Experimental evaluation of interference alignment for broadband WLAN systems

In this paper, we present an experimental study on the performance of spatial interference alignment (IA) in indoor wireless local area network scenarios that use orthogonal frequency division multiplexing (OFDM) according to the physical-layer specifications of the IEEE 802.11a standard. Experiments have been carried out using a wireless network testbed capable of implementing a 3-user MIMO interference channel. We have implemented IA decoding schemes that can be designed according to distinct criteria (e.g., zero-forcing or MaxSINR). The measurement methodology has been validated considering practical issues like the number of OFDM training symbols used for channel estimation or feedback time. In case of asynchronous users, a time-domain IA decoding filter is also compared to its frequency-domain counterpart. We also evaluated the performance of IA from bit error ratio measurement-based results in comparison to different time-division multiple access transmission schemes. The comparison includes single- and multiple-antenna systems transmitting over the dominant mode of the MIMO channel. Our results indicate that spatial IA is suitable for practical indoor scenarios in which wireless channels often exhibit relatively large coherence times.

[1]  Luis Castedo,et al.  Experimental evaluation of Interference Alignment under imperfect channel state information , 2011, 2011 19th European Signal Processing Conference.

[2]  Helmut Bölcskei,et al.  Interference alignment with limited feedback , 2009, 2009 IEEE International Symposium on Information Theory.

[3]  Luis Castedo,et al.  Performance of MIMO systems in measured indoor channels with transmitter noise , 2012, EURASIP J. Wirel. Commun. Netw..

[4]  Iain B. Collings,et al.  Transmitter Noise Effect on the Performance of a MIMO-OFDM Hardware Implementation Achieving Improved Coverage , 2008, IEEE Journal on Selected Areas in Communications.

[5]  Syed A. Jafar,et al.  Interference Alignment: A New Look at Signal Dimensions in a Communication Network , 2011, Found. Trends Commun. Inf. Theory.

[6]  Syed Ali Jafar,et al.  Interference Alignment and Degrees of Freedom of the $K$-User Interference Channel , 2008, IEEE Transactions on Information Theory.

[7]  A. H. Kayran,et al.  On Feasibility of Interference Alignment in MIMO Interference Networks , 2009, IEEE Transactions on Signal Processing.

[8]  Markus Rupp,et al.  Measuring the impact of outdated channel state information in interference alignment techniques , 2014, 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM).

[9]  Syed Ali Jafar,et al.  A Distributed Numerical Approach to Interference Alignment and Applications to Wireless Interference Networks , 2011, IEEE Transactions on Information Theory.

[10]  Robert W. Heath,et al.  The Feasibility of Interference Alignment Over Measured MIMO-OFDM Channels , 2009, IEEE Transactions on Vehicular Technology.

[11]  Markus Rupp,et al.  Measurement and modelling of interference alignment impairments , 2014, 2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM).

[12]  Thomas Zwick,et al.  Improved Interference Alignment Performance for MIMO OFDM Systems by Multimode MIMO Antennas , 2012 .

[13]  Wolfgang Rave,et al.  Dirty RF: A New Paradigm , 2005, 2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications.

[14]  Dina Katabi,et al.  Interference alignment and cancellation , 2009, SIGCOMM '09.

[15]  John L. B. Walker Handbook of RF and Microwave Power Amplifiers: Frontmatter , 2011 .

[16]  Giuseppe Caire,et al.  Achieving high data rates in a distributed MIMO system , 2012, Mobicom '12.

[17]  Andreas Peter Burg,et al.  MIMO transmission with residual transmit-RF impairments , 2010, 2010 International ITG Workshop on Smart Antennas (WSA).

[18]  R. Brandt,et al.  Interference alignment in frequency — A measurement based performance analysis , 2012, 2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP).

[19]  Robert W. Heath,et al.  Pre- and post-FFT interference leakage minimization for MIMO OFDM networks , 2012, 2012 International Symposium on Wireless Communication Systems (ISWCS).

[20]  Robert W. Heath,et al.  Interference leakage minimization for convolutive MIMO interference channels , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[21]  Kapil R. Dandekar,et al.  Impact of pattern reconfigurable antennas on Interference Alignment over measured channels , 2012, 2012 IEEE Globecom Workshops.

[22]  José Antonio García-Naya,et al.  Experimental validation of Interference Alignment techniques using a multiuser MIMO testbed , 2011, 2011 International ITG Workshop on Smart Antennas.

[23]  Jørgen Bach Andersen,et al.  Array gain and capacity for known random channels with multiple element arrays at both ends , 2000, IEEE Journal on Selected Areas in Communications.

[24]  Carlos Beltrán,et al.  A Feasibility Test for Linear Interference Alignment in MIMO Channels With Constant Coefficients , 2012, IEEE Transactions on Information Theory.

[25]  Lina Mroueh,et al.  Feasibility of Interference Alignment in the Time-Frequency Domain , 2012, IEEE Transactions on Wireless Communications.

[26]  Zhi-Quan Luo,et al.  On the Degrees of Freedom Achievable Through Interference Alignment in a MIMO Interference Channel , 2011, IEEE Transactions on Signal Processing.

[27]  Mohammed El-Absi,et al.  Reliability of MIMO-OFDM Interference Alignment Systems with Antenna Selection under Real-World Environments , 2014 .

[28]  Robert W. Heath,et al.  Distributed Real-Time Implementation of Interference Alignment with Analog Feedback , 2015, IEEE Transactions on Vehicular Technology.

[29]  Per Zetterberg,et al.  An experimental investigation of SIMO, MIMO, interference-alignment (IA) and coordinated multi-point (CoMP) , 2012, 2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP).

[30]  V. Erceg,et al.  TGn Channel Models , 2004 .

[31]  Robert W. Heath,et al.  Implementation of a real-time wireless interference alignment network , 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR).