Capacity of gaussian channels with energy harvesting and processing cost

Ramachandran Rajesh, Vinod Sharma, Pramod Viswanath

Research output: Contribution to journalArticle

Abstract

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
Volume60
Issue number5
DOIs
StatePublished - May 2014

Fingerprint

Energy harvesting
energy
Sensor nodes
costs
Processing
Costs
Energy management
Communication systems
Throughput
communication system
popularity
Communication
communication
ability
management

Keywords

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

ASJC Scopus subject areas

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

Cite this

Capacity of gaussian channels with energy harvesting and processing cost. / Rajesh, Ramachandran; Sharma, Vinod; Viswanath, Pramod.

In: IEEE Transactions on Information Theory, Vol. 60, No. 5, 6766774, 05.2014, p. 2563-2575.

Research output: Contribution to journalArticle

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