang Li3https://orcid.org/0000-0002-0907-6517State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, ChinaThe Academy of Broadcasting Science, SARFT, Beijing, ChinaSchool of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, ChinaIn this article, we investigate the resource allocation problem for the multicarrier rate-splitting multiple access (RSMA) systems. On each subcarrier, messages are non-orthogonal superimposed on the power domain through the one-layer RSMA scheme. A novel three-step resource allocation algorithm is proposed to deal with the non-convex problem of sum rate maximization. In step 1, assuming average power allocation among subcarriers, we obtain the power distribution factors of the users in a single subcarrier by converting this problem into a difference of convex program (DCP), and approximate it by its first-order Taylor expansion. In step 2, we convert the user-subcarrier matching problem into an assignment problem and use the Hungarian algorithm to solve it. In step 3, the optimized power allocation algorithm is used to calculate the power allocation among the subcarriers, and then updates the power vector for each user. Numerical results show that our proposed three-step resource allocation algorithm could achieve comparable sum rate performance to the existing near-optimal solution with much lower computational complexity and outperforms orthogonal multiple access (OMA) scheme.https://ieeexplore.ieee.org/document/9201435/Multicarrier rate-splitting multiple accessresource allocationdifference of convex programHungarian algorithmoptimized power allocation algorithm |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lihua Li Kejia Chai Jilong Li Xingwang Li |
spellingShingle |
Lihua Li Kejia Chai Jilong Li Xingwang Li Resource Allocation for Multicarrier Rate-Splitting Multiple Access System IEEE Access Multicarrier rate-splitting multiple access resource allocation difference of convex program Hungarian algorithm optimized power allocation algorithm |
author_facet |
Lihua Li Kejia Chai Jilong Li Xingwang Li |
author_sort |
Lihua Li |
title |
Resource Allocation for Multicarrier Rate-Splitting Multiple Access System |
title_short |
Resource Allocation for Multicarrier Rate-Splitting Multiple Access System |
title_full |
Resource Allocation for Multicarrier Rate-Splitting Multiple Access System |
title_fullStr |
Resource Allocation for Multicarrier Rate-Splitting Multiple Access System |
title_full_unstemmed |
Resource Allocation for Multicarrier Rate-Splitting Multiple Access System |
title_sort |
resource allocation for multicarrier rate-splitting multiple access system |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
In this article, we investigate the resource allocation problem for the multicarrier rate-splitting multiple access (RSMA) systems. On each subcarrier, messages are non-orthogonal superimposed on the power domain through the one-layer RSMA scheme. A novel three-step resource allocation algorithm is proposed to deal with the non-convex problem of sum rate maximization. In step 1, assuming average power allocation among subcarriers, we obtain the power distribution factors of the users in a single subcarrier by converting this problem into a difference of convex program (DCP), and approximate it by its first-order Taylor expansion. In step 2, we convert the user-subcarrier matching problem into an assignment problem and use the Hungarian algorithm to solve it. In step 3, the optimized power allocation algorithm is used to calculate the power allocation among the subcarriers, and then updates the power vector for each user. Numerical results show that our proposed three-step resource allocation algorithm could achieve comparable sum rate performance to the existing near-optimal solution with much lower computational complexity and outperforms orthogonal multiple access (OMA) scheme. |
topic |
Multicarrier rate-splitting multiple access resource allocation difference of convex program Hungarian algorithm optimized power allocation algorithm |
url |
https://ieeexplore.ieee.org/document/9201435/ |
work_keys_str_mv |
AT lihuali resourceallocationformulticarrierratesplittingmultipleaccesssystem AT kejiachai resourceallocationformulticarrierratesplittingmultipleaccesssystem AT jilongli resourceallocationformulticarrierratesplittingmultipleaccesssystem AT xingwangli resourceallocationformulticarrierratesplittingmultipleaccesssystem |
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1724181378599223296 |