Optimal Scheduling of Cooperative Spectrum Sensing in Cognitive Radio Networks

Zhang, Tengyi; Wu, Yuan; Lang, Ke; Tsang, D.H.K.

doi:10.1109/jsyst.2010.2083250

Cited by 34 publications

(19 citation statements)

References 20 publications

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“…Optimal sensing scheduling policy is proposed in [10] in which the authors develop an analytical framework to determine which secondary users should sense which channels with what miss detection and false alarm probabilities. In [11], while adopting a periodic channel sensing with memoryless transmission (PS-MT) policy, the problem of maximizing the SU's throughput under a tight collision constraint is inspected.…”

mentioning

confidence: 99%

Distributed Multiuser Sequential Channel Sensing Schemes in Multichannel Cognitive Radio Networks

Shokri‐Ghadikolaei

Sheikholeslami

Nasiri-Kenari

2013

IEEE Trans. Wireless Commun.

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Abstract-Effective spectrum sensing strategies enable cognitive radios (CRs) to identify and opportunistically transmit on under-utilized spectral resources. In this paper, sequential channel sensing problems for single and multiple secondary users (SUs) networks are effectively modeled through finite state Markovian processes. More specifically, a model for single user case is introduced and its performance is validated through analytical analysis. Then, in order to address multiple SUs case, this model is extended to include the modified p-persistent access (MPPA) protocol. Since the scheme utilized experiences a high level of collision among the SUs, to mitigate the problem appropriately, p-persistent random access (PPRA) protocol is considered, which offers higher average throughput for SUs by statistically distributing their loads among all channels. The structure and performance of the proposed schemes are discussed in detail, and a set of illustrative numerical results is presented to validate and compare the performance of the proposed senseaccess strategies.Index Terms-Cognitive radio, spectrum handover, sequential channel sensing, queuing networks, secondary user's throughput.

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mentioning

confidence: 99%

Distributed Multiuser Sequential Channel Sensing Schemes in Multichannel Cognitive Radio Networks

Shokri‐Ghadikolaei

Sheikholeslami

Nasiri-Kenari

2013

IEEE Trans. Wireless Commun.

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“…. MD I s t P P   (9) However, the reference [13] only considers to achieve the maximal probability of spectrum hole discovery by optimizing the detection threshold under a fixed sensing time condition, which may not be very truly to depict the capability of cognitive radio network. In this letter, we further improves the interference-aware sensing model, taking the throughput as the target value, and finally achieves the maximum throughput by jointly optimizing the sensing time and the detection threshold.…”

Section: Problem Formulationmentioning

confidence: 99%

Sensing-throughput tradeoff for interference-aware cognitive radio networks

Kan

Ding

Song

et al. 2012

Proceedings of 2012 2nd International Conference on Computer Science and Network Technology

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Nowadays cognitive radio networks (CRNs) have been proposed as a promising method to solve the problem of radio spectrum shortage and spectrum sensing has been known as a key step to enable the CRNs and utilize the precious spectrum resources. In order to protect primary users from being interfered, most of the related work has focused on the restriction of the probability of missed detection, however in practice, even under the missed detection cases, secondary users located far away from the primary users can also be interference-free to primary users. Motivated by this fact, in this letter we introduce an interference-aware spectrum sensing model and investigate the issue of sensing-throughput tradeoff in interference-aware cognitive radio networks. Specifically, in this letter we take the throughput as the objective of the cognitive radio network, and search for the maximum achievable throughput by jointly optimizing the sensing time and the detection threshold. Compared with the existing algorithms, the accompanying analytical and numerical analysis in this letter show that the proposed algorithm makes better utilization of the spectrum resources. Specially, the proposed algorithm can further improve the achievable throughput of the CRN by raising up to 0.653 bit/s/Hz within the distance of 500m to about 850m which is increased by 48% in average of the achievable throughput and up to 3.208 bit/s/Hz within the distance of 1600m to 2000m which is increased by 49.4% in average.

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“…This type of sensing limits the time during which the SUs can transmit, therefore reducing the system efficiency [20]. Extending the detector that only extracts a narrow-band spectrum, for wideband spectrum sensing, requires a tunable BPF at the radio frequency front end, which can be used to scan one band at a time [21].…”

Section: Introductionmentioning

confidence: 99%

Pattern-Search-Based Nonconvex Cooperative Sensing in Multiband Cognitive Radio Systems

Khwaja

Naeem

Anpalagan

2016

IEEE Systems Journal

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In this paper, a pattern search (PS)-based solution is proposed for nonconvex multiband cooperative sensing (NCMCS) problem in cognitive radio systems. This problem consists of maximizing cumulative throughput subject to constraints on cumulative interference, probability of detection, and probability of false alarm. Initially in existing literature, this problem was solved under constraints that make it convex. However, removing the conditions for convexity and solving the NCMCS problem have been shown to improve performance. A two-step PS-based solution is presented: The first step uses uniformly distributed random sets of input points to find a solution. The set of points that gives the maximum throughput is chosen as input to the PS algorithm. Numerical examples show the improvement of the proposed method over existing genetic-algorithm-based solution, as well as PS-algorithm-based solution that uses a single set of random points as inputs. The proposed two-step solution gives higher cumulative throughput and is not sensitive to the choice of input, unlike the PS-based solution using a single set of random points as input.

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Optimal Scheduling of Cooperative Spectrum Sensing in Cognitive Radio Networks

Cited by 34 publications

References 20 publications

Distributed Multiuser Sequential Channel Sensing Schemes in Multichannel Cognitive Radio Networks

Distributed Multiuser Sequential Channel Sensing Schemes in Multichannel Cognitive Radio Networks

Sensing-throughput tradeoff for interference-aware cognitive radio networks

Pattern-Search-Based Nonconvex Cooperative Sensing in Multiband Cognitive Radio Systems

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