File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1504/IJBSR.2014.060313
- Scopus: eid_2-s2.0-84901000870
- Find via
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Article: Joint SINR-based link scheduling with max-min traffic delivery ratio in wireless multihop network systems
Title | Joint SINR-based link scheduling with max-min traffic delivery ratio in wireless multihop network systems |
---|---|
Authors | |
Keywords | Rate adaptation Physical interference model Systems Cross-layer optimisation Power control Transmission link scheduling |
Issue Date | 2014 |
Citation | International Journal of Business and Systems Research, 2014, v. 8, n. 2, p. 191-211 How to Cite? |
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. Copyright © 2014 Inderscience Enterprises Ltd. |
Persistent Identifier | http://hdl.handle.net/10722/230959 |
ISSN | 2023 SCImago Journal Rankings: 0.197 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wong, Gary Ka Wai | - |
dc.date.accessioned | 2016-09-01T06:07:15Z | - |
dc.date.available | 2016-09-01T06:07:15Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | International Journal of Business and Systems Research, 2014, v. 8, n. 2, p. 191-211 | - |
dc.identifier.issn | 1751-200X | - |
dc.identifier.uri | http://hdl.handle.net/10722/230959 | - |
dc.description.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. Copyright © 2014 Inderscience Enterprises Ltd. | - |
dc.language | eng | - |
dc.relation.ispartof | International Journal of Business and Systems Research | - |
dc.subject | Rate adaptation | - |
dc.subject | Physical interference model | - |
dc.subject | Systems | - |
dc.subject | Cross-layer optimisation | - |
dc.subject | Power control | - |
dc.subject | Transmission link scheduling | - |
dc.title | Joint SINR-based link scheduling with max-min traffic delivery ratio in wireless multihop network systems | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1504/IJBSR.2014.060313 | - |
dc.identifier.scopus | eid_2-s2.0-84901000870 | - |
dc.identifier.volume | 8 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 191 | - |
dc.identifier.epage | 211 | - |
dc.identifier.eissn | 1751-2018 | - |
dc.identifier.issnl | 1751-200X | - |