Distributed MAC Protocol for Cognitive Radio Networks: Design, Analysis, and Optimization

Tan, Le Thanh; Le, Long Bao

doi:10.1109/tvt.2011.2165325

Cited by 40 publications

(36 citation statements)

References 29 publications

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“…To coordinate multiple SUs' access contention while restricting interference to PU, various contributions focused on MAC protocol design and abundant MAC protocols were proposed [9][10][11][12]. According to these protocols, when the channel is detected as busy, SUs' backoff counters stay frozen until next frame; otherwise, SUs' backoff counters are activated and switch into backoff procedure.…”

Section: Sus' Access Contentionmentioning

confidence: 99%

“…Indeed, several MAC protocols were proposed to coordinate multiple SUs' contention [9][10][11][12]. Based on the access strategies, these MAC protocols are classified into two categories: (i) large-scale-backoff-based MAC (LMAC) [9,10] and (ii) small-scale-backoff-based MAC (SMAC) [11,12]. According to LMAC, SUs decrease backoff counter by 1 every frame, while according to SMAC, SUs decrease backoff counter by 1 every physical slot.…”

Section: Introductionmentioning

confidence: 99%

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Cross‐layer aware joint design of sensing and frame durations in cognitive radio networks

Zhang

Hafid²,

Zhao

et al. 2016

IET Communications

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The tradeoff between increasing secondary users' (SUs') throughput and decreasing interferences to primary user (PU) is an important problem in cognitive radio networks. Joint design of sensing duration and frame duration has a crucial impact on both these two conflicting attributes but has not been studied yet. In this study, using a cross-layer approach, the authors investigate joint design of sensing duration and frame duration for the tradeoff. Specially, they consider that PU's traffic randomly changes within a secondary frame and multiple SUs contend to use the licensed channel based on widely used large/small-scale-backoff-based MAC protocols. By modelling more realistic PU's traffic, imperfect spectrum sensing in PHY and multiple SUs' access contention in MAC, the authors reformulate the sensing-throughput tradeoff problem to maximise SUs' throughput while restricting interference probability to PU under a tolerable level. Moreover, the optimal solution is analysed and a bi-dimensional search algorithm is presented. Simulation results show that the authors' proposal achieves better throughput performance than conventional approaches. They also show how the optimal solution varies with received PU's signal-to-noise ratio and PU's traffic distribution.

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Section: Sus' Access Contentionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cross‐layer aware joint design of sensing and frame durations in cognitive radio networks

Zhang

Hafid²,

Zhao

et al. 2016

IET Communications

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show abstract

“…These centralized reservation-oriented mechanisms provide capacity and delay guarantees but induce some overhead reducing network capacity and scalability. On the other hand, distributed mechanisms for MAC enhancement [7], [8] aim to improve QoS while preserving the robustness and flexibility.…”

Section: Introductionmentioning

confidence: 99%

Self-Organizing TDMA MAC Protocol for Effective Capacity Improvement in IEEE 802.11 WLANs

Khan

Derakhshani

Parsaeefard

et al. 2015

2015 IEEE Globecom Workshops (GC Wkshps)

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“…Extensive research work is being carried out to achieve higher spectrum utilization in CRN through formulation of appropriate Medium Access Control (MAC) protocols [7,8], handoff schemes [9], timing parameters [10,11], etc. However, the system capacity in all these works has a maximum upper bound as derived in [12].…”

Section: Introductionmentioning

confidence: 99%

Designing a Markov Model for the Analysis of 2-tier Cognitive Radio Network

Chakraborty¹,

Misra²

2013

IJACSA

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Abstract-Cognitive Radio Network (CRN) aims to reduce spectrum congestion by allowing secondary users to utilize idle spectrum bands in the absence of primary users. However, the overall user capacity and hence, the system throughput is bounded by the total number of available idle channels in the system. This paper aims to solve the problem of limited user capacity in basic CRN by proposing a 2-tier CRN that allows another tier (or layer) of secondary users to transmit, in addition to the already existing set of primary and secondary users in the system. Markov Models are designed step-wise to map the interaction between primary and secondary users in both tiers by including suitable traffic distribution models and system parameters. Spectrum handoff is also incorporated in the developed Markov Models. Performance analysis is carried out in terms of SU transmission, dropping, blocking and handoff probabilities along with mathematical formulation of the overall SU throughput in 2-tier CRN. It confirms better spectrum utilization in spectrum handoff enabled 2-tier CRN over basic CRN with enhancement in quality of service for secondary users in terms of reduced dropping and blocking probabilities.

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Distributed MAC Protocol for Cognitive Radio Networks: Design, Analysis, and Optimization

Cited by 40 publications

References 29 publications

Cross‐layer aware joint design of sensing and frame durations in cognitive radio networks

Cross‐layer aware joint design of sensing and frame durations in cognitive radio networks

Self-Organizing TDMA MAC Protocol for Effective Capacity Improvement in IEEE 802.11 WLANs

Designing a Markov Model for the Analysis of 2-tier Cognitive Radio Network

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