Distributed two‐hop proportional fair resource allocation in Long Term Evolution Advanced networks. Issue 3 (12th August 2014)

• Record Type: Journal Article
• Authors: Sun, Chen; Wang, Weidong; Zhang, Yinghai; Wang, Xiaojun
• Is Part Of: Wireless communications and mobile computing. Volume 16:Issue 3(2016)
• Page Start: 264
• Page End: 278
• Publication Date: 2014-08-12
• Subjects: LTE‐advanced -- relay -- proportional fair -- resource allocation; Wireless communication systems -- Periodicals; Mobile communication systems -- Periodicals; 621.38205
• DOI: 10.1002/wcm.2517
• Languages: English
• ISSNs: 1530-8669

Abstract

Abstract: In Long Term Evolution Advanced networks with Type I in‐band half‐duplex decode‐and‐forward relay nodes, proportional fair (PF) resource allocation is aiming at guaranteeing two‐hop match and optimising global proportional fairness. The two‐hop match is defined as equal data rates in the access links and the corresponding backhaul links. The global proportional fairness is between all the user equipments served by the evolved nodes B and the relay nodes. Existing centralised schemes achieve these targets at the cost of enormous channel state information (CSI) exchange. Existing distributed schemes focus on resource partitioning and employ a traditional single‐hop PF scheduling algorithm in access links, with less CSI exchange. The traditional PF scheduling algorithm maximises single‐hop proportional fairness between the data rates in the access links rather than two‐hop proportional fairness between the end‐to‐end data rates in the two hops. In order to reduce CSI exchange and at the same time to maximise the two‐hop proportional fairness, a distributed two‐hop PF resource allocation scheme is proposed. The proposed scheme includes two‐hop PF resource scheduling algorithms and adaptive resource partitioning algorithms, applied in different two‐hop transmission protocols. Simulation results demonstrate the proposed scheme is better than the existing distributed schemes in obtaining better proportional fairness and larger cell‐edge user equipment throughputs. Copyright © 2014 John Wiley & Sons, Ltd. Abstract : In this paper, we focus on a distributed resource allocation problem for maximising the global end‐to‐end proportional fairness in LTE‐Advanced networks with Type 1 relay nodes. A distributed resource allocation scheme is proposed to solve this problem in different two‐hop transmission protocols, including two‐hop proportional fair resource scheduling algorithms and adaptive resource partitioning algorithms. Simulation results demonstrate the effectiveness of the proposed scheme, compared with the traditional proportional fair resource scheduling algorithm and adaptive resource partitioning algorithm.