[Tccc] CFP-Special Issue on "Enhancing Spectral Efficiency for LTE-Advanced and Beyond Cellular Networks"- IEEE Wireless Communications Magazine
wangsw
wangswatnju.edu.cn
Mon Apr 29 14:32:14 EDT 2013
CALL FOR PAPERS
Special Issue on
Enhancing Spectral Efficiency for LTE-Advanced and Beyond Cellular Networks
IEEE Wireless Communications Magazine
To meet rapidly growing demands for high data-rate wireless broadband services,
a significant effort has been made towards the development of
Long-Term-Evolution (LTE)-advanced and beyond cellular networks, which are
expected to offer considerably higher data rates than the existing 3rd
generation (3G) networks. In recent years, a number of wireless technologies
such as massive Multiple-Input Multiple-Output (MIMO) and small cell solution
have been proposed and/or developed in order to enhance spectral efficiency of
cellular networks. In massive MIMO systems, a large number of transmit antennas
(e.g., hundreds of antennas) are deployed at base station and very high
spectral-efficiency can be achieved by exploiting degrees of freedom in spatial
domain. Recent theoretical and experimental findings show that massive MIMO has
shown great potential to dramatically improve data rates and link reliability,
and power savings for cellular networks. Another attractive technology is small
cell solution, in which low-cost BSs are densely deployed and the size of a
cell is substantially reduced. Small cell solution can greatly improve
frequency-reuse ratios in geographical domain and thus is able to enhance
spectral-efficiency of cellular networks. Several other technologies such as
Device-to-Device (D2D) and cognitive radio have emerged as promising solutions
to improve spectral-efficiency for cellular networks in various scenarios. Each
of these solutions has its advantages and challenges, which need to be
thoroughly addressed. Equally important, the issue of how these solutions can
be effectively integrated into cellular networks also needs to be carefully
tackled. Other possible solutions along with related technical challenges also
need to be further investigated.
Scope
The goal of this special issue is to provide a collection of survey/tutorial
content focusing on the recent advances in the development of
spectral-efficient technologies for LTE-Advanced and beyond cellular networks.
We solicit papers of both academic and industrial contributions, covering
various topics of interest that include, but not limited to the following:
Channel modeling and characterization of large-scale multi-antenna systems
Low-complexity beamforming and precoding schemes for massive MIMO systems
Efficient signal processing algorithms for massive MIMO systems
Inter-cell interference mitigation for multi-cell massive MIMO systems
Load-balance and handover between macro cells and small cells
Interference management for spectral efficiency improvement for small cells
Cooperation among small cells and small cell backhaul
D2D radio resource and link management, interference coordination, and access
scheduling
Beamforming and power allocation for multi-user MIMO cognitive radio networks
Spectrum sharing techniques for cognitive radio networks
Interactions and impacts among different spectral-efficient technologies (e.g.
massive MIMO, small sells, D2D communications, cognitive radio)
Submissions Guideline
For manuscript preparation and submission, please follow the guidelines in the
Author Guidelines and Paper Submission Guidelines at the IEEE Wireless
Communications Magazine web page, http://www.comsoc.org/wirelessmag. A paper
should have no more than 4500 words, no more than 6 tables/figures, and its
abstract should have no more than 250 words. Any submission that fails to
comply with the guidelines will be rejected without review. Papers must be
submitted in PDF format to the Manuscript Central
http://mc.manuscriptcentral.com/ieee-wcm.
Schedule
Submissions deadline: July 15, 2013
Author notifications: November 15, 2013
Final manuscripts due: January 15, 2014
Publication date: April, 2014
Guest Editors
Prof. Shaowei Wang, Nanjing University, China (wan... at nju.edu.cn)
Dr. Yan Xin, Samsung Dallas Technology Labs, USA (yan.... at sta.samsung.com)
Dr. Weiyi Zhang, AT&T Labs Research, USA (maxzh... at research.att.com)
Dr. Chonggang Wang, InterDigital Communications, USA (cgw... at ieee.org)
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