Moghimi F, Mallik RK, Schober R (2012)
Publication Type: Conference contribution
Publication year: 2012
Pages Range: 1138-1143
Conference Proceedings Title: GLOBECOM - IEEE Global Telecommunications Conference
ISBN: 9781467309219
DOI: 10.1109/GLOCOM.2012.6503266
In this paper, we investigate the sensing-throughput tradeoff in multi-antenna cognitive radio (CR) systems. Specifically, we optimize the sensing threshold, sensing time, and transmit power of a multi-input multi-output (MIMO) CR system for maximization of the opportunistic system throughput under transmit power and probability of false alarm and detection constraints. To this end, we propose a new transmission protocol which allows the CR user to simultaneously perform data transmission and spectrum sensing on different spatial subchannels. We formulate a non-convex optimization problem for the optimal choice of the sensing threshold, sensing times, and transmit powers in the different spatial subchannels of MIMO CR systems. Since finding the global optimal solution entails a very high complexity, we develop an efficient iterative algorithm that is based on the concept of alternating optimization and solves only convex subproblems in each iteration. Simulation results show that the developed algorithm closely approaches the global optimal performance and achieves significant performance gains compared to baseline schemes employing equal powers or equal sensing times in all subcannels. © 2012 IEEE.
APA:
Moghimi, F., Mallik, R.K., & Schober, R. (2012). Sensing time and power optimization in MIMO cognitive radio networks. In GLOBECOM - IEEE Global Telecommunications Conference (pp. 1138-1143). Anaheim, CA, US.
MLA:
Moghimi, Farzad, Ranjan K. Mallik, and Robert Schober. "Sensing time and power optimization in MIMO cognitive radio networks." Proceedings of the 2012 IEEE Global Communications Conference, GLOBECOM 2012, Anaheim, CA 2012. 1138-1143.
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