Sum Rate Maximization for Movable Antenna-Aided Downlink RSMA Systems
Rate splitting multiple access (RSMA) is regarded as a crucial and powerful physical layer (PHY) paradigm for next-generation communication systems. Particularly, users employ successive interference cancellation (SIC) to decode part of the interference while treating the remainder as noise. However...
Gespeichert in:
Hauptverfasser: | , , , , , , , |
---|---|
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | Zhang, Cixiao Peng, Size Xu, Yin Wu, Qingqing Ou, Xiaowu Guo, Xinghao He, Dazhi Zhang, Wenjun |
description | Rate splitting multiple access (RSMA) is regarded as a crucial and powerful
physical layer (PHY) paradigm for next-generation communication systems.
Particularly, users employ successive interference cancellation (SIC) to decode
part of the interference while treating the remainder as noise. However,
conventional RSMA systems rely on fixed-position antenna arrays, limiting their
ability to fully exploit spatial diversity. This constraint reduces beamforming
gain and significantly impairs RSMA performance. To address this problem, we
propose a movable antenna (MA)-aided RSMA scheme that allows the antennas at
the base station (BS) to dynamically adjust their positions. Our objective is
to maximize the system sum rate of common and private messages by jointly
optimizing the MA positions, beamforming matrix, and common rate allocation. To
tackle the formulated non-convex problem, we apply fractional programming (FP)
and develop an efficient two-stage, coarse-to-fine-grained searching (CFGS)
algorithm to obtain high-quality solutions. Numerical results demonstrate that,
with optimized antenna adjustments, the MA-enabled system achieves substantial
performance and reliability improvements in RSMA over fixed-position antenna
setups. |
doi_str_mv | 10.48550/arxiv.2411.08509 |
format | Article |
fullrecord | <record><control><sourceid>arxiv_GOX</sourceid><recordid>TN_cdi_arxiv_primary_2411_08509</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2411_08509</sourcerecordid><originalsourceid>FETCH-arxiv_primary_2411_085093</originalsourceid><addsrcrecordid>eNpjYJA0NNAzsTA1NdBPLKrILNMzMjE01DOwMDWw5GRwDS7NVQhKLElV8E2syMzNrEosyczPU0jLL1LwzS9LTMpJVXDMK0nNy0vUdcxMSU1RcMkvz8vJzMtWCAr2dVQIriwuSc0t5mFgTUvMKU7lhdLcDPJuriHOHrpgC-MLijJzE4sq40EWx4MtNiasAgDbzzfV</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Sum Rate Maximization for Movable Antenna-Aided Downlink RSMA Systems</title><source>arXiv.org</source><creator>Zhang, Cixiao ; Peng, Size ; Xu, Yin ; Wu, Qingqing ; Ou, Xiaowu ; Guo, Xinghao ; He, Dazhi ; Zhang, Wenjun</creator><creatorcontrib>Zhang, Cixiao ; Peng, Size ; Xu, Yin ; Wu, Qingqing ; Ou, Xiaowu ; Guo, Xinghao ; He, Dazhi ; Zhang, Wenjun</creatorcontrib><description>Rate splitting multiple access (RSMA) is regarded as a crucial and powerful
physical layer (PHY) paradigm for next-generation communication systems.
Particularly, users employ successive interference cancellation (SIC) to decode
part of the interference while treating the remainder as noise. However,
conventional RSMA systems rely on fixed-position antenna arrays, limiting their
ability to fully exploit spatial diversity. This constraint reduces beamforming
gain and significantly impairs RSMA performance. To address this problem, we
propose a movable antenna (MA)-aided RSMA scheme that allows the antennas at
the base station (BS) to dynamically adjust their positions. Our objective is
to maximize the system sum rate of common and private messages by jointly
optimizing the MA positions, beamforming matrix, and common rate allocation. To
tackle the formulated non-convex problem, we apply fractional programming (FP)
and develop an efficient two-stage, coarse-to-fine-grained searching (CFGS)
algorithm to obtain high-quality solutions. Numerical results demonstrate that,
with optimized antenna adjustments, the MA-enabled system achieves substantial
performance and reliability improvements in RSMA over fixed-position antenna
setups.</description><identifier>DOI: 10.48550/arxiv.2411.08509</identifier><language>eng</language><subject>Computer Science - Information Theory ; Mathematics - Information Theory</subject><creationdate>2024-11</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2411.08509$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2411.08509$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Cixiao</creatorcontrib><creatorcontrib>Peng, Size</creatorcontrib><creatorcontrib>Xu, Yin</creatorcontrib><creatorcontrib>Wu, Qingqing</creatorcontrib><creatorcontrib>Ou, Xiaowu</creatorcontrib><creatorcontrib>Guo, Xinghao</creatorcontrib><creatorcontrib>He, Dazhi</creatorcontrib><creatorcontrib>Zhang, Wenjun</creatorcontrib><title>Sum Rate Maximization for Movable Antenna-Aided Downlink RSMA Systems</title><description>Rate splitting multiple access (RSMA) is regarded as a crucial and powerful
physical layer (PHY) paradigm for next-generation communication systems.
