Link decision algorithm in underlay cognitive radio networks over a Rayleigh fading channel

Tan, Xiaobo; Zhang, Hang; Hu, Jian

doi:10.1049/iet-com.2013.0547

Cited by 1 publication

(2 citation statements)

References 31 publications

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“…In this section, numerical results validate the performance enhancement of proposed algorithm and the impact of channel condition parameters on SUs' delays are presented. The channel power gains of terrestrial links and satellite links are assumed to be unit mean [9]. The parameters of the simulation are listed in TABLE 1.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…In satellite terrestrial hybrid scenarios with non-ideal spectrum sensing, power allocation algorithm is introduced to optimize the effective capacity of the terrestrial link for the given Quality of Service (QoS) requirements [8]. A practical link decision algorithm is proposed to improve transmission performance over a Rayleigh fading channel [9]. CR principles can be used for satellite communications.…”

Section: Introductionmentioning

confidence: 99%

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Resource Allocation Method of Cognitive Satellite Terrestrial Networks Under Non-Ideal Spectrum Sensing

et al. 2019

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Recently, the cognitive satellite communication has attracted more attention because of the high spectrum efficiency in the satellite bands. This paper investigates a distributed joint resource allocation algorithm based on the convex optimization theory in the cognitive satellite terrestrial networks under non-ideal spectrum sensing. In the cognitive satellite terrestrial network scenario, satellite users act as secondary users (SUs) who have the ability to transmit over multiple and simultaneous radio access technologies (RATs). Considering primary user activity modeling, the goal of the proposed algorithm is to minimize the end-to-end delay of the SUs in an actual propagation channel scenario. The bandwidth of different RATs and the power of different SUs are jointly allocated, and then, the data being transported by each SU are sent based on the allocated bandwidth and power. The numerical results validate the performance enhancement of the proposed algorithm and show the impact of channel condition parameters on the SUs' delays under non-ideal spectrum sensing. The SUs transmission delays reduce by 81.31% after the resource allocation when the mean of primary user activity matrix is 0.9. INDEX TERMSCognitive satellite communication, resources allocation, primary user activity matrix, convex optimization.

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Section: Numerical Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%