Paper Info
Title
An Experimental Investigation of SIMO, MIMO, Interference-Alignment (IA) and Coordinated Multi-Point (CoMP)
Abstract
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 off-line 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.
Year
Venue
Keywords
2011
Systems, Signals and Image Processing
MIMO communication,OFDM modulation,channel estimation,large-scale systems,radiofrequency interference,CoMP transmission,MIMO,OFDM modulation,SIMO,back-haul capacity,base stations,channel estimates,complex systems,coordinated multipoint transmission,dirty-RF effects,end-to-end transmissions,high-order constellations,interference limited conditions,interference-alignment,mobile stations,offline processing,Interference alignment (IA),MIMO,SIMO,USRP,coordinated multipoint (CoMP),testbed,wireless
Field
DocType
ISSN
Complex system,Signal processing,Telecommunications,Computer science,Constellation,Artificial intelligence,Interference (wave propagation),Multi-user MIMO,Pattern recognition,MIMO,Communication channel,Algorithm,Orthogonal frequency-division multiplexing
Journal
2157-8672
ISBN
Citations 
PageRank 
978-1-4577-2191-5
5
0.44
References 
Authors
0
2
Name
Order
Citations
PageRank
Per Zetterberg120924.11
Nima N. Moghadam2193.11