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Signal statistics based multiple AP detection for smart spectrum sharing in LTE-U/Wi-Fi coexistence
(Institute of Electrical and Electronics Engineers Inc., 2021) Ahmed, Farwa; Arslan, Hüseyin
For existing IEEE 802.11ax and futurist Wi-Fi standards, one of the major challenges is fair coexistence with LTE-Unlicensed/5G-New Radio (LTE-U/5G-NR) and other internet of things (IoT) paradigms. An algorithm is developed for multiple Wi-Fi small cell networks, coexisting with the LTE-U network over the unlicensed band for smart spectrum sharing. An optimal detector is designed based on second-order statistics (SOS) of OFDM signals and using singular value decomposition (SVD) method. Furthermore, theoretical expressions are derived for the detection and the false alarm probabilities. For spectrum access and sharing, flexible carrier sensing adaptive transmission (CSAT) framework and algorithm are designed. Lastly, the simulation results show the distinction of the proposed approach over the conventional detectors.