2014
DOI: 10.1109/tnet.2013.2282872
|View full text |Cite
|
Sign up to set email alerts
|

Joint Rate Control and Scheduling for Providing Bounded Delay With High Efficiency in Multihop Wireless Networks

Abstract: Citation: Jahromizadeh, Soroush (2013). Joint rate control and scheduling for providing bounded delay with high efficiency in multihop wireless networks. (Unpublished Doctoral thesis, City University London) This is the unspecified version of the paper.This version of the publication may differ from the final published version. factor. The alternative optimisation problem is solved by a distributed scheduling algorithm incorporating a duality-based rate control algorithm at its inner layer, where optimal … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2016
2016
2017
2017

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 43 publications
0
2
0
Order By: Relevance
“…Some work [32][33][34][35] considered the queue bounded networks in their NUM to optimize the end-to-end fair session rates in a distributed fashion for multihop wireless networks. In [32,33], the authors used a stochastic queueing model to estimate the delay and added a constraint in the utility optimization problem.…”
Section: Num Based Congestion Controlmentioning
confidence: 99%
See 1 more Smart Citation
“…Some work [32][33][34][35] considered the queue bounded networks in their NUM to optimize the end-to-end fair session rates in a distributed fashion for multihop wireless networks. In [32,33], the authors used a stochastic queueing model to estimate the delay and added a constraint in the utility optimization problem.…”
Section: Num Based Congestion Controlmentioning
confidence: 99%
“…The problem is convex because of the interference model and link capacitance as they solve it for the wired network. In order to incorporate the queue management in the optimization process, [34] and [35] looked at the end-to-end average delay of each session. They need to collect data along the session path and provide it to each link in the session so that each link has information about the delay prices.…”
Section: Num Based Congestion Controlmentioning
confidence: 99%