Optimal channel sensing maximising sum rate in cognitive radio with multiple secondary links

Yu, Heejung

doi:10.1002/ett.2725

Cited by 10 publications

(9 citation statements)

References 13 publications

(17 reference statements)

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“…Only when the PU's absence is decided by the satellite can the SU transmit data in the PU's channel; otherwise, if the PU's presence is determined, the SU must transfer to another idle channel . In the traditional scheme, the SU can only sense the PU before transmission.…”

Section: Time‐based Cooperative Spectrum Sensingmentioning

confidence: 99%

Joint cooperative spectrum sensing and channel selection optimization for satellite communication systems based on cognitive radio

Jia

Liu

et al. 2015

Int. J. Satell. Commun. Network.

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SUMMARYCognitive radio has attracted considerable attention because of its ability to make full use of the available spectrum resources for wireless terrestrial communication networks. In addition, the satellite communication scenario, which requires a transparent air interface to integrated/hybrid Satellite-Terrestrial communication systems and provides a supplement for other multimedia services, will cause frequency scarcity. Satellite communication systems based on cognitive radio are available under scenarios that involve transmission with changing communications. In this paper, a cooperative spectrum-sensing algorithm based on a time or bandwidth-based cooperative spectrum-sensing model of an integrated/hybrid cooperative satellite communication system is proposed. Moreover, the concept of weighted cooperative spectrum sensing is introduced. Compared with the traditional singleuser spectrum-sensing algorithm, the cooperative spectrum sensing is able to cope with the interference to the primary user caused by a secondary user better. In addition, multiple earth stations that use some part of the bandwidth cooperatively to perform spectrum sensing throughout the whole frame can detect the presence of primary user in time. The satellite component combines the sensing results from earth stations to reach a final decision, and the optimal combination weights to maximize the detection probability of the secondary user are obtained. Numerical results that demonstrate the performance of the proposed algorithm are presented.

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Section: Time‐based Cooperative Spectrum Sensingmentioning

confidence: 99%

Joint cooperative spectrum sensing and channel selection optimization for satellite communication systems based on cognitive radio

Jia

Liu

et al. 2015

Int. J. Satell. Commun. Network.

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“…Multichannel CR based carrier sense medium access with collision avoidance (CR-CSMA/CA) protocol is given for the asynchronous and random access CRNs by the authors in [9]. Moreover, normalized throughput, average packet service time, average packet delay, and average queue length are also derived with respect to offered traffic load of SU network (SUN) and utilization rate for this protocol [10]. However, no significant work has been found with the combination of the fairness, complexity, and opportunity involved of CSMA based MAC for CRN.…”

Section: Introductionmentioning

confidence: 99%

Performance study of a CSMA based multiuser MAC protocol for cognitive radio networks: analysis of channel utilization and opportunity perspective

Chouhan

Trivedi

2015

Wireless Netw

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In the overlay medium access control (MAC) of cognitive radio networks, secondary user (SU) uses the spectrum portion which is assigned to primary user (PU), when PU is not using this spectrum at that time. In this article, a multiuser overlay MAC protocol is considered in which PUs and SUs are using time division multiple access and carrier sense multiple access (CSMA) MAC schemes, respectively. Firstly, new frame format and algorithm for the proposed MAC protocol are described, then the analytical modelling of this protocol is explained. In the SU network, Markov chain model along with the CSMA protocol is used for better utilization of the opportunity from the PU network (PUN). Channel utilization and probability of success are also derived and analyzed for this protocol with respect to idle time, collision (failure) time, various spectrum opportunities from PUN, number of SUs, and their fairness. This MAC scheme provides the optimal solution for channel utilization under a constraint on the probability of collisions. Numerical results are also provided to validate analysis of proposed MAC protocol and to investigate the performance behaviour of the optimal solution.

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“…a frequency band) is not used by PUs, it becomes available for use by SUs. The identification of spatiotemporally available channels (also known as spectrum holes) can be performed by spectrum sensing at physical layer . Furthermore, SUs are required to vacate the used channels when PUs return in and occupy the same channels, the so‐called protection mechanism for PUs.…”

Section: Introductionmentioning

confidence: 99%

On prioritised opportunistic spectrum access in cognitive radio cellular networks

Yao

Popescu

2014

Trans Emerging Tel Tech

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Cognitive radio (CR) networks allow secondary users (SUs) to opportunistically access licensed spectrum, thus providing efficient use of radio resources. Different studies carried out on CR networks have focused on the procedure of spectrum handoff of SUs such as the data transmission in a communication that can be carried out in different channels. In this paper, we consider cellular networks enhanced with facilities for CR communication where a user with a call in progress moves across neighbouring cells, that is, the so‐called inter‐cell handoff. Our model assumes that the cell gives priority to inter‐cell handoff calls over the calls originating within it. A finite queue is used in every cell for SUs, and a fixed number of buffer slots are reserved for the inter‐handoff SU calls. With these considerations, we study the transmission performance of SUs by using Markov chains‐based modelling approach. The numerical analysis is validated by simulation experiments. We also suggest a fuzzy logic‐based hybrid decision‐making algorithm to select the best solution for inter‐handoff prioritisation. The goal is to optimise the transmission performance of SUs by leveraging their requirements on service completion throughput and waiting time in each cell. Copyright © 2014 John Wiley & Sons, Ltd.

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Optimal channel sensing maximising sum rate in cognitive radio with multiple secondary links

Cited by 10 publications

References 13 publications

Joint cooperative spectrum sensing and channel selection optimization for satellite communication systems based on cognitive radio

Joint cooperative spectrum sensing and channel selection optimization for satellite communication systems based on cognitive radio

Performance study of a CSMA based multiuser MAC protocol for cognitive radio networks: analysis of channel utilization and opportunity perspective

On prioritised opportunistic spectrum access in cognitive radio cellular networks

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