Proportional fair-based in-cell routing for relay-enhanced cellular networks

Ma, Zhangchao, Xiang, Wei, Long, Hang, and Wang, Wenbo (2011) Proportional fair-based in-cell routing for relay-enhanced cellular networks. In: Proceedings of the 2011 IEEE Wireless Communications and Networking Conference. pp. 381-385. From: WCNC 2011: IEEE Wireless Communications and Networking Conference, 28-31 March 2011, Cancun, Mexico.

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Abstract

This paper focuses on how to associate users with serving nodes in order to achieve improved fairness and efficiency for the cellular networks enhanced with multiple relay nodes (RNs). We first formulate the generalized proportional fair (GPF) problem with the aim of providing fairness for all users served by the evolved node B (eNB) and its subordinate RNs. Routing is incorporated into the GPF problem as part of the resource allocation strategy. Assuming traditional proportional fair (PF) scheduling algorithm is executed independently at the eNB and each RN, we propose efficient PF-based routing algorithm aiming at optimizing the GPF objective, which also takes into account the impact of relay link resource allocation. Through system-level simulations, the proposed algorithm is evaluated and compared with both non-relaying and relaying systems with benchmark routing algorithms. Simulation results demonstrate that the proposed algorithm can achieve better system throughput and fairness performance.

Item ID: 52390
Item Type: Conference Item (Research - E1)
ISBN: 978-1-61284-254-7
Funders: National Science Foundation of China (NSFC), National Key Technology R&D (NKTRD) Program of China
Projects and Grants: NSFC Grant 60802082, NKTRD Grant 2009ZX03003-004-01
Date Deposited: 12 Feb 2018 02:34
FoR Codes: 09 ENGINEERING > 0906 Electrical and Electronic Engineering > 090699 Electrical and Electronic Engineering not elsewhere classified @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8901 Communication Networks and Services > 890199 Communication Networks and Services not elsewhere classified @ 100%
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