TY - GEN
T1 - Multiuser Downlink NOMA Communication Enabled by Movable Antenna
AU - Li, Zhe
AU - Zhu, Lipeng
AU - Xiao, Zhenyu
AU - Ning, Boyu
AU - Da Costa, Daniel Benevides
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Movable antenna (MA) is an innovative technology that can enhance channel condition by altering antenna position within a local area. Integrating MA can further improve the performance of multiuser communications in non-orthogonal multiple access (NOMA) systems. In this paper, we investigate MA enabled NOMA for multiuser downlink communication, where the base station (BS) is equipped with a fixed-position antenna (FPA) array to serve multiple MA enabled user terminals (UTs). An optimization problem is formulated to maximize the minimum achievable rate among all the UTs by jointly optimizing the positions of MAs of each UT, the precoding matrix at BS, and the successive interference cancellation (SIC) decoding indicator matrix at UTs, subject to the limited movement area of the MAs, the maximum transmit power of the BS, and the SIC decoding condition. To solve this non-convex problem, we combine the hippo optimization (HO) method with the alternating optimization (AO) method to obtain a suboptimal solution efficiently. Simulation results show that the proposed algorithm can significantly improve the rate performance of the NOMA system compared to the conventional FPA system as well as other benchmark schemes.
AB - Movable antenna (MA) is an innovative technology that can enhance channel condition by altering antenna position within a local area. Integrating MA can further improve the performance of multiuser communications in non-orthogonal multiple access (NOMA) systems. In this paper, we investigate MA enabled NOMA for multiuser downlink communication, where the base station (BS) is equipped with a fixed-position antenna (FPA) array to serve multiple MA enabled user terminals (UTs). An optimization problem is formulated to maximize the minimum achievable rate among all the UTs by jointly optimizing the positions of MAs of each UT, the precoding matrix at BS, and the successive interference cancellation (SIC) decoding indicator matrix at UTs, subject to the limited movement area of the MAs, the maximum transmit power of the BS, and the SIC decoding condition. To solve this non-convex problem, we combine the hippo optimization (HO) method with the alternating optimization (AO) method to obtain a suboptimal solution efficiently. Simulation results show that the proposed algorithm can significantly improve the rate performance of the NOMA system compared to the conventional FPA system as well as other benchmark schemes.
KW - Movable antenna (MA)
KW - adaptive precoding and decoding
KW - antenna positioning
KW - non-orthogonal multiple access (NOMA)
UR - https://www.scopus.com/pages/publications/105006415335
U2 - 10.1109/WCNC61545.2025.10978390
DO - 10.1109/WCNC61545.2025.10978390
M3 - 会议稿件
AN - SCOPUS:105006415335
T3 - IEEE Wireless Communications and Networking Conference, WCNC
BT - 2025 IEEE Wireless Communications and Networking Conference, WCNC 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 IEEE Wireless Communications and Networking Conference, WCNC 2025
Y2 - 24 March 2025 through 27 March 2025
ER -