Joint beamforming design for distributed IRS assisted millimeter wave MU-MISO system
A joint beamforming design scheme for distributed intelligent reflecting surface (IRS) assisted multi-user communication was proposed to solve the reliable communication problem in the downlink of millimeter-wave multi user-multiple input single output (MU-MISO) system in non line of sight scenarios...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2022-04-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022058/ |
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| _version_ | 1841539987748683776 |
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| author | Zhongjie LI Jiyuan XIONG Wei GAO Jinying WEI |
| author_facet | Zhongjie LI Jiyuan XIONG Wei GAO Jinying WEI |
| author_sort | Zhongjie LI |
| collection | DOAJ |
| description | A joint beamforming design scheme for distributed intelligent reflecting surface (IRS) assisted multi-user communication was proposed to solve the reliable communication problem in the downlink of millimeter-wave multi user-multiple input single output (MU-MISO) system in non line of sight scenarios.Considering the power and constant-mode constraints, the active beamforming of the base station and passive beamforming of multiple IRS were modeled as a joint non-convex optimization problem with the objective of user weighting and sum rate maximization.A closed-form fractional programming technique was used to decouple this joint optimization problem into an easily solvable equivalent problem.A non-convex block coordinate descent algorithm was used to alternately optimize the active beamforming and passive beamforming matrices according to the prox-linear rule and the distributed successive convex approximation rule.The convergence proof and complexity analysis of the proposed algorithm were also given.The simulation results demonstrate that the algorithm can converge fast, and can effectively improve the system transmission rate with reduced complexity compared with the two baseline algorithms. |
| format | Article |
| id | doaj-art-a7995ce2fe6542f68341fd77571b1cac |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2022-04-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-a7995ce2fe6542f68341fd77571b1cac2025-01-14T06:30:21ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2022-04-014321622659397070Joint beamforming design for distributed IRS assisted millimeter wave MU-MISO systemZhongjie LIJiyuan XIONGWei GAOJinying WEIA joint beamforming design scheme for distributed intelligent reflecting surface (IRS) assisted multi-user communication was proposed to solve the reliable communication problem in the downlink of millimeter-wave multi user-multiple input single output (MU-MISO) system in non line of sight scenarios.Considering the power and constant-mode constraints, the active beamforming of the base station and passive beamforming of multiple IRS were modeled as a joint non-convex optimization problem with the objective of user weighting and sum rate maximization.A closed-form fractional programming technique was used to decouple this joint optimization problem into an easily solvable equivalent problem.A non-convex block coordinate descent algorithm was used to alternately optimize the active beamforming and passive beamforming matrices according to the prox-linear rule and the distributed successive convex approximation rule.The convergence proof and complexity analysis of the proposed algorithm were also given.The simulation results demonstrate that the algorithm can converge fast, and can effectively improve the system transmission rate with reduced complexity compared with the two baseline algorithms.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022058/intelligent reflecting surfacemillimeter wave communicationbeamformingalternating optimization |
| spellingShingle | Zhongjie LI Jiyuan XIONG Wei GAO Jinying WEI Joint beamforming design for distributed IRS assisted millimeter wave MU-MISO system Tongxin xuebao intelligent reflecting surface millimeter wave communication beamforming alternating optimization |
| title | Joint beamforming design for distributed IRS assisted millimeter wave MU-MISO system |
| title_full | Joint beamforming design for distributed IRS assisted millimeter wave MU-MISO system |
| title_fullStr | Joint beamforming design for distributed IRS assisted millimeter wave MU-MISO system |
| title_full_unstemmed | Joint beamforming design for distributed IRS assisted millimeter wave MU-MISO system |
| title_short | Joint beamforming design for distributed IRS assisted millimeter wave MU-MISO system |
| title_sort | joint beamforming design for distributed irs assisted millimeter wave mu miso system |
| topic | intelligent reflecting surface millimeter wave communication beamforming alternating optimization |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022058/ |
| work_keys_str_mv | AT zhongjieli jointbeamformingdesignfordistributedirsassistedmillimeterwavemumisosystem AT jiyuanxiong jointbeamformingdesignfordistributedirsassistedmillimeterwavemumisosystem AT weigao jointbeamformingdesignfordistributedirsassistedmillimeterwavemumisosystem AT jinyingwei jointbeamformingdesignfordistributedirsassistedmillimeterwavemumisosystem |