THE PRACTICAL CHALLENGES OF INTERFERENCE ALIGNMENT

被引:141
作者
El Ayach, Omar [1 ]
Peters, Steven W. [2 ]
Heath, Robert W., Jr. [3 ]
机构
[1] Univ Texas Austin, Austin, TX 78712 USA
[2] Kuma Signals LLC, Austin, TX USA
[3] Univ Texas Austin, Elect & Commun Engn Dept, Austin, TX 78712 USA
关键词
FREEDOM;
D O I
10.1109/MWC.2013.6472197
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Interference alignment is a revolutionary wireless transmission strategy that reduces the impact of interference. The idea of interference alignment is to coordinate multiple transmitters so that their mutual interference aligns at the receivers, facilitating simple interference cancellation techniques. Since interference alignment's inception, researchers have investigated its performance and proposed several improvements. Research efforts have been primarily focused on verifying interference alignment's ability to achieve the maximum degrees of freedom (an approximation of sum capacity), developing algorithms for determining alignment solutions, and designing transmission strategies that relax the need for perfect alignment but yield better performance. This article provides an overview of the concept of interference alignment as well as an assessment of practical issues including performance in realistic propagation environments, the role of channel state information at the transmitter, and the practicality of interference alignment in large networks.
引用
收藏
页码:35 / 42
页数:8
相关论文
共 15 条
[1]  
[Anonymous], ARXIV10034764
[2]  
[Anonymous], P IEEE GLOB TEL C GL
[3]   Interference alignment and degrees of freedom of the K-user interference channel [J].
Cadambe, Viveck R. ;
Jafar, Syed Ali .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2008, 54 (08) :3425-3441
[4]   Interference Alignment with Analog Channel State Feedback [J].
El Ayach, Omar ;
Heath, Robert W., Jr. .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2012, 11 (02) :626-636
[5]   The Feasibility of Interference Alignment Over Measured MIMO-OFDM Channels [J].
El Ayach, Omar ;
Peters, Steven W. ;
Heath, Robert W., Jr. .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2010, 59 (09) :4309-4321
[6]   A Distributed Numerical Approach to Interference Alignment and Applications to Wireless Interference Networks [J].
Gomadam, Krishna ;
Cadambe, Viveck R. ;
Jafar, Syed A. .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2011, 57 (06) :3309-3322
[7]  
Jafar S.A., 2011, Interference Alignment: A New Look at Signal Dimensions in a Communication Network
[8]   Random Access Heterogeneous MIMO Networks [J].
Lin, Kate Ching-Ju ;
Gollakota, Shyamnath ;
Katabi, Dina .
ACM SIGCOMM COMPUTER COMMUNICATION REVIEW, 2011, 41 (04) :146-157
[9]   Communication over MIMO X channels: Interference alignment, decomposition, and performance analysis [J].
Maddah-Ali, Mohammad Ali ;
Motahari, Abolfazl Seyed ;
Khandani, Amir Keyvan .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2008, 54 (08) :3457-3470
[10]   User Partitioning for Less Overhead in MIMO Interference Channels [J].
Peters, Steven W. ;
Heath, Robert W., Jr. .
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2012, 11 (02) :592-603