Non-Asymptotic Achievable Rates for Energy-Harvesting Channels Using Save-And-Transmit

Silas L. Fong, Vincent Y.F. Tan, Jing Yang

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


This paper investigates the information-Theoretic limits of energy-harvesting (EH) channels in the finite blocklength regime. The EH process is characterized by a sequence of i.i.d. random variables with finite variances. We use the save-And-Transmit strategy proposed by Ozel and Ulukus (2012) together with Shannon's non-Asymptotic achievability bound to obtain lower bounds on the achievable rates for both additive white Gaussian noise channels and discrete memoryless channels under EH constraints. The first-order terms of the lower bounds of the achievable rates are equal to C and the second-order (backoff from capacity) terms are proportional to-√ Log n/n where n denotes the blocklength and C denotes the capacity of the EH channel which is the same as the capacity without the EH constraints. The constant of proportionality of the backoff term is found and qualitative interpretations are provided.

Original languageEnglish (US)
Article number7542530
Pages (from-to)3499-3511
Number of pages13
JournalIEEE Journal on Selected Areas in Communications
Issue number12
StatePublished - Dec 2016

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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