Energy efficiency of distributed signal processing in wireless networks: A cross-layer analysis

Giovanni Geraci, Matthias Wildemeersch, Tony Q.S. Quek

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

Abstract

In order to meet the growing mobile data demand, future wireless networks will be equipped with a multitude of access points (APs). Besides the important implications for the energy consumption, the trend towards densification requires the development of decentralized and sustainable radio resource management techniques. It is critically important to understand how the distribution of signal processing operations affects the energy efficiency of wireless networks. In this paper, we provide a cross-layer framework to evaluate and compare the energy efficiency of wireless networks under different levels of distribution of the signal processing load: 1) hybrid, where the signal processing operations are shared between nodes and APs; 2) centralized, where signal processing is entirely implemented at the APs; and 3) fully distributed, where all operations are performed by the nodes. We find that in practical wireless networks, hybrid signal processing exhibits a significant energy efficiency gain over both centralized and fully distributed approaches.

Original languageEnglish
Article number7307220
Pages (from-to)1034-1047
Number of pages14
JournalIEEE Transactions on Signal Processing
Volume64
Issue number4
DOIs
Publication statusPublished - 2016 Feb 15

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

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