Novel design of sensing and transmission duration in cognitive radios for energy efficiency

Moorthy, Yamuna K.; Pillai, Sakuntala S.

doi:10.1109/wispnet.2017.8299730

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…Several works contribute to the formulation of EE problem. [11]- [16] and investigate the sensing-EE tradeoff problem. The sensing and transmission durations are adapted to the optimum while guaranteeing PU's detection at the same time.…”

Section: Definitions Of Energy Efficiency (Ee) Optimizationmentioning

confidence: 99%

A Survey of EE Optimization Methods for Primary and Secondary Users in Cognitive Radio Networks

Tian¹,

Esseghir²,

Khoukhi³

2019

NPA

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A large scale of spectrum sensing techniques are proposed to improve the use of spectrum resources. However, the EE (energy efficiency) should be guaranteed for both primary and secondary users, especially under various detection performance constraints. In this regard, the linking between activities of PU (primary user) and dynamic access behaviors of SUs (secondary users) should be considered in an integrated way. This survey has compared different existing scenarios and frameworks on EE optimizations. The principal objective is to enhance the system throughput and to coordinate on the physical layer of both PU and SUs, in order to enable a high-quality spectrum detection and a more efficient spectrum access. In the technical part, several optimization methods are introduced under PU’s constraints, and different methods based on game theory are applied to suitable cooperative sensing scenarios for SUs’ optimal access. Finally, the complexity of algorithms is compared, to further reduce the execution time and deploy real-time adaptation for users with lower delay.

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Section: Definitions Of Energy Efficiency (Ee) Optimizationmentioning

confidence: 99%

A Survey of EE Optimization Methods for Primary and Secondary Users in Cognitive Radio Networks

Tian¹,

Esseghir²,

Khoukhi³

2019

NPA

View full text Add to dashboard Cite

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“…The sensing technique, however, requires high detection performance [1][2][3] and good coordination between the PU and SUs [3,4]. Besides, the energy efficiency (EE) of cognitive radio networks (CRNs) has attracted a great deal of research attention recently, especially in the context of the tradeoff of sensing and the transmission time ratio [5][6][7][8][9][10][11][12][13][14][15][16]. Since the PU and SUs share the same spectrum band, the analysis of their transmission powers becomes a critical issue in CRNs.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Primary User Power Impact for Joint Optimization of Energy Efficiency in Cognitive Radio Networks

et al. 2021

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Energy efficiency (EE) is of great concern in cognitive radio networks since the throughput and energy consumption of secondary users (SUs) vary with the sensing time. However, the conditions of the detection probability and false alarm probability should be respected to better protect primary users (PUs) and to improve the sensing performance of SUs. Additionally, the PUs’ minimum averaged power provision should also be regarded as a key problem of interactive linking to SUs. Therefore, an integrated design between the PU and SUs is desired for the coordination of the whole cognitive radio system, especially regarding the satisfaction of EE and performance metrics. This study formulates sensing constraints in a unified way and calculates the minimum SNR of SUs, based on which the essential PU power provision is computed. Furthermore, EE is proved as a decreasing function with the PU’s active ratio, where the maximum EE is obtained corresponding to the minimum QoS requirements of the sensing process. Hence, a bisection-based method is proposed to maximize EE, which is considered as a concave function of SUs’ sensing time and has only one unique optimum. EE’s optimization was analyzed under different fusion rules for diverse SNR conditions. The optimum was also studied with sensing performance targets for various cases of PU power provision.

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Spectrum Sensing and SINR Estimation in IEEE 802.11s Cognitive Radio Ad Hoc Networks With Heterogeneous Interference

Zlobinsky,

Mishra,

Lysko

2024

IEEE Trans. Wireless Commun.

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Novel design of sensing and transmission duration in cognitive radios for energy efficiency

Cited by 3 publications

References 13 publications

A Survey of EE Optimization Methods for Primary and Secondary Users in Cognitive Radio Networks

A Survey of EE Optimization Methods for Primary and Secondary Users in Cognitive Radio Networks

Evaluation of Primary User Power Impact for Joint Optimization of Energy Efficiency in Cognitive Radio Networks

Spectrum Sensing and SINR Estimation in IEEE 802.11s Cognitive Radio Ad Hoc Networks With Heterogeneous Interference

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