2018/01/11 by Ebrahim Bedeer, Bedeer, Ebrahim, Octavia A. Dobre +5
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Cognitive Radio Networks and Spectrum Sensing #Cooperative Communication and Network Coding #FOS: Electrical engineering #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1801.07566
openalex publication_date 2018/01/11 · openalex created_date 2022/10/01 · openalex updated_date 2026/07/28
In this paper, we adopt a multiobjective optimization approach to jointly\noptimize the rate and power in OFDM-based cognitive radio (CR) systems. We\npropose a novel algorithm that jointly maximizes the OFDM-based CR system\nthroughput and minimizes its transmit power, while guaranteeing a target bit\nerror rate per subcarrier and a total transmit power threshold for the\nsecondary user (SU), and restricting both co-channel and adjacent channel\ninterferences to existing primary users (PUs) in a statistical manner. Since\nthe interference constraints are met statistically, the SU transmitter does not\nrequire perfect channel-state-information (CSI) feedback from the PUs\nreceivers. Closed-form expressions are derived for bit and power allocations\nper subcarrier. Simulation results illustrate the performance of the proposed\nalgorithm and compare it to the case of perfect CSI. Further, the results show\nthat the performance of the proposed algorithm approaches that of an exhaustive\nsearch for the discrete global optimal allocations with significantly reduced\ncomputational complexity.\n