Abstract
This paper investigates the rate-splitting multiple access (RSMA) transmission design for multiuser multiple-input multiple-output (MIMO) uplink with EM exposure constraints. Specifically, the transmit covariance matrices and decoding order are optimized at the users and BS, respectively, via utilizing statistical channel state information (CSI) to maximize the energy efficiency (EE). The problem is formulated as non-convex mixed integer program, which is divided into the equivalent two subproblems. We first handle the inner problem by adopting the minorization-maximization (MM) and Dinkelbachs methods. Then, a modified water-filling scheme is proposed to obtain the transmit covariance matrices with fixed decoding permutation. For the outer problem, a greedy approach is proposed to obtain the decoding permutation. Numerical results verify the effectiveness of the proposed EM exposure aware EE maximization scheme for uplink RSMA.
Original language | English (US) |
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Title of host publication | Proceedings - 2022 14th International Conference on Signal Processing Systems, ICSPS 2022 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 634-639 |
Number of pages | 6 |
ISBN (Electronic) | 9798350336313 |
DOIs | |
State | Published - 2022 |
Event | 14th International Conference on Signal Processing Systems, ICSPS 2022 - Virtual, Online, China Duration: Nov 18 2022 → Nov 20 2022 |
Publication series
Name | Proceedings - 2022 14th International Conference on Signal Processing Systems, ICSPS 2022 |
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Conference
Conference | 14th International Conference on Signal Processing Systems, ICSPS 2022 |
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Country/Territory | China |
City | Virtual, Online |
Period | 11/18/22 → 11/20/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- Electromagnetic (EM) exposure
- energy efficiency (EE)
- rate-splitting multiple access (RSMA)
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing
- Instrumentation