Open AccessUplink scheduling solution for enhancing throughput and fairness in relayed long‐term evolution networks
Author(s) -
Ruby Rukhsana,
Leung Victor C.M.
Publication year - 2014
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2013.0558
Subject(s) - computer science , relay , scheduling (production processes) , subgradient method , telecommunications link , mathematical optimization , bargaining problem , computer network , distributed computing , maximum throughput scheduling , dynamic priority scheduling , round robin scheduling , quality of service , mathematics , power (physics) , mathematical economics , machine learning , physics , quantum mechanics
Relaying is one of the key techniques adopted by third‐generation partnership project long‐term evolution (LTE) advanced as part of 4G cellular technologies, aiming to increase coverage and capacity of networks especially for the edge nodes. The authors have considered the uplink scheduling of LTE networks with the help of positioned relay nodes which have fixed routing configuration. The entire problem is projected as a constrained convex optimisation formulation and for the solution purpose, subgradient method is adopted. Revealing the guiding principles of optimal solution, a few suboptimal scheduling algorithms are proposed to allocate resource blocks across all nodes with the help of existing work. Deploying a large number of relays may not be useful to basic user nodes, and hence, the proposed schemes are adaptive and have ability to distinguish useful relays from not‐useful ones. In addition to system throughput maximisation, for ensuring fairness across user nodes, the authors have proposed scheduling techniques which are the outcome of Nash bargaining solution. Numerical calculations and results have been shown to justify that relay nodes can potentially improve system's performance at low load, whereas at high load they remain inactive because of their inability to contribute.