The impact of capture on multihop wireless networks in an optimal rate control framework

Authors:
Jun Jung Hyun;Affan A. Syed;Bhaskar Krishnamachari
Affiliations:
University of Southern California, Los Angeles, CA;University of Southern California, Los Angeles, CA;University of Southern California, Los Angeles, CA
Venue:
WICON '07 Proceedings of the 3rd international conference on Wireless internet
Year:
2007

Citing 4
Cited 0

Convex Optimization

Convex Optimization
Cross-layer rate control for end-to-end proportional fairness in wireless networks with random access

Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Exploiting the capture effect for collision detection and recovery

EmNets '05 Proceedings of the 2nd IEEE workshop on Embedded Networked Sensors
Optimal power control in interference-limited fading wireless channels with outage-probability specifications

IEEE Transactions on Wireless Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

We consider the end-to-end fair rate control problem in a multi-hop Aloha network with capture. Capture (also referred to as co-channel interference tolerance) occurs when a packet with a stronger signal strength can be correctly decoded at the receiver despite the presence of a weaker interfering signal. We provide an approximate model for the link capacity with capture and incorporate it into a cross-layer joint link/session rate optimization framework. We show that this is a convex optimization problem and then present a sub-gradient algorithm for realistic distributed implementation in a network. Through analysis and simulations, we quantify the improvement in performance obtained with capture. We find that the capture effect benefits primarily low-contention links and non-bottle-neck sessions. As a result, although capture provides significant improvements in the total throughput (sum rate), it seems to provide little improvement in the objective function (sum of the logarithm of the rates).