Signal processing for the 5G revolution

Robert W. Heath; Geert Laus; Tony Q.S. Quek; Shilpa Talwar; Peiyang Zhou

doi:10.1109/MSP.2014.2345430

Signal processing for the 5G revolution

Robert W. Heath, Geert Laus, Tony Q.S. Quek, Shilpa Talwar, Peiyang Zhou

Department of Computer Science and Information Engineering

Research output: Contribution to journal › Review article › peer-review

7 Citations (Scopus)

Abstract

The articles in this special section provide an overview of recent advances in signal processing for communication with an emphasis on signal processing techniques that will be relevant for 5G cellular systems. It covers a wide range of topics including modulation, beamforming, cross-layer optimization based on different performance metrics, location-aware communication, cloud computing, and cloud radio access networks. The articles provide a diverse perspective on the potential challenges in 5G cellular systems.

Original language	English
Article number	6924851
Pages (from-to)	12-13
Number of pages	2
Journal	IEEE Signal Processing Magazine
Volume	31
Issue number	6
DOIs	https://doi.org/10.1109/MSP.2014.2345430
Publication status	Published - 2014 Nov

All Science Journal Classification (ASJC) codes

Signal Processing
Electrical and Electronic Engineering
Applied Mathematics

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10.1109/MSP.2014.2345430

Cite this

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abstract = "The articles in this special section provide an overview of recent advances in signal processing for communication with an emphasis on signal processing techniques that will be relevant for 5G cellular systems. It covers a wide range of topics including modulation, beamforming, cross-layer optimization based on different performance metrics, location-aware communication, cloud computing, and cloud radio access networks. The articles provide a diverse perspective on the potential challenges in 5G cellular systems.",

author = "Heath, {Robert W.} and Geert Laus and Quek, {Tony Q.S.} and Shilpa Talwar and Peiyang Zhou",

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Signal processing for the 5G revolution

Abstract

All Science Journal Classification (ASJC) codes

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