Comparative error rate analysis of cooperative spectrum sensing in non-fading and fading environments

Bachan, P.; Ghosh, Samit Kumar; Saraswat, Shelesh Krishna

doi:10.1109/ccintels.2015.7437891

Cited by 8 publications

(5 citation statements)

References 7 publications

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“…Secondly, we focus on classifying the cluster of game theory approaches which has been widely applied to solve the resource allocation problem in CSS. According to our studies, the common game approaches might include: evolutionary game [65]- [69], [71], [78]- [80], auction game [81]- [83], coalition game [61], [76]- [77], [84]- [90], bargaining game [91]- [93], Stackelberg Game [94]- [95], snowdrift Game [96], non-cooperative Game [97], etc. ISSN 1943-3581 2019 As an important game model of spectrum sensing, the evolutionary game proposes to observe the rules or the histories of precedent game results, and to adapt them gradually into replicator dynamics until an equilibrium is found.…”

Section: Typical Su-oriented Methods and Game Theory Applicationsmentioning

confidence: 99%

“…Sensing Scheduling [8], [61], [65] EE / Throughput [66]- [68] Faireness [65] Channel Assignments [2], [21], [60] Error rate [69], [70] As presented in Table 4, existing contributions mainly focus on the expected throughput under a given fusion rule, or the sensing and accessing time distribution depended on the scheduling scheme (e.g., [60]). These contributions incent SUs to become contributors by setting reward functions, either to attract high-SNR SUs by allocating different sensing priorities [68], or to allocate more accessing possibilities to the channels in better condition [61], [71].…”

Section: Technical Points Reference Examplesmentioning

confidence: 99%

“…As a result, the SUs who have detected more accessing opportunities on their channels should contribute more to the cooperative sensing process. The authors in [69] investigate the total error rate in different channels and observe the optimized number of SUs for reaching an adequate sensing performance.…”

Section: Technical Points Reference Examplesmentioning

confidence: 99%

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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: Typical Su-oriented Methods and Game Theory Applicationsmentioning

confidence: 99%

Section: Technical Points Reference Examplesmentioning

confidence: 99%

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

Tian¹,

Esseghir²,

Khoukhi³

2019

NPA

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“…CSS could overcome fading and shadow in wireless channels. There are two basic structures of CSS, centralised and distributed [13,14]. In CSS, SUs sense the spectrum separately and transmit their local decisions to a fusion centre (FC).…”

Section: Introductionmentioning

confidence: 99%

Improvement of spectrum sensing performance in cognitive radio using modified hybrid sensing method

Abed

Abdullah

2022

Acta Polytech

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Cognitive radio (CR) is a wireless technology for increasing the bandwidth usage. Spectrum sensing (SS) is the first step in CR. There are three basic techniques in SS, energy detection (ED), matched filter (MF), and cyclostationary detection (CFD). These techniques have many challenges in performance detection (Pd) and computational complexity (CC). In this paper, we propose a hybrid sensing method that consists of MF and CFD to exploit their merits and overcome their challenges. The proposed method aims to improve Pd and reduce CC. When MF hasn’t had enough information about PU, it switches to CFD with a reduction of CC in both MF and CFD. The proposed method is simulated under fading with cooperative and non-cooperative scenarios, measured using Pd and CC ratio Cratio, and evaluated by comparing it with traditional and hybrid methods in the literature. The simulation results show that the proposed method outperforms other methods in Pd and Cratio. For example, at Eb/No equal to 0 dB under the Rayleigh fading channel, the Pd in the proposed method increased by 38 %, 28 %, 28 %, and 18 % as compared with the modified hybrid method, traditional hybrid method, traditional CFD method, and traditional MF method in the literature, respectively.

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“…The RF signal in analog precoding is used for energy-harvesting purposes [22][23][24][25][26]. The concept of cognitive radio can be used for the detection of primary users to improve the energy efficiency [27].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Precoder Using Stiefel Manifold Optimization for Mm-Wave Massive MIMO System

et al. 2022

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Due to the increasing demand for fast data rates and large spectra, millimeter-wave technology plays a vital role in the advancement of 5G communication. The idea behind Mm-Wave communications is to take advantage of the huge and unexploited bandwidth to cope with future multigigabit-per-second mobile data rates, imaging, and multimedia applications. In Mm-Wave systems, digital precoding provides optimal performance at the cost of complexity and power consumption. Therefore, hybrid precoding, i.e., analog–digital precoding, has received significant consideration as a favorable alternative to digital precoding. The conventional methods related to hybrid precoding suffer from low spectral efficiency and large processing time due to nested loops and the number of iterations. A manifold optimization-based algorithm using the gradient method is proposed to increase the spectral efficiency to be near optimal and to speed up the processing speed. A comparison of performances is shown using the simulation outcomes of the proposed work and those of the existing techniques.

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Comparative error rate analysis of cooperative spectrum sensing in non-fading and fading environments

Cited by 8 publications

References 7 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

Improvement of spectrum sensing performance in cognitive radio using modified hybrid sensing method

Hybrid Precoder Using Stiefel Manifold Optimization for Mm-Wave Massive MIMO System

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