Cooperative spectrum sensing with square law combining diversity reception

Ranjeeth, M.

doi:10.1109/icscn.2015.7219876

Cited by 12 publications

(16 citation statements)

References 9 publications

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“…The distributions of multivariate correlated Nakagami-m was covered in [17]. Moreover, for SLC diversity with the assumption of i.i.d branches over Rayleigh, Rician, and Nakagami fading channels and expressions for the average detection probability were derived in [18]. Multiple antenna sensing for static users in correlated Nakagami-m fading is studied in [19].…”

Section: Literature Reviewmentioning

confidence: 99%

On the energy detection performance of multi‐antenna correlated receiver for vehicular communication using MGF approach

et al. 2020

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Section: Literature Reviewmentioning

confidence: 99%

On the energy detection performance of multi‐antenna correlated receiver for vehicular communication using MGF approach

et al. 2020

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“…The performance analysis of the ED method using receiver operating characteristic (ROC) curves for various fading channels is detailed in [39][40][41][42]. In [39], the SLC diversity reception, also known as the soft decision fusion scheme, was evaluated with a focus on the Additive White Gaussian Noise (AWGN), Rayleigh, Rician, Nakagami, Weibull, and Hoyt fading channels.…”

Section: Related Work On the Spectrum Sensing Of Ofdm Signals Based On The Ed Methodsmentioning

confidence: 99%

Performance Analyses of Energy Detection Based on Square-Law Combining in MIMO-OFDM Cognitive Radio Networks

Lörincz

Ramljak²,

Begušić

2021

Sensors

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Cognitive radio (CR) technology has the potential to detect and share the unutilized spectrum by enabling dynamic spectrum access. To detect the primary users’ (PUs) activity, energy detection (ED) is widely exploited due to its applicability when it comes to sensing a large range of PU signals, low computation complexity, and implementation costs. As orthogonal frequency-division multiplexing (OFDM) transmission has been proven to have a high resistance to interference, the ED of OFDM signals has become an important local spectrum-sensing (SS) concept in cognitive radio networks (CRNs). In combination with multiple-input multiple-output (MIMO) transmissions, MIMO-OFDM-based transmissions have started to become a widely accepted air interface, which ensures a significant improvement in spectral efficiency. Taking into account the future massive implementation of MIMO-OFDM systems in the fifth and sixth generation of mobile networks, this work introduces a mathematical formulation of expressions that enable the analysis of ED performance based on the square-law combining (SLC) method in MIMO-OFDM systems. The analysis of the ED performance was done through simulations performed using the developed algorithms that enable the performance analysis of the ED process based on the SLC in the MIMO-OFDM systems having a different number of transmit (Tx) and receive (Rx) communication branches. The impact of the distinct factors including the PU Tx power, the false alarm probability, the number of Tx and Rx MIMO branches, the number of samples in the ED process, and the different modulation techniques on the ED performance in environments with different levels of signal-to-noise ratios are presented. A comprehensive analysis of the obtained results indicated how the appropriate selection of the analyzed factors can be used to enhance the ED performance of MIMO-OFDM-based CRNs.

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“…The initial mathematical formulation of the main parameters (such as the detection and false alarm probability) defines the efficiency of the ED process based on the SL techniques in MISO systems in the work [ 22 ]. The analysis of the ED method through receiver operating characteristic (ROC) curves indicating the signal detection probability of the energy detector with respect to false alarm probability variation has been presented in [ 20 , 22 , 23 , 24 , 25 ]. The ED SS for the different fading channels has been shown in [ 20 ].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Although previous research presented in [ 10 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 ] considers the ED process in MIMO transmission systems, an algorithm that enables the simulation analysis of the ED performance in MIMO-OFDM systems based on the SLC method is still missing. According to our knowledge, this is the first paper that deals with an algorithm which enables such analyses through ROC curves developed for the different operating parameters of the analyzed MIMO-OFDM systems.…”

Section: Literature Reviewmentioning

confidence: 99%

Algorithm for Evaluating Energy Detection Spectrum Sensing Performance of Cognitive Radio MIMO-OFDM Systems

Lörincz

Ramljak

Begušić

2021

Sensors

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Cognitive radio technology enables spectrum sensing (SS), which allows the secondary user (SU) to access vacant frequency bands in the periods when the primary user (PU) is not active. Due to its minute implementation complexity, the SS approach based on energy detection (ED) of the PU signal has been analyzed in this paper. Analyses were performed for detecting PU signals by the SU in communication systems exploiting multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) transmission technology. To perform the analyses, a new algorithm for simulating the ED process based on a square-law combining (SLC) technique was developed. The main contribution of the proposed algorithm is enabling comprehensive simulation analyses of ED performance based on the SLC method for versatile combinations of operating parameter characteristics for different working environments of MIMO-OFDM systems. The influence of a false alarm on the detection probability of PU signals impacted by operating parameters such as the signal-to-noise ratios, the number of samples, the PU transmit powers, the modulation types and the number of the PU transmit and SU receive branches of the MIMO-OFDM systems have been analyzed in the paper. Simulation analyses are performed by running the proposed algorithm, which enables precise selection of and variation in the operating parameters, the level of noise uncertainty and the detection threshold in different simulation scenarios. The presented analysis of the obtained simulation results indicates how the considered operating parameters impact the ED efficiency of symmetric and asymmetric MIMO-OFDM systems.

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Cooperative spectrum sensing with square law combining diversity reception

Cited by 12 publications

References 9 publications

On the energy detection performance of multi‐antenna correlated receiver for vehicular communication using MGF approach

On the energy detection performance of multi‐antenna correlated receiver for vehicular communication using MGF approach

Performance Analyses of Energy Detection Based on Square-Law Combining in MIMO-OFDM Cognitive Radio Networks

Algorithm for Evaluating Energy Detection Spectrum Sensing Performance of Cognitive Radio MIMO-OFDM Systems

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