Optimized cooperative spectrum sensing network analysis in nonfading and fading environments

Abstract

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.

Spectrum sensing performance of wireless cognitive radio sensor network with hard‐decision fusion over generalizedα−μfading channels

“…Nallagonda et al 26 presented the studies only on a single CRS performance. Previous studies [14][15][16] discussed performance of CSS over individual fading models. However, in the present work, the following innovative and groundbreaking studies for multiple CRS-based ED-WCRSN are studied.…”

“…However, in the present work, the following innovative and groundbreaking studies for multiple CRS‐based ED‐WCRSN are studied. Also, the ED‐WCRSN performance under generalized fading model eliminates the need for performance over individual fading model study 14–16 Analytical generalized equation for the detection probability is derived for a single CRS over a noisy and fading environments 26 .…”

“…In Nallagonda et al, 14 a CR node's performance is evaluated, and several distinct fading models are investigated. Analysis of optimization of a CSS network in non‐fading and fading situations are covered in Ranjeeth et al 15 However, the performance is not examined when incorrect channel conditions are present. The CR network performance across erroneous control channels is explored in Banavathu and Khan 16 ; however, the only area of inquiry is Rayleigh fading.…”

Efficient Centralized Cooperative Spectrum Sensing Techniques for Cognitive Networks

“…In centralized CSS with data fusion that is measured the received signal samples; otherwise, derived quantities are communicated to a Fusion Center (FC) here, a test indicator is built and made the decision of global. Such a decision is noticed to the SUs that will participate for the band if it is empty, through means of several multiple access approaches [2]. This paper introduces the PRIDe for centralized data fusion CSS.…”

Analysis of energy‐efficient cooperative spectrum sensing with improved energy detectors and multiple antennas over Nakagami‐q/n fading channels

“…The analytic performance of CED‐based CR nodes in terms of energy efficiency is studied in Althunibat and Granelli 22 . The performance analysis of an average channel throughput for IED‐based CSS over non‐fading environment is investigated in Ranjeeth and Anuradha 23 and optimization analysis of CSS in non‐fading and fading environments is discussed in Ranjeeth et al 24 In Yadav et al, 25 throughput performance of CR networks under primary user emulation attack is investigated. In Nallagonda et al 18 and Nallagonda et al, 19 an IED‐based CSS network is used and performance is studied over Hoyt, Rayleigh and Rician channels only, throughput and energy‐efficiency performances are not investigated in Nallagonda et al 18 and Nallagonda et al 19 These literature papers are helped us to derive suitable theoretical work and to perform simulations with an IED‐based CSS systems over Nakagami‐ q (Hoyt) or Nakagami‐ n (Rician) fading channels.…”