On Robust Weighted Sum Rate Maximization for MIMO Interfering Broadcast Channels with Imperfect Channel Knowledge

• Published in: IEEE communications letters Vol. 17; no. 6; pp. 1156 - 1159
• Main Authors: LEE, Hyun-Ho, KO, Young-Chai, YANG, Hong-Chuan
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.06.2013; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Broadcasting. Videocommunications. Audiovisual; Channel estimation; Downlink; Exact sciences and technology; imperfect channel knowledge; MIMO; MIMO interfering broadcast channels; Minimization; Miscellaneous; Radiocommunications; Robustness; Signal to noise ratio; Telecommunications; Telecommunications and information theory; Transceivers; Transmitters. Receivers; weighted sum rate; MIMO system; Simulation; MIMO interfering broadcast channels; Base station; weighted sum rate; Broadcast channels; imperfect channel knowledge; Transceiver; Mean square error; Resilience
• ISSN: 1089-7798; 1558-2558
• DOI: 10.1109/LCOMM.2013.043013.130264

In this letter, we propose robust transceiver designs for MIMO interfering broadcast channels while taking imperfect channel knowledge into consideration. By exploiting the relationship between the weighted sum rate (WSR) and the weighted sum mean square error, we design a transceiver that maximizes WSR subject to per base station power constraint. We also develop a transceiver design with lower complexity than the WSR maximization transceiver by adopting the power constraint per user. From simulation results, we confirm the resilience of both the proposed designs against imperfect channel knowledge.