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Finite Blocklength Analysis of Energy Harvesting Channels.

, and . Probl. Inf. Transm., 57 (1): 1-32 (2021)

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Neural Network Architecture for LLR Computation in 5G Systems and Related Business Aspects., , , , , and . WPMC, page 1-6. IEEE, (2021)Finite blocklength achievable rates for energy harvesting AWGN channels with infinite buffer., and . ISIT, page 465-469. IEEE, (2016)A Framework for Exploiting Hard and Soft LLRs for Low Complexity Decoding in VRAN Systems., , , , , and . WCNC, page 1-6. IEEE, (2021)A Neural Network for Estimating CQI in 5G Communication Systems., and . WCNC Workshops, page 1-5. IEEE, (2020)Cognitive Relaying with Time Incentive: Protocol design for Multiple Primary Users., , , , and . PIMRC, page 577-582. IEEE, (2011)A Lower Bound on Channel Capacity of a Nonlinear Fiber Optic Channel with Memory., and . SPCOM, page 452-456. IEEE, (2018)Finite Blocklength Analysis of Energy Harvesting Channels., and . Probl. Inf. Transm., 57 (1): 1-32 (2021)On the Improved Memory Utilization in HARQ Pooling., , , and . SPCOM, page 1-5. IEEE, (2020)Deep Learning Architectures for Modeling Communication Systems., , , and . ANTS, page 1-5. IEEE, (2019)Refined Asymptotics for a Block Fading Channel Under Energy Harvesting and Fixed Power Constraints., , and . IEEE Trans. Wirel. Commun., 19 (4): 2558-2569 (2020)