Koteeshwari R S, Malarkodi B
Department of Electronics and Communication Engineering, National Institute of Technology, Trichy, 620 015, India.
Department of Electronics and Communication Engineering, EGS Pillay Engineering College, Nagapattinam, 611002, India.
Heliyon. 2022 Jun 1;8(6):e09621. doi: 10.1016/j.heliyon.2022.e09621. eCollection 2022 Jun.
In recent years, the importance of Artificial Intelligence is inevitable for effective performance in communication area. The progressing in standards from beyond 5G networks are compatible gadgets for incorporate wireless communication. Cognitive radio (CR) is a sensible and advanced scientific communication that can effectively handle the radio spectrum applications. Spectrum sensing (SR) is the primary role in CR. In SR, various Wide Band techniques suited for 5G were investigated in this paper. (Least Absolute Shrinkage and Selection Operator) LASSO is the suitable choice for communication in compressive sensing and recovery in wideband 5G networks. The obtained results were correlated with recent report. Further, the relative merit and demerits are discussed significantly.
近年来，人工智能对于通信领域的高效运行至关重要。5G网络之外的标准进展为集成无线通信提供了兼容设备。认知无线电（CR）是一种智能且先进的科学通信方式，能够有效处理无线电频谱应用。频谱感知（SR）是CR的主要功能。在频谱感知方面，本文研究了适用于5G的各种宽带技术。（最小绝对收缩和选择算子）LASSO是宽带5G网络中压缩感知和恢复通信的合适选择。所获结果与近期报告相关。此外，还对相对优缺点进行了深入讨论。
