IEEE Transactions on Signal Processing,
vol. 60, no. 7, July 2012, pp. 3588-3603.
Joint Statistics of Radio Frequency Interference in Multi-Antenna Receivers
Brian L. Evans
Wireless Networking and Communications Group,
The University of Texas at Austin,
Austin, TX 78712 USA
RFI Modeling and
RFI Mitigation Research at UT Austin
Many wireless data communications systems, such as LTE, Wi-Fi and Wimax,
have become or are rapidly becoming interference limited due to radio
frequency interference (RFI) generated by both human-made and natural
Human-made sources of RFI include uncoordinated devices operating in the
same frequency band, devices communicating in adjacent frequency bands,
and computational platform subsystems radiating clock frequencies and
Additive RFI for these wireless systems has predominantly non-Gaussian
statistics, and is well modeled by the Middleton Class A distribution
for centralized networks, and the symmetric alpha stable distribution
for decentralized networks.
Our primary contribution is the derivation of joint spatial statistical
models of RFI generated from uncoordinated interfering sources randomly
distributed around a multi-antenna receiver.
The derivation is based on statistical-physical interference generation
and propagation mechanisms.
Prior results on joint statistics of multi-antenna interference model
either spatially independent or spatially isotropic interference, and
do not provide a statistical-physical derivation for certain network
Our proposed joint spatial statistical model captures a continuum between
spatially independent and spatially isotropic statistics, and hence
includes many previous results as special cases.
Practical applications include co-channel interference modeling for
various wireless network environments, including wireless ad hoc,
cellular, local area, and femtocell networks.
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Last Updated 09/05/12.