Channel Selection in Multi-channel Multi-user RF Energy Harvesting Cognitive Radio Networks

Kumbhar, Jayant M; Kulkarni, Varada Potnis

doi:10.1109/i2ct42659.2018.9058242

Cited by 1 publication

(1 citation statement)

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“…Researchers have found that the depletion of spectral resources is just an illusion, while the root cause is low spectral utilization [1][2][3]. As one of the critical technologies that can make rational use of spectral resources and effectively improve spectral utilization, cognitive radio (CR) has become a research hotspot [4]. It can sense the surrounding environment, reconfigure the relevant parameters according to the network load, and use dynamic spectrum access (DSA) to enable unauthorized SUs to use the idle spectrum opportunistically without interference to authorized PUs so as to solve the problem of insufficient spectrum resources [5,6].…”

Section: Introductionmentioning

confidence: 99%

A Multichannel Allocation Strategy Based on Preemption Threshold and Preemption Probability in Cognitive Radio Networks

Zhao

Xiang

2021

Mobile Information Systems

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In traditional multichannel cognitive radio networks (CRNs), users are split into two different priorities. Because of the low priority of secondary users (SUs), SU packets’ transmissions are easily interrupted by primary users (PUs). In this paper, two control parameters, called preemption threshold H and preemption probability q, are used to regulate the preemption behavior of PU packets to improve the transmission performance of SU packets. When all channels in the system are occupied, the preemption behavior of PU packets will be adjusted according to the amount of SU packets that are transmitting in the system. If the amount is larger than H, the recently arrived PU packet either preempts a channel with probability q or leaves the system with probability 1 − q . The central controller manages the system’s channel usage right and determines a series of access behaviors of user packets. Considering the possible imperfect sensing, a discrete-time queueing model is developed with the proposed preemption control mechanism. Then we obtain some performance index expressions of PU and SU packets founded on the system’s state transition matrix and make the corresponding performance figures through numerical experiment. Finally, we construct a system utility function and determine the optimal preemption threshold and preemption probability through the seagull optimization algorithm (SOA). Experimental data show that the proposed mechanism by setting preemption threshold and preemption probability can significantly reduce SU packets’ outage rate and improve SU packets’ throughput rate.

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