Post date: 09-sep-2014 9:12:56

Title: Resource Allocation and Receiver MAP Estimation Using Interference Tweets (An Example of Robust Optimization&Inference in Cognitive Nets)

Date: 29-NOV-2013

Material: slides pdf

Speaker: Antonio García Marques

Abstract: A cross-layer resource allocation scheme for underlay multi-hop cognitive radio networks is formulated, in the presence of uncertain propagation gains and locations of incumbent users. Secondary network design variables are optimized under average probability-of-interference constraints. Interference is evaluated by using channel statistics and maps that pinpoint areas where primary receivers are likely to reside. The maps are tracked by using a Bayesian approach, based on a 1-bit message - here refereed to as ``interference tweet'' - sent by the primary system whenever a communication disruption occurs due to interference. At each time instant, the estimated maps serve as input of the cross-layer optimization of the secondary network. Although nonconvex, the problem has zero duality gap, and it is optimally solved using a Lagrangian dual approach. Numerical experiments demonstrate the ability in localizing passive receivers, as well as the performance gains enabled by this minimal primary-secondary interplay.