| Title | Reconfigurable MIMO towards Electro-magnetic Information Theory: Capacity Maximization Pattern Design |
| Authors | Wang, Haonan Li, Ang Liu, Ya-Feng Qin, Qibo Song, Lingyang Li, Yonghui |
| Affiliation | Xi An Jiao Tong Univ, Sch Informat & Commun Engn, Xian, Shaanxi, Peoples R China Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China Shanghai Huawei Technol Co Ltd, Wireless Network RAN Res Dept, Shanghai, Peoples R China Peking Univ, Sch Elect Engn & Comp Sci, Beijing, Peoples R China Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia |
| Keywords | ANTENNA ARRAY |
| Issue Date | 2022 |
| Publisher | 2022 IEEE 95TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-SPRING) |
| Abstract | In this paper, we focus on the pattern reconfigurable multiple-input multiple-output (PR-MIMO), a technique that has the potential to bridge the gap between electro-magnetics and communications towards the emerging Electro-magnetic Information Theory (EIT). Specifically, we focus on the pattern design problem aimed at maximizing the channel capacity for reconfigurable MIMO communication systems, where we firstly introduce the matrix representation of PR-MIMO and further formulate a pattern design problem. We decompose the pattern design into two steps, i.e., the correlation modification process to optimize the correlation structure of the channel, followed by the power allocation process to improve the channel quality based on the optimized channel structure. For the correlation modification process, we propose a sequential optimization framework with eigenvalue decomposition to obtain near-optimal solutions. For the power allocation process, we provide a closed-form power allocation scheme to redistribute the transmission power among the modified subchannels. Numerical results show that the proposed pattern design scheme offers significant improvements over legacy MIMO systems, which motivates the application of PR-MIMO in wireless communication systems. |
| URI | http://hdl.handle.net/20.500.11897/657207 |
| ISBN | 978-1-6654-8243-1 |
| DOI | 10.1109/VTC2022-Spring54318.2022.9860955 |
| Indexed | CPCI-S(ISTP) |
| Appears in Collections: | 信息科学技术学院 |
