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+-----------------------------------------------------------------+ | Call for Papers | | IEEE Wireless Communications Magazine | | Special Issue on | | Enhancing Spectral Efficiency for LTE-Advanced and Beyond Cellular Networks | 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 sm! all 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 锟�Author Guidelines锟?and 锟�Paper Submission Guidelines锟?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 ([email protected]) Dr. Yan Xin, Samsung Dallas Technology Labs, USA ([email protected]) Dr. Weiyi Zhang, AT&T Labs Research, USA ([email protected]) Dr. Chonggang Wang, InterDigital Communications, USA ([email protected])
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