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International Journal of Antennas and Propagation
Volume 2015 (2015), Article ID 675650, 1 page

MIMO Antenna Design and Channel Modeling 2014

1Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
2School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0250, USA
3Experimental Physics Department, National University of Ireland Maynooth, Location Science Building, Room 2.13, Ireland
4School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
5Beijing Institute of Technology, Beijing 100081, China
6Institute for Infocomm Research, 1 Fusionopolis Way, Singapore 138632

Received 18 May 2015; Accepted 18 May 2015

Copyright © 2015 Wenhua Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Every ten years or so, something big happens in mobile. Now, 5G is emerging ahead of the turn of a new decade and the next big change to hit mobile. Massive MIMO is believed to be a disruptive technology for the upcoming 5G standard, which makes a clean break with current practice through the use of a very large number of service antennas that are operated fully coherently and adaptively. Extra antennas help by focusing the transmission and reception of signal energy into ever-smaller regions of space. This brings huge improvements in throughput and energy efficiency, particularly when combined with simultaneous scheduling of a large number of user terminals.

In this special issue, we have received 18 paper submissions, the accepted papers include wideband MIMO antenna design, power allocation optimization, mutual Coupling suppression.

We sincerely hope that this special issue can further help the readers to understand MIMO design and MIMO channel modeling and explore the future 5G MIMO in the subsequent development and standardization of the system.

Wenhua Chen
Manos M. Tentzeris
Neil Trappe
Yuan Yao
Yan Zhang
Xinyi Tang