Joint SINR-based link scheduling with max-min traffic delivery ratio in wireless multihop network systems

Gary Ka-wai Wong

International Journal of Business and Systems Research, 2014, vol. 8, issue 2, 191-211

Abstract: Link scheduling under the physical interference model has been an ongoing research problem in multihop wireless network systems. Yet, this issue has not been well addressed due to the difficulty of solving such problem. In this paper, our objective is to schedule each communication link where the minimal traffic delivery ratio at the destination in the multihop wireless network is maximised. The link scheduling optimisation problem is formulated as a power controlled rate adaptive scheduling problem (PRSP) using mixed integer non-linear programming (MINLP). We propose an iterative-based algorithm by enhancing the generalised Bender's decomposition (GBD) with node eliminations to reduce the complexity in the MINLP and solve it numerically. We prove that our enhanced GBD algorithm can generate a near-optimal solution for the MINLP. Based on the sub-optimal solution, we design a novel greedy power controlled scheduling algorithm for PRSP which can also generate a similar result in polynomial time complexity.

Keywords: cross-layer optimisation; transmission link scheduling; power control; rate adaptation; physical interference model; SINR; signal-to-interference and noise ratio; max-min traffic delivery ratio; wireless networks; multihop networks; mixed integer nonlinear programming. (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=60313 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbsre:v:8:y:2014:i:2:p:191-211

Access Statistics for this article

More articles in International Journal of Business and Systems Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().