DocumentCode :
1989541
Title :
A proportional fair radio resource allocation for heterogeneous cellular networks with relays
Author :
Qian Li ; Hu, Rose ; Yi Qian ; Geng Wu
Author_Institution :
Dept. of Electr. & Comput. Eng., Utah State Univ., Logan, UT, USA
fYear :
2012
fDate :
3-7 Dec. 2012
Firstpage :
5457
Lastpage :
5463
Abstract :
As a key technology in 4G-LTE, heterogeneous networks can effectively extend the coverage and capacity of wireless networks by deploying multiple micro-nodes on top of the conventional macro base stations (BS). The deployed micro-nodes differ in transmission power and processing capabilities, leading to new challenges in interference management, mobile association, and radio resource management (RRM). In this paper, we consider RRM for heterogeneous networks with relays (RN) where the RNs have full RRM capabilities and can be viewed as micro BSs. A radio resource allocation framework is proposed with the objective to ensure proportional fairness among the UEs. An asymptotically optimal solution is derived by applying the gradient-based scheduling scheme and the Karush-Kuhn-Tucker (KKT) conditions for optimality. To implement RRM in networks with RNs, the resource consumption in the backhaul links, which depends on the demand of the UEs associated with the RN, should be counted at both the BS and the RN. The derived resource allocation scheme gives insight on the optimal radio resource allocation for heterogeneous networks with RNs.
Keywords :
4G mobile communication; Long Term Evolution; gradient methods; mobility management (mobile radio); relay networks (telecommunication); resource allocation; scheduling; 4G-LTE; KKT conditions; Karush-Kuhn-Tucker conditions; RRM; asymptotically optimal solution; backhaul links; gradient-based scheduling optimality; heterogeneous cellular networks; interference management; macrobase stations; micronodes; mobile association; optimal radio resource allocation; proportional fair radio resource allocation; radio resource management; relay networks; resource consumption; transmission power; wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2012 IEEE
Conference_Location :
Anaheim, CA
ISSN :
1930-529X
Print_ISBN :
978-1-4673-0920-2
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2012.6503989
Filename :
6503989
Link To Document :
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