By Topic

QoS-Aware Cooperative and Opportunistic Scheduling Exploiting Multiuser Diversity for Rate-Adaptive 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)
Qing Chen ; Dept. of Electron. Eng., Tsinghua Univ., Beijing ; Qian Zhang ; Zhisheng Niu

The recent research works in wireless networks prompt the opportunistic transmission that exploits channel fluctuations to improve the overall system performance. In wireless ad hoc networks, nodes may have packets destined to multiple neighboring nodes. We consider an opportunistic scheduling that takes advantage of a time-varying channel among different receivers to improve system performance. Maximizing the overall throughput and satisfying the QoS requirements for the transmission flows are two important objectives that need to be considered. In literature, many opportunistic scheduling policies for ad hoc networks have been proposed, in which each transmitter independently schedules the transmission. However, due to cochannel interference, the decisions of neighboring transmitters are highly correlated. Moreover, to achieve the QoS requirements, the nodes have to be cooperative to share the common wireless channel. In this paper, we formulate the opportunistic scheduling problem, taking the interaction among the neighboring transmitters into account. We present an optimal scheduling policy which maximizes the overall network performance while satisfying the QoS requirements of the individual flows. We also propose a distributed cooperative and opportunistic scheduling algorithm that modifies the IEEE 802.11 protocol to implement the optimal scheduling policy. Simulation results indicate that our implementation achieves higher network throughput and provides better QoS support than the existing solutions.

Published in:

Vehicular Technology, IEEE Transactions on  (Volume:57 ,  Issue: 2 )