Gannet optimization algorithm enabled framework for spectrum sensing in OFDM based CR network

The emergence of the fifth generation (5G) mobile communication network highly promoted the enhancement of broadband wireless communication. One of the famous physical transmission technologies in regard to wireless communication is orthogonal frequency division multiplexing (OFDM) and the requireme...

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Veröffentlicht in:Wireless networks Jg. 29; H. 6; S. 2863 - 2872
Hauptverfasser: Rao, D. Raghunatha, Prasad, T. Jayachandra, Prasad, M. N. Giri
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.08.2023
Springer Nature B.V
Schlagworte:
5G mobile communication
Algorithms
Bit error rate
Broadband
Cognitive radio
Communications Engineering
Computer Communication Networks
Electrical Engineering
Engineering
IT in Business
Matched filters
Networks
Optimization
Optimization algorithms
Original Paper
Orthogonal Frequency Division Multiplexing
Performance measurement
Statistical tests
Wireless communication systems
Wireless communications
Wireless networks
Metaheuristic optimization algorithms
Spectrum sensing
Cooperative spectrum sensing
Bit error rate
Orthogonal frequency division multiplexing
Gannet optimization algorithm
Cognitive radio
Mean square error
ISSN:1022-0038, 1572-8196
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Zusammenfassung:The emergence of the fifth generation (5G) mobile communication network highly promoted the enhancement of broadband wireless communication. One of the famous physical transmission technologies in regard to wireless communication is orthogonal frequency division multiplexing (OFDM) and the requirements of cognitive radio (CR) met by this OFDM. Spectrum sensing (SS) is a key enabling function in CR to improve utilization spectrum and eases the spectrum resources. Among more other modulation methods, OFDM is broadly utilized in various next generation and current wireless communications systems. This paper enables SS in OFDM based CR using proposed gannet optimization algorithm (GOA). Firstly, simulation is undergone and signal is received from OFDM based CR network. Here, generation of test statistics, such as signal energy, Eigen statistics, matched filter and wavelets done to ensure efficient CR communication without interference. Furthermore, fusion center undergoes fusion process, at which weights determined by proposed GOA and decision is finally processed. GOA diving patterns used for exploring the optimal region with in the search space and then enable exploitation phase to ensure better solution to compute weight vector. This research is evaluated by various performance metrics, such as mean square error and also bit error rate with values of 0.007 and 0.023, correspondingly for SNR of 20 dB with Nakagami fading channel.
Bibliographie:ObjectType-Article-1
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ISSN:1022-0038
1572-8196
DOI:10.1007/s11276-023-03351-3