Performance Optimisation of Soft and Hard Spectrum Sensing Schemes in Cognitive Radio

Althunibat, Saud; Palacios, Raul; Granelli, Fabrizio

doi:10.1109/lcomm.2012.050912.112640

Cited by 42 publications

(36 citation statements)

References 10 publications

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Section: Wideband Spectrum Sensingmentioning

confidence: 99%

“…To address these issues, cooperative spectrum sensing, in which several nodes collaborate with each other to enhance the overall sensing performance, has been investigated in several works [120]- [123]. Authors in [123] have compared the performance of soft and hard schemes in which a cooperative node forwards multiple bits of the raw data, i.e., soft cooperative scheme, and a single bit related to the decision on spectrum availability, i.e., hard cooperative scheme, to the fusion center, respectively. By incorporating the reporting interval into the frame structure of a cooperative node and independently of the employed local sensing technique, it has been shown that the hard cooperative scheme provides better performance than the soft cooperative scheme for short sensing times and/or a large number of cooperative nodes.…”

Section: Wideband Spectrum Sensingmentioning

confidence: 99%

See 1 more Smart Citation

Application of Compressive Sensing in Cognitive Radio Communications: A Survey

Sharma

Lagunas

Chatzinotas

et al. 2016

IEEE Commun. Surv. Tutorials

197

106

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Abstract-Compressive Sensing (CS) has received much attention in several fields such as digital image processing, wireless channel estimation, radar imaging, and Cognitive Radio (CR) communications. Out of these areas, this survey paper focuses on the application of CS in CR communications. Due to the underutilization of the allocated radio spectrum, spectrum occupancy is usually sparse in different domains such as time, frequency and space. Such a sparse nature of the spectrum occupancy has inspired the application of CS in CR communications. In this regard, several researchers have already applied the CS theory in various settings considering the sparsity in different domains. In this direction, this survey paper provides a detailed review of the state of the art related to the application of CS in CR communications. Starting with the basic principles and the main features of CS, it provides a classification of the main usage areas based on the radio parameter to be acquired by a wideband CR. Subsequently, we review the existing CSrelated works applied to different categories such as wideband sensing, signal parameter estimation and Radio Environment Map (REM) construction, highlighting the main benefits and the related issues. Furthermore, we present a generalized framework for constructing the REM in compressive settings. Finally, we conclude this survey paper with some suggested open research challenges and future directions.

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Section: Wideband Spectrum Sensingmentioning

confidence: 99%

Section: Wideband Spectrum Sensingmentioning

confidence: 99%

Application of Compressive Sensing in Cognitive Radio Communications: A Survey

Sharma

Lagunas

Chatzinotas

et al. 2016

IEEE Commun. Surv. Tutorials

197

106

View full text Add to dashboard Cite

show abstract

“…Furthermore, [6] shows that the difference between hard and soft schemes is less than a fraction of a dB. However, in [7], a fair comparison shows that the hard scheme is better than the soft in most cases if we consider the reporting channel bandwidth. Motivated by these considerations, in this paper we consider the hard scheme.…”

Section: Introductionmentioning

confidence: 99%

On the Energy Consumption of the Decision-Fusion Rules in Cognitive Radio Networks

Althunibat

Narayanan

Renzo

et al. 2012

2012 IEEE 17th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)

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Cognitive radio has been proved to be an efficient solution for spectrum shortage and underutilization problems. However, energy consumption during spectrum sensing is a significant drawback of cognitive radio especially in energylimited systems. An important stage in spectrum sensing playing a role in increasing the energy consumption is the decision fusion at the fusion center. Many decision-fusion rules have been proposed such as Likelihood Ratio rule (LR), Maximum Ratio Combining rule (MRC) and Equal Gain Combining rule (EGC). A comparison among these rules is presented in this paper. The comparison is in terms of the consumed energy and the achievable detection probability at a given false alarm probability threshold, under a limited time assumption. Simulation results show that in critical conditions, such as short sensing time, low SNR, and large number of users, EGC has a better performance in both energy saving and detection probability.

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“…data and control channel uncertainty, noise uncertainty, no knowledge of PU activity etc. Many researchers narrate that cooperative spectrum sensing [5] can improve spectrum detection accuracy as compared to distributive spectrum sensing. In cooperative sensing, a This work was supported by the Second-Phase Brain Korea 21 Plus Project in 2015. cognitive base station (CBS) acts as a controller [6].…”

Section: Introductionmentioning

confidence: 99%

“…Thus, it is important to develop a methodology for accurate information being reported only from trusted (nonmalicious) CU, in order to increase the detection probability and decrease the false-alarm probability. The frame structure of a cooperative CRS studied in literature consists of a coordinating (sensing and reporting) time (T c ) slot and a data transmission time (T t ) slot [5]. Reference to the time frame structure, a CU request the CBS for transmission frequency at the beginning of each frame time T .…”

Section: Introductionmentioning

confidence: 99%

Threshold based reporting for improving sensing efficiency in cognitive radio systems with multiple cognitive users

Imtiaz

Kim

2015

2015 International Conference on Information and Communication Technology Convergence (ICTC)

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Cognitive Radio has a potential to improve spectrum efficiency for future wireless communication systems. However, the performance of such systems can be degraded by various factors e.g. imperfect sensing, non-accurate result reporting of the sensed spectrum either due to error-prone reporting channel (RC) or malicious user attack. Moreover the phenomena of reporting only from those cognitive users (CUs) whom RC is above a pre-defined threshold, can help in improving the throughput for the cognitive radio system (CRS). In this paper a detailed study of the aforementioned reporting mechanism with respect to sensing efficiency has been formulated to analyze the impact on CRS performance. Furthermore, to filter the inaccurate information which tends to increase the miss detection probability we propose an effective cooperative spectrum sensing (ECSS) algorithm via a two-level eligibility cooperating criteria. Simulation result shows the effectiveness of the proposed methodology.

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Performance Optimisation of Soft and Hard Spectrum Sensing Schemes in Cognitive Radio

Cited by 42 publications

References 10 publications

Application of Compressive Sensing in Cognitive Radio Communications: A Survey

Application of Compressive Sensing in Cognitive Radio Communications: A Survey

On the Energy Consumption of the Decision-Fusion Rules in Cognitive Radio Networks

Threshold based reporting for improving sensing efficiency in cognitive radio systems with multiple cognitive users

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