Comprehensive performance analysis of data-fusion aided cooperative cognitive radio network over η − μ fading channel

• Published in: IET communications Vol. 13; no. 16; pp. 2558 - 2566
• Main Authors: Nallagonda, Srinivas, Kumar, Godugu Kiran, Nallagonda, AshokKumar
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 08.10.2019
• Subjects: analytical performance; average error rate; channel parameters; cognitive radio; comprehensive performance analysis; computer‐based simulations; cooperative communication; CR network; CRU; data‐fusion aided cooperative cognitive radio network; efficient soft‐data combining schemes; fading channels; fusion centre; hard‐decision combining schemes; HDCSs; licensed primary user; mathematical expressions; optimal detection threshold; optimal sensing threshold; radio networks; radio spectrum; radio spectrum management; receiver operating characteristics; Research Article; SDCSs; sensing data fusion; sensing information; sensor fusion; η−μ fading channel; radio networks; receiver operating characteristics; PU; CRU; sensor fusion; sensing data fusion; HDCSs; fading channels; cognitive radio; optimal detection threshold; data-fusion aided cooperative cognitive radio network; average error rate; CR network; hard-decision combining schemes; mathematical expressions; sensing information; fusion centre; radio spectrum management; SDCSs; computer-based simulations; cooperative communication; channel parameters; efficient soft-data combining schemes; radio spectrum; analytical performance; licensed primary user; optimal sensing threshold; comprehensive performance analysis; η−μ fading channel
• ISSN: 1751-8628; 1751-8636
• DOI: 10.1049/iet-com.2019.0298

In this paper, analytical performance of efficient soft-data combining schemes (SDCSs) for cognitive radio network (CRN) is investigated. The performance is investigated in the presence of noise and generalized $\eta -\mu $η−μ fading. In more detail, each CRU senses the PU and reports its sensing information to the fusion center (FC). At FC, different SDCSs, which differ in process of fusing the sensing data, are implemented to make the global decision on the status of a PU. In the present work, first the novel mathematical expressions, subject to SDCS and $\eta -\mu $η−μ fading are derived. Next, the performance is evaluated through receiver operating characteristics (ROC) and average error rate (AER), considering the significant impact of network and channel parameters. The performance of hard-decision combining schemes (HDCSs) is also studied for comparison purpose. The analysis presented in this paper eliminates the need of analysis of SDCSs over individual fading channels. An optimal sensing threshold and an optimal number of CRUs where AER attains its minimum value are also determined for all HDCSs and SDCSs. Finally, the derived expressions are validated by computer based simulations for several parameter values of the network.