Content Gazette - August 2013 - 34

CALL FOR PAPERS
IEEE Journal of Selected Topics in Signal Processing
Special Issue on Signal Processing for Large-Scale MIMO Communications
Recently, large-scale or massive MIMO techniques have been proposed to tremendously improve the
performance of wireless networks. For networks with massive MIMO, base stations are equipped with a
very large number of antennas, possibly tens to hundreds of antennas communicating with multiple users
on the same frequency band simultaneously. When the number of antennas grows very large or tends to
infinity, the effects of noise and fast fading vanish and intra-cell interference can be mitigated using simple
linear precoding and detection methods. Large-scale MIMO, therefore, is becoming an increasingly
important technique for wireless communications. To practically implement such large-scale MIMO
techniques, several critical issues must be addressed, such as channel estimation and efficient modulation
design. In traditional MIMO systems, OFDM-based estimation and transmission is used. However, as the
number of antennas at the base station grows large, the computational complexity of OFDM increases
dramatically. Other practical issues, such as low-complexity precoding, detection algorithms and energyefficient designs, should be investigated. In multi-cell large-scale MIMO systems, the pilot contamination
issue is a bottle-neck. Efficient signal processing and scheduling schemes are needed to conquer this
problem. Issues regarding cell size design and network planning should be also considered.
With large-scale MIMO systems, a number of paradigm-shifting technical approaches can be expected.
This special issue will focus on signal processing issues for practical design of large-scale MIMO networks.
The objective of this special issue is to bring together the state-of-art research results and industrial
applications. Original contributions, which are previously unpublished and not currently under review by
another journal, are solicited in relevant areas including (but not limited to) the following:
 Efficient channel estimation for large-scale MIMO systems
 Low-complexity modulation design for large-scale MIMO systems
 Practical precoding design for large-scale MIMO systems
 Effective detection algorithms for large-scale MIMO systems
 Mitigating pilot contamination in multi-cell large-scale MIMO systems
 Energy-efficient signal processing for large-scale MIMO systems
 Joint PHY-MAC layer transmission schemes for large-scale MIMO systems
 Distributed large-scale MIMO system design
 Practical network planning and optimization for large-scale MIMO systems
 Applications of large-scale MIMO techniques
 Metrics and methodologies for evaluating large-scale MIMO system performance
 Limitation of large-scale MIMO systems
Prospective authors should visit http://www.signalprocessingsociety.org/publications/periodicals/jstsp/ for
information on paper submission. Manuscripts should be submitted using the Manuscript Central system at
http://mc.manuscriptcentral.com/jstsp-ieee. Manuscripts will be reviewed via the standard IEEE process
according to the following timetable:
 Manuscript submission due: September 15, 2013
 First review due: December 1, 2013
 Revised manuscript due: January 1, 2014
 Second review due: March 1, 2014
 Final manuscript due: April 1, 2014
Guest Editors:
Prof. Geoffrey Li (Leading GE),
Prof. A. Lee Swindlehurst,
Dr. Alexei Ashikhmin,
Prof. David Gesbert,
Prof. Rui Zhang,

Georgia Institute of Technology, email: liye@ece.gatech.edu
The University of California at Irvine, email: swindle@uci.edu
Bell Labs, Alcatel-Lucent, email: aea@alcatel-lucent.com
EURECOM, email: gesbert@eurecom.fr
National Uni. of Singapore, email: elezhang@nus.edu.sg

www.signalprocessingsociety.org

[34]

AUGUST 2013


http://www.signalprocessingsociety.org/publications/periodicals/jstsp/ http://mc.manuscriptcentral.com/jstsp-ieee http://www.signalprocessingsociety.org

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