IEEE Transactions on Signal Processing,
vol. 60, no. 12, pp. 6713-6718, Dec. 2012.
Joint Temporal Statistics of Interference in
Decentralized Wireless Networks
Kapil Gulati (1),
Brian L. Evans (1),
Srikathyayani Srikanteswara (2)
Wireless Networking and Communications Group,
Engineering Science Building,
The University of Texas at Austin,
Austin, TX 78712 USA
(2) System Technology Lab, Intel, Hillsborough, Oregon USA.
Intereference Mitigation Research at UT Austin
Intereference Modeling and Mitigation Toolbox
Characterizing interference statistics is central to the design and
analysis of both physical layer and medium access control layer techniques
to mitigate interference in a wireless network.
The applicability of interference statistics, however, is limited by
the assumptions adopted to derive the statistics in closed-form.
Common assumptions for a decentralized wireless network include temporally
independent user locations and an unbounded pathloss function.
In this paper, we derive the joint temporal statistics of interference
that capture the temporal correlation in the network along with the
realistic assumption of a bounded pathloss function.
The closed-form statistics are asymptotically exact for low tail
probabilities, and match closely in simulations even when the tail
probability is fairly high.
The primary contributions are to
- show that joint interference statistics follow a multivariate
Gaussian mixture distribution under the assumption of a bounded
pathloss function, and
- characterize the joint tail probability decay behavior for both
bounded and unbounded pathloss functions.
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Last Updated 12/12/12.