Proportional fair resource partition for LTE-advanced networks with Type I relay nodes

Ma, Zhangchao and Xiang, Wei and Long, Hang and Wang, Wenbo (2011) Proportional fair resource partition for LTE-advanced networks with Type I relay nodes. In: ICC 2011: Source of Innovation: Back to the Origin, 5-9 Jun 2011 , Kyoto, Japan.

Abstract

In 3GPP LTE-Advanced networks deployed with type I relay nodes (RNs), resource partition is required to support in-band relaying. This paper focuses on how to partition system resources in order to attain improved fairness and efficiency. We first formulate the generalized proportional fair (GPF) resource allocation problem to provide fairness for all users served by the evolved node B (eNB) and its subordinate RNs. Assuming traditional proportional fair scheduling is executed independently at the eNB and each RN to achieve local fairness, we propose the proportional fair resource partition algorithm to tackle the GPF problem and ensure global fairness. Through system level simulations, the proposed algorithm is evaluated and compared with both non-relaying and relaying systems with the fixed resource partition approach. Simulation results demonstrate that the proposed algorithm can achieve a good trade-off between system throughput and fairness performance.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to publisher version due to publisher copyright policy.
Depositing User: Dr Wei Xiang
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 25 Jun 2012 03:07
Last Modified: 03 Jul 2013 01:06
Uncontrolled Keywords: fairness performance; in-band; partition algorithms; partition systems; proportional fair scheduling; relay node; relaying systems; resource allocation problem; simulation result; system level simulation; system throughput
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0805 Distributed Computing > 080502 Mobile Technologies
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080110 Simulation and Modelling
10 Technology > 1005 Communications Technologies > 100510 Wireless Communications
Socio-Economic Objective (SEO2008): B Economic Development > 89 Information and Communication Services > 8901 Communication Networks and Services > 890103 Mobile Data Networks and Services
Identification Number or DOI: doi: 10.1109/icc.2011.5963280
URI: http://eprints.usq.edu.au/id/eprint/20927

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