Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/32470
Title: Design of spectrum sensing and mac in cognitive radio networks
Authors: ZHENG SHOUKANG
Keywords: Cognitive Radio, Spectrum Sensing, Medium Access Control, Bayesian Detector, Cross-Layer, Cooperative Sensing
Issue Date: 29-Jul-2011
Source: ZHENG SHOUKANG (2011-07-29). Design of spectrum sensing and mac in cognitive radio networks. ScholarBank@NUS Repository.
Abstract: In cognitive radio networks, the secondary users are allowed to make use of the primary channels as long as there is little or no interference to the primary network. The protection to the primary users motivates the research in spectrum sensing and cognitive radio MAC design to provide efficient manner of detecting the primary signals over the channel and sharing the available spectrum among the secondary users. Based on the prior information on the high probability that primary user is idle, an optimal Bayesian detector is proposed for spectrum sensing to detect digitally modulated (PSK) primary signals (including BPSK, MPSK and unknown order MPSK modulated signals) over AWGN channels and Rayleigh fading channels. Compared to energy detector and Neyman-Pearson detector, the proposed detector can achieve higher overall spectrum utilization and secondary users' throughput and at the same time the primary user is well protected from secondary user's interference. In a distributed Opportunistic Spectrum Access network, protecting the primary network from secondary users' interference, the proposed cross-layered design considers the random medium access control protocol in conjunction with the sensing protocol design to maximize the secondary network throughput. Through numerical results, the cross-layered approach is shown to perform much better than that of the layered design approach. Based on random access using IEEE 802.11 DCF and IEEE 802.11e EDCA, a MAC protocol design in the ad hoc cognitive radio networks, is proposed to support cooperative sensing to mitigate the degradation of detection outcome due to the fading channels, allowing multiple sensing reports and fused decision transmitted on the control channel. The trade-off between cooperative sensing gain and channel reuse efficiency is exploited to improve the overall achievable throughput among all the data channels and a sequential detection approach is proposed to reduce the average service time for sensing decisions.
URI: http://scholarbank.nus.edu.sg/handle/10635/32470
Appears in Collections:Ph.D Theses (Open)

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