Optimized Data Sharing in Multicell MIMO With Finite Backhaul Capacity

This paper addresses cooperation in a multicell environment where base stations (BSs) wish to jointly serve multiple users, under a constrained-capacity backhaul. We point out that for finite backhaul capacity a tradeoff between sharing user data, which allows for full MIMO cooperation, and not doin...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on signal processing 2011-12, Vol.59 (12), p.6102-6111
Main Authors: Zakhour, R., Gesbert, D.
Format: Article
Language:English
Subjects:
Applied sciences
Array signal processing
Base stations
Broadcast channel
Channels
Coding, codes
CoMP
Cooperation
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Information, signal and communications theory
interference channel
Interference channels
limited backhaul optimization
linear precoding
Mathematical analysis
MIMO
multicell cooperation
Optimization
Signal and communications theory
Signal processing
Signal, noise
Splitting
Stations
Symbols
Telecommunications and information theory
Transmitters
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper addresses cooperation in a multicell environment where base stations (BSs) wish to jointly serve multiple users, under a constrained-capacity backhaul. We point out that for finite backhaul capacity a tradeoff between sharing user data, which allows for full MIMO cooperation, and not doing so, which reduces the setup to an interference channel but also requires less overhead, emerges. We optimize this tradeoff by formulating a rate splitting approach in which non-shared data (private to each transmitter) and shared data are superimposed. We derive the corresponding achievable rate region and obtain the optimal beamforming design for both shared and private symbols. We illustrate how the capacity of the backhaul determines how much of the user data is worth sharing across multiple BSs.
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2011.2165949