Optimization of cooperative spectrum sensing network with multiple antennas in Nakagami-m fading channel using improved energy detector

Nallagonda³

2020

Int J Communication

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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.

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“…Setting Equation (15) to zero and after some algebraic computation and using [11, eq 16], the expression for N opt is obtained as…”

Section: Calculation Of N Opt Expression For Various Fading Environmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimized cooperative spectrum sensing network analysis in nonfading and fading environments

Nallagonda³

2020

Int J Communication

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The effect of Weibull fading channel on cooperative spectrum sensing network using an improved energy detector

2017

Telecommun Syst

Network Utility Function Performance Analysis Using Cooperative Spectrum Sensing Network over Fading Channels

2017 14th IEEE India Council International Conference (INDICON)

2017