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Information Theory
Finite blocklength analysis of energy harvesting channels
K. G. Shenoy, V. Sharma Electrical Communications Engineering Dept., Indian Institute of Science, Bangalore, India
Abstract:
We consider additive white Gaussian noise channels and discrete memoryless channels where the transmitter harvests energy from the environment. These can model wireless sensor networks as well as Internet of Things. By providing a unifying framework that works for any energy harvesting channel, we study these channels assuming an infinite energy buffer and provide the corresponding achievability and converse bounds on the channel capacity in the finite blocklength regime. We additionally provide moderate deviation asymptotic bounds.
Keywords:
achievable rates, converse, channel capacity, finite blocklength, EH-AWGN, EH-DMC, moderate deviations.
Received: 22.02.2019 Revised: 08.10.2020 Accepted: 15.12.2020
Citation:
K. G. Shenoy, V. Sharma, “Finite blocklength analysis of energy harvesting channels”, Probl. Peredachi Inf., 57:1 (2021), 3–39; Problems Inform. Transmission, 57:1 (2021), 1–32
Linking options:
https://www.mathnet.ru/eng/ppi2333 https://www.mathnet.ru/eng/ppi/v57/i1/p3
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Abstract page: | 117 | Full-text PDF : | 14 | References: | 17 | First page: | 10 |
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