An experimental investigation of SIMO, MIMO, interference-alignment (IA) and coordinated multi-point (CoMP)

In this paper we present experimental implementations of interference alignment (IA) and coordinated multi-point transmission (CoMP). We provide results for a system with three base-stations and three mobile-stations all having two antennas. We further employ OFDM modulation, with high-order constellations, and measure many positions both line-of-sight and non-line-of-sight under interference limited conditions. We find the CoMP system to perform better than IA at the cost of a higher back-haul capacity requirement. During the measurements we also logged the channel estimates for offline processing. We use these channel estimates to calculate the performance under ideal conditions. The performance estimates obtained this way is substantially higher than what is actually observed in the end-to-end transmissions-in particular in the CoMP case where the theoretical performance is very high. We find the reason for this discrepancy to be the impact of dirty-RF effects such as phase-noise and non-linearities. We are able to model the dirty-RF effects to some extent. These models can be used to simulate more complex systems and still account for the dirty-RF effects (e.g., systems with tens of mobiles and base-stations). Both IA and CoMP perform better than reference implementations of single-user SIMO and MIMO in our measurements.

[1]  Syed Ali Jafar,et al.  Approaching the Capacity of Wireless Networks through Distributed Interference Alignment , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[2]  Gerhard Fettweis,et al.  A comp downlink transmission system verified by cellular field trials , 2011, 2011 19th European Signal Processing Conference.

[3]  Hao Chen,et al.  Field trials of downlink multi-cell MIMO , 2011, 2011 IEEE Wireless Communications and Networking Conference.

[4]  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.

[5]  Robert W. Heath,et al.  Real world feasibility of interference alignment using MIMO-OFDM channel measurements , 2009, MILCOM 2009 - 2009 IEEE Military Communications Conference.

[6]  Per Zetterberg,et al.  Experimental Investigation of TDD Reciprocity-Based Zero-Forcing Transmit Precoding , 2011, EURASIP J. Adv. Signal Process..

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

[8]  L. Thiele,et al.  Field trials using coordinated multi-point transmission in the downlink , 2010, 2010 IEEE 21st International Symposium on Personal, Indoor and Mobile Radio Communications Workshops.

[9]  Silvano Pupolin,et al.  Analysis of M-QAM-OFDM Transmission System Performance in the Presence of Phase Noise and Nonlinear Amplifiers , 1998, 1998 28th European Microwave Conference.

[10]  Emil Björnson,et al.  Optimality Properties, Distributed Strategies, and Measurement-Based Evaluation of Coordinated Multicell OFDMA Transmission , 2011, IEEE Transactions on Signal Processing.

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

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