Optimization of cooperative spectrum sensing based on improved energy detector with selection diversity in AWGN and Rayleigh fading

Ranjeeth, M.; Behera, Sipra; Nallagonda, Srinivas; Anuradha, S.

doi:10.1109/iceeot.2016.7755124

Cited by 12 publications

(10 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, detection statistics in [7] were derived based on one sample of the signal. Antenna selection diversity was studied in [8] for cooperative spectrum sensing network over additive white Gaussian noise (AWGN) and Rayleigh environments, where detection statistics was also based on one signal sample as in the previous work. Moreover, optimization analysis was performed for an optimum number of normalized SUs and threshold values.…”

Section: A Technical Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Performance Analysis of Improved Energy Detector With Hardware Impairments for Accurate Spectrum Sensing

2019

View full text Add to dashboard Cite

The impact of transceiver hardware impairments on the accuracy of spectrum sensing cannot be ignored in low-cost and high data rate cognitive radio systems. Nevertheless, ideal hardware for spectrum sensing is widely assumed in the technical literature. This paper presents a novel method for evaluating the improved energy detector (IED) statistics using α-µ distribution over additive white Gaussian noise (AWGN) and Nakagami-m fading channel by considering transceiver hardware imperfections. Moreover, the performance of the IED over AWGN channel is highlighted by the area under the receiver operating curve. Furthermore, the average probability of detection is evaluated for both fading and non-fading environments. An asymptotic analysis studies detection probability over fading channels at a low average signal-to-noiseratio region. Moreover, p-order law combining and p-order law selecting diversity techniques are proposed to increase the performance of the detector. Our simulation results demonstrate that the diversity techniques significantly improve the detector performance. INDEX TERMS Area under the ROC curve (AUC), α-µ distribution, false alarm probability, improved energy detector, Nakagami-m fading channel, probability of detection, receiver operating characteristic (ROC) curve, transceiver hardware impairments.

show abstract

Section: A Technical Literature Reviewmentioning

confidence: 99%

“…Inspired by [3, eqs. (7) and (8)], the conditional probability density functions (PDFs) of the Y i under H 0 and H 1 hypotheses are represented by f Y i |H 0 (x) and f Y i |H 1 (x), respectively, and given as…”

Section: Improved Energy Detectormentioning

confidence: 99%

Performance Analysis of Improved Energy Detector With Hardware Impairments for Accurate Spectrum Sensing

2019

View full text Add to dashboard Cite

show abstract

“…In , the optimized performance of CSS network is evaluated by considering an imperfectness in reporting channel (R‐channel). Finally, detection performance is greatly improved by using multiple antennas and an IED scheme at each CR in CSS network is discussed in and , and performance is clearly analyzed under various fading environments in previous studies . With the help of above addressed papers, we have evaluated the optimized performance of the proposed CSS network under various fading environments.…”

Section: Introductionmentioning

confidence: 99%

Optimized cooperative spectrum sensing network analysis in nonfading and fading environments

Ranjeeth

Anuradha

Nallagonda³

2020

Int J Communication

Self Cite

View full text Add to dashboard Cite

Summary The proposed cooperative spectrum sensing (CSS) network is equipped with multiple antennas and an improved energy detector (IED) scheme at each cognitive radio (CR). Each CR in the network receives the information about the primary user (PU) in the form of binary decisions at multiple antennas. Diversity technique called selection combining (SC) scheme is used at multiple antennas to select the maximum value of sensing information present at multiple antennas. Finally, sensing information will be passed to the fusion center (FC) through reporting channel, and the final decision about PU is made at FC using fusion rules. Initially, we have derived the novel missed detection probability expressions for AWGN channel, Rayleigh, and Rician fading environments. Later, the closed form of optimized expressions for proposed CSS network parameters are derived to achieve an optimal performance. The closed form of optimized expressions such as number of CR users (Nopt), normalize threshold value (λn,opt), and an arbitrary power of the received signal (popt) are derived under various fading environments. The performance is evaluated using complementary receiver operating characteristics (CROC) and total error rate curves. The MATLAB‐based simulations are evaluated with the strong support of theoretical expressions. Finally, various simulation parameters such as sensing channel SNR, the error rate in reporting channel, threshold value, and number of antennas at each CR are considered in the simulation to show the effect on the performance of proposed CSS network.

show abstract

“…However, in [15], detection performance based on optimal parameters is not studied. An improved ED‐based optimised CSS is investigated in [16] over AWGN and Rayleigh fading channel. In [17], ED‐based CR sensing is proposed over Nakagami fading and maximum ratio combining (MRC) diversity reception.…”

Section: Introductionmentioning

confidence: 99%

Cluster‐based distributed cooperative spectrum sensing over Nakagami fading using diversity reception

Sharma

2019

IET Networks

View full text Add to dashboard Cite

Cooperative spectrum sensing (CSS) can solve the problem of hidden terminal in cognitive radio (CR). CSS can be employed in two ways distributed and centralised. In wireless networking, clustering can provide network scalability, better resource allocation, and energy efficiency. Here, cluster-based distributed CSS is investigated over Nakagami channel. In the proposed scheme, four fusion policies OR-OR, OR-AND, AND-OR, and AND-AND are investigated. An analytical framework has been presented to evaluate different parameters related to spectrum sensing, i.e. detection probability, false alarm probability, and missed detection probability for Nakagami fading channel. On the basis of the developed framework, the performance of cluster-based distributed CSS has been compared with the centralised CSS. Results show that OR-OR fusion rule of the cluster-based distributed CSS outperforms other fusion rules and centralised CSS. To achieve 80% probability of detection, SNR required is <10 dB in OR-OR fusion, whereas it is >10 dB for other fusion schemes. Further performance improvement is achieved by using square law selection and maximum ratio combining diversity schemes.

show abstract

Optimization of cooperative spectrum sensing based on improved energy detector with selection diversity in AWGN and Rayleigh fading

Cited by 12 publications

References 9 publications

Performance Analysis of Improved Energy Detector With Hardware Impairments for Accurate Spectrum Sensing

Performance Analysis of Improved Energy Detector With Hardware Impairments for Accurate Spectrum Sensing

Optimized cooperative spectrum sensing network analysis in nonfading and fading environments

Cluster‐based distributed cooperative spectrum sensing over Nakagami fading using diversity reception

Contact Info

Product

Resources

About