End-User-Centric Collaborative MIMO: Performance Analysis and Proof of Concept
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866912169715564544 |
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| author | Wen, Chao-Kai Chan, Yen-Cheng Huang, Tzu-Hao Zeng, Hao-Jun Wang, Fu-Kang Tsai, Lung-Sheng Liao, Pei-Kai |
| author_facet | Wen, Chao-Kai Chan, Yen-Cheng Huang, Tzu-Hao Zeng, Hao-Jun Wang, Fu-Kang Tsai, Lung-Sheng Liao, Pei-Kai |
| contents | The trend toward using increasingly large arrays of antenna elements continues. However, fitting more antennas into the limited space available on user equipment (UE) within the currently popular Frequency Range 1 spectrum presents a significant challenge. This limitation constrains the capacity-scaling gains for end users, even when networks support a higher number of antennas. To address this issue, we explore a user-centric collaborative MIMO approach, termed UE-CoMIMO, which leverages several fixed or portable devices within a personal area to form a virtually expanded antenna array. This paper develops a comprehensive mathematical framework to analyze the performance of UE-CoMIMO. Our analytical results demonstrate that UE-CoMIMO can significantly enhance the system's effective channel response within the current communication system without requiring extensive modifications. Further performance improvements can be achieved by optimizing the phase shifters on the expanded antenna arrays at the collaborative devices. These findings are corroborated by ray-tracing simulations. Beyond the simulations, we implemented these collaborative devices and successfully conducted over-the-air validation in a real 5G environment, showcasing the practical potential of UE-CoMIMO. Several practical perspectives are discussed, highlighting the feasibility and benefits of this approach in real-world scenarios. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_15109 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | End-User-Centric Collaborative MIMO: Performance Analysis and Proof of Concept Wen, Chao-Kai Chan, Yen-Cheng Huang, Tzu-Hao Zeng, Hao-Jun Wang, Fu-Kang Tsai, Lung-Sheng Liao, Pei-Kai Information Theory Signal Processing The trend toward using increasingly large arrays of antenna elements continues. However, fitting more antennas into the limited space available on user equipment (UE) within the currently popular Frequency Range 1 spectrum presents a significant challenge. This limitation constrains the capacity-scaling gains for end users, even when networks support a higher number of antennas. To address this issue, we explore a user-centric collaborative MIMO approach, termed UE-CoMIMO, which leverages several fixed or portable devices within a personal area to form a virtually expanded antenna array. This paper develops a comprehensive mathematical framework to analyze the performance of UE-CoMIMO. Our analytical results demonstrate that UE-CoMIMO can significantly enhance the system's effective channel response within the current communication system without requiring extensive modifications. Further performance improvements can be achieved by optimizing the phase shifters on the expanded antenna arrays at the collaborative devices. These findings are corroborated by ray-tracing simulations. Beyond the simulations, we implemented these collaborative devices and successfully conducted over-the-air validation in a real 5G environment, showcasing the practical potential of UE-CoMIMO. Several practical perspectives are discussed, highlighting the feasibility and benefits of this approach in real-world scenarios. |
| title | End-User-Centric Collaborative MIMO: Performance Analysis and Proof of Concept |
| topic | Information Theory Signal Processing |
| url | https://arxiv.org/abs/2409.15109 |