NDLI: A load fairness aware cell association for centralized heterogeneous networks

Content Provider	IEEE Xplore Digital Library
Author	Hongyan Du Yiqing Zhou Lin Tian Xiaodong Wang Zhengang Pan Jinglin Shi Yao Yuan
Copyright Year	2015
Description	Author affiliation: Beijing Key Lab. of Mobile Comput. & Pervasive Device, Beijing, China (Hongyan Du; Yiqing Zhou; Lin Tian; Jinglin Shi; Yao Yuan) \|\| China Mobile Res. Inst., Beijing, China (Zhengang Pan) \|\| Electr. Eng. Dept., Columbia Univ., New York, NY, USA (Xiaodong Wang)
Abstract	Load balancing (LB) is important in heterogeneous networks (HetNet). This paper investigates effective cell association schemes for LB. Considering the centralized cellular network architecture with Super Base Stations (SBS), a centralized cell association scheme is proposed, where the calculations are all performed in the SBS and information exchange within the SBS is convenient. There is also no need for the users to feed back information. Thus the signaling overhead is reduced a lot. Moreover, to alleviate the sensitiveness to load changes, the load fairness index (LFI) is defined. The proposed scheme is not performed until the LFI is lower than a given threshold. It is verified by simulations that the proposed centralized cell association scheme can adjust the cell-specific bias according to the cell load and provide better geometry mean rate (GMR) and outage probability (OP) over the comparing schemes. Moreover, with the introduction of LFI, the number of LB performed can be effectively reduced with a lower LFI threshold, however, the system performance such as GMR and OP also degrades. Therefore, an appropriate LFI threshold is needed to balance the system performance and complexity.
Starting Page	2178
Ending Page	2183
File Size	951523
Page Count	6
File Format	PDF
e-ISBN	9781467364324
DOI	10.1109/ICC.2015.7248648
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-08
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer architecture Microprocessors Macrocell networks Game theory System performance Load modeling Mobile computing Evolutionary Equilibrium Heterogeneous Networks Load Balancing User Association Centralized Base Station
Content Type	Text
Resource Type	Article

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