Communication-efficient distributed precoding design for Massive MIMO
A communication-efficient distributed precoding scheme was proposed for multi-baseband processing unit (BBU) baseband processing architecture, aiming to reduce fronthaul data exchange and computational complexity between BBUs.Firstly, a distributed framework based on R-WMMSE algorithm was proposed,...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2023-08-01
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| Series: | Tongxin xuebao |
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| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023147/ |
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| _version_ | 1841540015110225920 |
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| author | Mian LI Yang LI Zonghui ZHANG Qingjiang SHI |
| author_facet | Mian LI Yang LI Zonghui ZHANG Qingjiang SHI |
| author_sort | Mian LI |
| collection | DOAJ |
| description | A communication-efficient distributed precoding scheme was proposed for multi-baseband processing unit (BBU) baseband processing architecture, aiming to reduce fronthaul data exchange and computational complexity between BBUs.Firstly, a distributed framework based on R-WMMSE algorithm was proposed, which utilized the subspace property of the optimal solution to compress the interactive data losslessly, thereby reducing data exchange.Furthermore, two learnable compression modules based on matrix multiplication were designed, using optimized computing structures and matrix parameters to reduce the parameters and computations while maintaining function expressiveness.Finally, the learnable modules and the distributed precoding framework were jointly optimized with achievable rate as the optimization objective to obtain the final model.The proposed scheme can achieve guaranteed precoding performance under lower requirements on data interaction and computational complexity |
| format | Article |
| id | doaj-art-0734f4ed0de245bba83912ed2deb99d3 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2023-08-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-0734f4ed0de245bba83912ed2deb99d32025-01-14T06:22:45ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2023-08-0144374859385641Communication-efficient distributed precoding design for Massive MIMOMian LIYang LIZonghui ZHANGQingjiang SHIA communication-efficient distributed precoding scheme was proposed for multi-baseband processing unit (BBU) baseband processing architecture, aiming to reduce fronthaul data exchange and computational complexity between BBUs.Firstly, a distributed framework based on R-WMMSE algorithm was proposed, which utilized the subspace property of the optimal solution to compress the interactive data losslessly, thereby reducing data exchange.Furthermore, two learnable compression modules based on matrix multiplication were designed, using optimized computing structures and matrix parameters to reduce the parameters and computations while maintaining function expressiveness.Finally, the learnable modules and the distributed precoding framework were jointly optimized with achievable rate as the optimization objective to obtain the final model.The proposed scheme can achieve guaranteed precoding performance under lower requirements on data interaction and computational complexityhttp://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023147/distributed precodingdata compressiondeep learningjoint optimization |
| spellingShingle | Mian LI Yang LI Zonghui ZHANG Qingjiang SHI Communication-efficient distributed precoding design for Massive MIMO Tongxin xuebao distributed precoding data compression deep learning joint optimization |
| title | Communication-efficient distributed precoding design for Massive MIMO |
| title_full | Communication-efficient distributed precoding design for Massive MIMO |
| title_fullStr | Communication-efficient distributed precoding design for Massive MIMO |
| title_full_unstemmed | Communication-efficient distributed precoding design for Massive MIMO |
| title_short | Communication-efficient distributed precoding design for Massive MIMO |
| title_sort | communication efficient distributed precoding design for massive mimo |
| topic | distributed precoding data compression deep learning joint optimization |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023147/ |
| work_keys_str_mv | AT mianli communicationefficientdistributedprecodingdesignformassivemimo AT yangli communicationefficientdistributedprecodingdesignformassivemimo AT zonghuizhang communicationefficientdistributedprecodingdesignformassivemimo AT qingjiangshi communicationefficientdistributedprecodingdesignformassivemimo |