Particularly, users employ successive interference cancellation (SIC) to decode
part of the interference while treating the remainder as noise. However,
conventional RSMA systems rely on fixed-position antenna arrays, limiting their
ability to fully exploit spatial diversity. This constraint reduces beamforming
gain and significantly impairs RSMA performance. To address this problem, we
propose a movable antenna (MA)-aided RSMA scheme that allows the antennas at
the base station (BS) to dynamically adjust their positions. Our objective is
to maximize the system sum rate of common and private messages by jointly
optimizing the MA positions, beamforming matrix, and common rate allocation. To
tackle the formulated non-convex problem, we apply fractional programming (FP)
and develop an efficient two-stage, coarse-to-fine-grained searching (CFGS)
algorithm to obtain high-quality solutions. Numerical results demonstrate that,
with optimized antenna adjustments, the MA-enabled system achieves substantial
performance and reliability improvements in RSMA over fixed-position antenna
setups.</description><subject>Computer Science - Information Theory</subject><subject>Mathematics - Information Theory</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNpjYJA0NNAzsTA1NdBPLKrILNMzMjE01DOwMDWw5GRwDS7NVQhKLElV8E2syMzNrEosyczPU0jLL1LwzS9LTMpJVXDMK0nNy0vUdcxMSU1RcMkvz8vJzMtWCAr2dVQIriwuSc0t5mFgTUvMKU7lhdLcDPJuriHOHrpgC-MLijJzE4sq40EWx4MtNiasAgDbzzfV</recordid><startdate>20241113</startdate><enddate>20241113</enddate><creator>Zhang, Cixiao</creator><creator>Peng, Size</creator><creator>Xu, Yin</creator><creator>Wu, Qingqing</creator><creator>Ou, Xiaowu</creator><creator>Guo, Xinghao</creator><creator>He, Dazhi</creator><creator>Zhang, Wenjun</creator><scope>AKY</scope><scope>AKZ</scope><scope>GOX</scope></search><sort><creationdate>20241113</creationdate><title>Sum Rate Maximization for Movable Antenna-Aided Downlink RSMA Systems</title><author>Zhang, Cixiao ; Peng, Size ; Xu, Yin ; Wu, Qingqing ; Ou, Xiaowu ; Guo, Xinghao ; He, Dazhi ; Zhang, Wenjun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-arxiv_primary_2411_085093</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Computer Science - Information Theory</topic><topic>Mathematics - Information Theory</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Cixiao</creatorcontrib><creatorcontrib>Peng, Size</creatorcontrib><creatorcontrib>Xu, Yin</creatorcontrib><creatorcontrib>Wu, Qingqing</creatorcontrib><creatorcontrib>Ou, Xiaowu</creatorcontrib><creatorcontrib>Guo, Xinghao</creatorcontrib><creatorcontrib>He, Dazhi</creatorcontrib><creatorcontrib>Zhang, Wenjun</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv Mathematics</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Zhang, Cixiao</au><au>Peng, Size</au><au>Xu, Yin</au><au>Wu, Qingqing</au><au>Ou, Xiaowu</au><au>Guo, Xinghao</au><au>He, Dazhi</au><au>Zhang, Wenjun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sum Rate Maximization for Movable Antenna-Aided Downlink RSMA Systems</atitle><date>2024-11-13</date><risdate>2024</risdate><abstract>Rate splitting multiple access (RSMA) is regarded as a crucial and powerful
physical layer (PHY) paradigm for next-generation communication systems.
Particularly, users employ successive interference cancellation (SIC) to decode
part of the interference while treating the remainder as noise. However,
conventional RSMA systems rely on fixed-position antenna arrays, limiting their
ability to fully exploit spatial diversity. This constraint reduces beamforming
gain and significantly impairs RSMA performance. To address this problem, we
propose a movable antenna (MA)-aided RSMA scheme that allows the antennas at
the base station (BS) to dynamically adjust their positions. Our objective is
to maximize the system sum rate of common and private messages by jointly
optimizing the MA positions, beamforming matrix, and common rate allocation. To
tackle the formulated non-convex problem, we apply fractional programming (FP)
and develop an efficient two-stage, coarse-to-fine-grained searching (CFGS)
algorithm to obtain high-quality solutions. Numerical results demonstrate that,
with optimized antenna adjustments, the MA-enabled system achieves substantial
performance and reliability improvements in RSMA over fixed-position antenna
setups.</abstract><doi>10.48550/arxiv.2411.08509</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | DOI: 10.48550/arxiv.2411.08509 |
ispartof | |
issn | |
language | eng |
recordid | cdi_arxiv_primary_2411_08509 |
source | arXiv.org |
subjects | Computer Science - Information Theory Mathematics - Information Theory |
title | Sum Rate Maximization for Movable Antenna-Aided Downlink RSMA Systems |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T00%3A29%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-arxiv_GOX&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Sum%20Rate%20Maximization%20for%20Movable%20Antenna-Aided%20Downlink%20RSMA%20Systems&rft.au=Zhang,%20Cixiao&rft.date=2024-11-13&rft_id=info:doi/10.48550/arxiv.2411.08509&rft_dat=%3Carxiv_GOX%3E2411_08509%3C/arxiv_GOX%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |