Research Article
Iterative dual downlink beamforming for cognitive radio networks
@INPROCEEDINGS{10.4108/ICST.CROWNCOM2010.9247, author={Marius Pesavento and Dana Ciochina and Alex B. Gershman}, title={Iterative dual downlink beamforming for cognitive radio networks}, proceedings={5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications}, publisher={IEEE}, proceedings_a={CROWNCOM}, year={2010}, month={9}, keywords={Array signal processing Downlink Interference Resource management Signal to noise ratio Software algorithms Tin}, doi={10.4108/ICST.CROWNCOM2010.9247} }- Marius Pesavento
Dana Ciochina
Alex B. Gershman
Year: 2010
Iterative dual downlink beamforming for cognitive radio networks
CROWNCOM
IEEE
DOI: 10.4108/ICST.CROWNCOM2010.9247
Abstract
We address the problem of multi-user downlink beamforming and power allocation in a cognitive radio (CR) secondary network (SN) with constraints on the total interference in the primary network (PN). We derive the Lagrange dual of the problem and show that both problems are equivalent. Two algorithms are proposed to solve the problem. The first is based on convex optimization and the second algorithm exploits the uplink-downlink duality that is enforced by the introduction of appropriate slack variables in the constrained optimization problem. This leads to a simple iterative technique that enjoys easy implementation and low computational costs. Simulation results illustrate that the proposed iterative technique converges to the global optimum in all cases.