Cooperative spectrum sharing MIMO systems with successive decoding |
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| Institution: | 1. Department of Computer Engineering, Piraeus University of Applied Sciences, 122 44, Aegaleo, Greece;2. Department of Informatics and Computer Technology, Technological Education Institute of Western Macedonia, 52 100, Kastoria, Greece;3. Department of Informatics, University of Piraeus, 185 34, Piraeus, Greece;1. Hume Center for National Security and Technology, Virginia Tech, Arlington, VA, 22203, United States;2. Nokia Networks, Arlington Heights, IL, 60004, United States;1. University Medical Center Groningen, Department of Radiology, University of Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands;2. Centre for Systems Chemistry, Stratingh Institute for Chemistry, Faculty of Science and Engineering, University of Groningen, Nijenborgh 7, 9747 AG Groningen, The Netherlands;1. Department of Electrical Engineering, Faculty of Electrical and Computer Engineering, University of Engineering and Technology, Peshawar, Pakistan;2. Department of Computer Science, Faculty of Computer Science, Canal Suez University, Egypt;3. Department of Computer Engineering, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia;4. Department of Electrical Engineering, College of Engineering, Taif University, Taif 21944, Saudi Arabia;5. Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia;6. Department of Computer Engineering, Taif University, Saudi Arabia;1. School of information and technology, Hebei University of Economics and Business, China;2. School of Computer Science, University of Adelaide, Australia;3. School of Computer and Information Technology, Beijing Jiaotong University, China;1. School of Computing and Communications, University of Technology Sydney, Broadway NSW 2007, Australia;2. ICTR Institute, Faculty of Informatics, University of Wollongong, Australia |
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| Abstract: | A spectrum sharing system with primary and secondary nodes, each equipped with an arbitrary number of antennas, is investigated. Particularly, the outage performance of an underlay cognitive system is analytically studied, in the case when the end-to-end () communication is established via an intermediate relay node. To better enhance the communication, successive interference cancellation (SIC) is adopted, which compensates for both the transmission power constraint and the presence of interference from primary nodes. Both the relay and secondary receiver perform unordered SIC to successively decode the multiple streams, whereas the decode-and-forward relaying protocol is used for the communication. New closed-form expressions for the outage performance of each transmitted stream are derived in terms of finite sum series of the Tricomi confluent hypergeometric function. In addition, simplified yet tight approximations for the asymptotic outage performance are obtained. Useful engineering insights are manifested, such as the diversity order of the considered system and the impact of interference from the primary nodes in conjunction with the constrained transmission power of the secondary nodes. |
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| Keywords: | Cognitive radio Multiple input–multiple output (MIMO) Performance analysis Spectrum sharing Successive interference cancellation (SIC) |
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