Energy Efficiency of Distributed Signal Processing in Wireless Networks: A Cross-Layer Analysis

Geraci, G., Wildemeersch, M. ORCID:, & Quek, T. Q. S. (2016). Energy Efficiency of Distributed Signal Processing in Wireless Networks: A Cross-Layer Analysis. IEEE Transactions on Signal Processing 64 (4) 1034-1047. 10.1109/TSP.2015.2494865.

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In order to meet the growing mobile data demand, future wireless networks will be equipped with a mulitude 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.

Item Type: Article
Uncontrolled Keywords: Cross-layer design, energy efficiency, random topology, spectrum sensing, successive interference cancellation
Research Programs: Advanced Systems Analysis (ASA)
Ecosystems Services and Management (ESM)
Depositing User: Luke Kirwan
Date Deposited: 04 Mar 2016 08:04
Last Modified: 27 Aug 2021 17:26

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