Joint Precoding and Multivariate Backhaul Compression for the Downlink of Cloud Radio Access Networks

This work studies the joint design of precoding and backhaul compression strategies for the downlink of cloud radio access networks. In these systems, a central encoder is connected to multiple multi-antenna base stations (BSs) via finite-capacity backhaul links. At the central encoder, precoding is...

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Bibliographic Details
Published in:	IEEE transactions on signal processing Vol. 61; no. 22; pp. 5646 - 5658
Main Authors:	Seok-Hwan Park, Simeone, Osvaldo, Sahin, Onur, Shamai, Shlomo
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.11.2013 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Applied sciences Cloud radio access network Clouds Coders Coding, codes Compressing constrained backhaul Correlation Design engineering Detection, estimation, filtering, equalization, prediction distributed antenna systems Downlink Encoders Exact sciences and technology Information, signal and communications theory Joints Links multivariate compression network MIMO Networks Niobium Noise precoding Quantization Quantization (signal) Radio access networks Signal and communications theory Signal, noise Telecommunications and information theory Wireless communications Performance evaluation Parameter estimation State of the art Clouds Base station Wireless telecommunication multivariate compression Downlink Iterative method distributed antenna systems constrained backhaul precoding Implementation Mean square error Coding Channel estimation Pretreatment Antenna array Additive noise Mobile radiocommunication MIMO system Coding circuit Correlation matrix Distributed system Algorithm Cloud radio access network Quantization noise Signal processing Access network Numerical simulation network MIMO
ISSN:	1053-587X, 1941-0476
Online Access:	Get full text
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