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Indexed by:会议论文

Date of Publication:2017-01-01

Included Journals:Scopus、EI、CPCI-S

Key Words:Cognitive radio; spectrum sensing; spectrum holes; spatial-temporal resolution tradeoff

Abstract:State-of-the-art sensing methods mostly exploit spectrum holes (SHs) in conventional frequency, time, and geography dimensions, which can hardly satisfy the increasing throughput demand of CR networks. Meanwhile, the rapid development of multi-antenna technology makes the terminal obtain the angle recognition capability. Motivated by this, this paper analyzes SHs from the angle/space domain and design a spatial sector based sensing-access scheme. In this case, the SH can be regarded as a kind of particle in spatial-temporal dimension and thus the spatial-temporal uncertainty principle (STUP) is discovered, which reveals an interesting constraint phenomenon between spatial and temporal resolutions. Based on STUP, we propose a novel spatial-temporal resolution tradeoff (STRT) scheme, whose objective is to identify the optimal spatial resolution size to maximize the throughput of CR networks. Different from the conventional temporal domain sensing-throughput tradeoff problem, we study the spatial-temporal cross-dimension optimization, thus fully exploiting SHs' spatial diversity to achieve a better performance. In addition, a fast search algorithm is proposed to track the optimal spatial resolution at an exponential convergence rate. Simulation results verify the efficiency of the proposed tradeoff scheme and search algorithm.