Energy-efficient contention-aware channel selection in Cognitive Radio Ad-Hoc Networks

Mesοdiakaki, Agapi; Adelantado, Ferrán; Alonso, Luis; Verikoukis, Christos

doi:10.1109/camad.2012.6335376

Cited by 10 publications

(17 citation statements)

References 10 publications

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“…Therefore, the algorithm should be robust enough to overcome situations of overestimation and/or underestimation of p C . To that end, in [12] it is shown that the correct construction of the list is slightly impacted by p C estimation inaccuracy, since it depends more significantly on the comparison between the estimated values and not on the estimated values themselves.…”

Section: Channel Selection Algorithmmentioning

confidence: 99%

“…Preliminary simulation results were presented for the performance evaluation of the algorithm. In this paper, we substantially extend our work in [12] by providing the following contributions:…”

Section: Introductionmentioning

confidence: 98%

“…To that end, in our previous work [12], we proposed a channel selection algorithm that classifies the licensed channels without PU activity according to the number of SUs already operating on them and then selects the less contended one, assuming that all SUs are in saturated conditions. Preliminary simulation results were presented for the performance evaluation of the algorithm.…”

Section: Introductionmentioning

confidence: 99%

“…It is worth noting that this metric can be applied to various traffic patterns, thus relaxing the assumption of saturated conditions in [12]. • We provide an analytical model for the throughput and the energy efficiency of the SN under study.…”

Section: Introductionmentioning

confidence: 99%

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Performance Analysis of a Cognitive Radio Contention-Aware Channel Selection Algorithm

Mesοdiakaki

Adelantado

Alonso

et al. 2015

IEEE Trans. Veh. Technol.

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Abstract-In cognitive radio (CR) networks, due to the ever increasing traffic demands and the limited spectrum resources, it is very likely for several secondary networks (SNs) to coexist and opportunistically use the same primary user (PU) resources. In such scenarios, the ability to distinguish whether a licensed channel is occupied by a PU or by other SNs can significantly improve the spectrum efficiency of the network, while the contention among the SNs already operating on licensed channels with no PU activity, may further affect its throughput and energy efficiency. Therefore, the proper selection of licensed channels could result in notable performance gains. In this paper, we propose a novel contention-aware channel selection algorithm, where the SN under study: i) detects the licensed channels with no PU activity by exploiting cooperative spectrum sensing, ii) estimates the probability of collision in each one, and iii) selects the less contended to access. We provide a detailed analytical model for the throughput and the energy efficiency of the SN and we validate it by means of simulation. We also show the significant performance gains of our proposal in comparison with other relevant state-of-the-art algorithms.

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Section: Channel Selection Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Performance Analysis of a Cognitive Radio Contention-Aware Channel Selection Algorithm

Mesοdiakaki

Adelantado

Alonso

et al. 2015

IEEE Trans. Veh. Technol.

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“…However, most papers in the literature deal with scenarios where a single SN is considered, thus totally overlooking any SN coexistence issues. To that end, in [5], we proposed a channel selection algorithm in a scenario where an SN coexists with other non-cooperating SNs and opportunistically use the same PU resources according to a specific coexistence scheme. In such coexistence scenarios, it is very important to achieve fairness among the coexisting SNs, which implies equal transmission opportunities among their SUs.…”

Section: Introductionmentioning

confidence: 99%

Fairness evaluation of a secondary network coexistence scheme

Mesοdiakaki

Adelantado

Antonopoulos

et al. 2013

2013 IEEE 18th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)

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Due to the ever-increasing traffic demands and the fact that the spectrum resources are limited, it is very likely that several secondary networks (SNs) will coexist and opportunistically use the same primary user (PU) resources. In such coexistence scenarios, it is fundamental to guarantee fairness among the coexisting SNs. To that end, in this paper, we evaluate the performance of an SN coexistence scheme in terms of fairness and we show that it can achieve throughput and energy efficiency gains, while maintaining fairness among the coexisting SNs in comparison to other state-of-the-art approaches.

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Technical Approaches for Improved Spectrum Sharing

Velez

Matinmikko

2014

Signals and Communication Technology

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Energy-efficient contention-aware channel selection in Cognitive Radio Ad-Hoc Networks

Cited by 10 publications

References 10 publications

Performance Analysis of a Cognitive Radio Contention-Aware Channel Selection Algorithm

Performance Analysis of a Cognitive Radio Contention-Aware Channel Selection Algorithm

Fairness evaluation of a secondary network coexistence scheme

Technical Approaches for Improved Spectrum Sharing

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