Capacity of gaussian channels with energy harvesting and processing cost

Ramachandran Rajesh, Vinod Sharma, Pramod Viswanath

Research output: Contribution to journalArticlepeer-review

63 Scopus citations


Energy harvesting sensor nodes are gaining popularity due to their ability to improve the network life time and are becoming a preferred choice supporting green communication. In this paper, we focus on communicating reliably over an additive white Gaussian noise channel using such an energy harvesting sensor node. An important part of this paper involves appropriate modeling of energy harvesting, as done via various practical architectures. Our main result is the characterization of the Shannon capacity of the communication system. The key technical challenge involves dealing with the dynamic (and stochastic) nature of the (quadratic) cost of the input to the channel. As a corollary, we find close connections between the capacity achieving energy management policies and the queueing theoretic throughput optimal policies.

Original languageEnglish (US)
Article number6766774
Pages (from-to)2563-2575
Number of pages13
JournalIEEE Transactions on Information Theory
Issue number5
StatePublished - May 2014
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences


  • Capacity
  • energy buffer
  • energy harvesting
  • fading channel
  • network life time
  • sensor networks


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