Resource allocation in relay-assisted MIMO MAC systems with statistical CSI |
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| Institution: | 1. Consorzio Nazionale Interuniversitario per le Telecomunicazioni (CNIT), and University of Cassino, Via G. Di Biasio, 43; 03043 Cassino (FR), Italy;2. Dresden University of Technology, Communications Laboratory, Communications Theory, Dresden, Germany;1. Broadband Wireless Networking (BWN) Laboratory, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States;2. Department of Electrical Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14260, United States;1. Department of Computer Science, Netanya Academic College, 1 University St., Netanya, 42365, Israel;2. Lantiq, 13 Zarchin St., Ra’anana, 43662, Israel;1. Department of Technology Management and Innovation, NYU Poly, United States;2. Department of Computer Science and Engineering, University of Nevada, Reno, United States;3. Department of ECE, Stevens Institute of Technology, United States;1. Mobility Group, DeustoTech, University of Deusto, Bilbao, Spain;2. Electrical Engineering Department, Indian Institute of Technology Delhi, New Delhi, India;3. Bharti School of Telecom, Indian Institute of Technology Delhi, New Delhi, India;4. The LNM Institute of Information Technology, Jaipur, India;1. Qatar Mobility Innovations Center (QMIC), Qatar Science and Technology Park, P.O. Box 210531, Doha, Qatar;2. Department of Electrical Engineering and Computer Science, University of Kansas, KS, United States;3. Electrical Engineering Program, King Abdullah University of Science and Technology (KAUST), Thuwal, Makkah Province, Saudi Arabia |
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| Abstract: | In this work, the issue of non-cooperative resource allocation in the uplink of a relay-assisted MIMO MAC (multiple input multiple output multiple access channel) system with statistical CSI (channel state information) is considered. The mobile transmitters pursue individual achievable ergodic rate maximization, whereas the relay aims at optimizing the global performance of the system. The problem is formulated as a Stackelberg game with the relay as the leader, and the multiple access users as the followers. Moreover, necessary and sufficient conditions for beamforming optimality at the relay are derived, which simplifies the resource allocation process. Finally, numerical results corroborate the theoretical findings. |
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