By Topic

Joint Iterative Channel Allocation and Beamforming Algorithm for Interference Avoidance in Multiple-Antenna Ad Hoc Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Zeydan, E. ; Dept. Elect. and Comp. Engineering, Stevens Institute of Technology, Hoboken NJ 07030. ezeydan@stevens.edu ; Kivanc-Tureli, D. ; Tureli, U.

In this paper, we consider the problem of interference suppression by performing a joint iterative beamforming [1] and channel allocation (JIBCA) strategy for wireless nodes under contracted quality-of-service (QoS) constraints in an ad hoc network. The objective is to maximize the signal to interference plus noise ratios (SINRs) between two communicating nodes under constant transmit power considering the interference from other nodes in the network. For this purpose, the interference impaired network is modeled as a noncooperative joint beamforming and channel allocation game, in which the payoff includes the maximization of the target SINR and the limiting factor is related to the interference caused by other nodes. The proposed JIBCA algorithm is shown to give better SINR efficiency both with the assumptions of perfect and imperfect channel information availability at the transmit/receive units over the network. It is also shown through simulation results that the JIBCA algorithm converges to Nash equilibriums (NE) and results in SINR efficiency improvement.

Published in:

Military Communications Conference, 2007. MILCOM 2007. IEEE

Date of Conference:

29-31 Oct. 2007