TY - GEN
T1 - Electromagnetic Exposure Aware RSMA for Multiuser Massive MIMO Uplink
AU - Jiang, Hanyu
AU - You, Li
AU - Elzanaty, Ahmed
AU - Wang, Jue
AU - Wang, Wenjin
AU - Gao, Xiqi
AU - Alouini, Mohamed Slim
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Electromagnetic (EM) exposure
KW - energy efficiency (EE)
KW - rate-splitting multiple access (RSMA)
UR - http://www.scopus.com/inward/record.url?scp=85154554578&partnerID=8YFLogxK
U2 - 10.1109/ICSPS58776.2022.00117
DO - 10.1109/ICSPS58776.2022.00117
M3 - Conference contribution
AN - SCOPUS:85154554578
T3 - Proceedings - 2022 14th International Conference on Signal Processing Systems, ICSPS 2022
SP - 634
EP - 639
BT - Proceedings - 2022 14th International Conference on Signal Processing Systems, ICSPS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Conference on Signal Processing Systems, ICSPS 2022
Y2 - 18 November 2022 through 20 November 2022
ER -