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Performance analysis of time diversity combining with frequency offset for cellular IoT.

, , , and . ISWCS, page 60-65. IEEE, (2017)

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Neural Belief Propagation Auto-Encoder for Linear Block Code Design., , , , and . IEEE Trans. Commun., 70 (11): 7250-7264 (2022)Performance analysis of time diversity combining with frequency offset for cellular IoT., , , and . ISWCS, page 60-65. IEEE, (2017)A 5G New Radio for Balanced and Mixed IoT Use Cases: Challenges and Key Enablers in FR1 Band., , , , and . IEEE Commun. Mag., 59 (4): 82-87 (2021)Low-Complexity Neural Networks for Baseband Signal Processing., , , , , , and . GLOBECOM (Workshops), page 1-6. IEEE, (2020)5G NR-Light at Millimeter Waves: Design Guidelines for Mid-Market IoT Use Cases., , , , , and . ICNC, page 652-658. IEEE, (2023)Blind Neural Belief Propagation Decoder for Linear Block Codes., , , , , and . EuCNC/6G Summit, page 106-111. IEEE, (2021)Can 5G NR-Light Operate at Millimeter Waves? Design Guidelines for Mid-Market IoT Use Cases., , , , , and . CoRR, (2021)Time diversity in multipath channels for cellular IoT: Theoretical and simulation analysis., , , and . WiMob, page 90-97. IEEE Computer Society, (2017)Minimizing Energy Consumption for 5G NR Beam Management for RedCap Devices., , , , , and . GLOBECOM, page 7091-7096. IEEE, (2023)