A novel channel handover strategy to improve the throughput in cognitive radio networks

Kahraman, Beycan; Buzluca, Feza

doi:10.1109/iwcmc.2011.5982515

Cited by 8 publications

(3 citation statements)

References 26 publications

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“…In [7], a generalized reactive SHO scheme is proposed in which an SU chooses to stay on its current channel or initiate a search procedure to find a new free channel based on expected PU's load. Minimizing the average number of handovers through the concept of underlay transmission is investigated in [8].…”

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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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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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“…A more general method able to classify traffic patterns and select the prediction method based on this information is proposed in [5]. Switching delay has been included in the channel selection to decide whether to switch a channel or not based on channel prediction and switching overhead in [6]. The method is developed further in [7] where an adaptive sensing policy is developed to detect the primary user appearance as fast as possible.…”

Section: Introductionmentioning

confidence: 99%

Predictive channel selection: Practical implementation and a social-aware vision for spectrum use

Höyhtyä¹,

Korpi²,

Hiivala³

2017

EAI Endorsed Transactions on Cognitive Communications

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This paper demonstrates a predictive channel selection method by implementing it in software-defined radio (SDR) platforms and measuring the performance using over-the-air video transmissions. The method uses both long term and short term history information in selecting the best channel for data transmission. Controlled interference is generated in the used channels and the proposed method is compared to reference methods. The achieved results show that the predictive method is a practical one, able to increase the throughput and reduce number of collisions and channel switches by using history information intelligently. The method is developed further and a cellular assisted social-aware method that enables efficient use of D2D links is defined in the end of this paper.

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“…To the best of our knowledge, there is no general CHS that can tolerate some UAs to decrease the frequency of handovers and increase total utilization. In the initial stages of our study, we realized that tolerating some of the UAs in the channel could improve the performance of a CR network and presented this preliminary work in . In this paper, we emphasized the high cost of a real‐world CHP and proposed a linear model to reduce the delay CHP introduces.…”

Section: Introductionmentioning

confidence: 99%

An efficient and adaptive channel handover procedure for cognitive radio networks

Kahraman

Buzluca

2013

Wirel. Commun. Mob. Comput.

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In designing cognitive radio systems, one of the most critical issues is handling the channel handover process (CHP). The CHP consists of spectrum sensing, spectrum decision, negotiation on the common control channel, and adjustment of frequency and modulation settings, and such, it can be a time-consuming process. Consequently, initiating the CHP after each detected user activity (UA) can decrease the aggregate spectrum utilization. To alleviate this problem, we introduce a novel handover strategy to find the optimal trade-off between the durations of the CHP and UAs. With the use this model, secondary users (SUs) track only local information on their current data channel to make the decision to initiate the CHP or to wait for the termination of the ongoing UA. The system adapts to the dynamic conditions of the data channels and reduces the frequency of handovers to increase throughput and decrease access delay. We give analytical utilization bounds for SUs and also compare the performance of our model to those of other channel handover strategies by using extensive simulations. Our results for channels with heterogeneous loads and dynamic environments show that this model can clearly decrease the frequency of handover and consequently increase the aggregate SU utilization.

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A novel channel handover strategy to improve the throughput in cognitive radio networks

Cited by 8 publications

References 26 publications

Distributed Multiuser Sequential Channel Sensing Schemes in Multichannel Cognitive Radio Networks

Distributed Multiuser Sequential Channel Sensing Schemes in Multichannel Cognitive Radio Networks

Predictive channel selection: Practical implementation and a social-aware vision for spectrum use

An efficient and adaptive channel handover procedure for cognitive radio networks

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