Compressed sensing techniques for dynamic resource allocation in wideband cognitive networks
Document Type
Conference Proceeding
Publication Date
12-1-2010
Abstract
For multi-user cognitive networks, joint dynamic resource allocation (DRA) and waveform adaptation techniques have been developed that effectively represent, manipulate and utilize the physical-layer radio resources by synthesizing both transmitter and receiver waveforms from generalized signal expansion functions. To effect distributed DRA games, this paper discusses the intertwined sensing task and develops compressed sensing techniques that simultaneously estimate all the channel and interference links using only a small number of samples collected from a sparse set of expansion functions. By properly identifying and utilizing the sparsity properties of a wideband environment, the proposed schemes considerably reduce both sensing time and implementation costs.
Publication Title
IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Recommended Citation
Tian, Z.,
Leus, G.,
&
Lottici, V.
(2010).
Compressed sensing techniques for dynamic resource allocation in wideband cognitive networks.
IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC.
http://doi.org/10.1109/SPAWC.2010.5670984
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/10929