NDLI: Load-aware user association with quality of service support in heterogeneous cellular networks

Content Provider	IET Digital Library
Author	Zhou, Tianqing Huang, Yongming Fan, Lixing Yang, Luxi
Abstract	In this study, the authors propose a user association scheme with quality of service support for load balancing in heterogeneous cellular networks (HCNs), which jointly considers user's achievable rate and load level of each BS instead of only utilising the former. To reveal how HCNs should self-organise, the authors formulate it as a network-wide weighted utility maximisation problem. Note that the formulated problem is a non-linear mixed-integer one, and its optimal solutions may be very difficult to be found when it is large-scale. To solve the proposed problem, the authors design a low-complexity distributed algorithm via dual decomposition. Numerical results show that, compared with the range expansion association (REA) and best power association (BPA), the strategy has a higher load balancing level (LBL) and a lower call blocking probability (CBP). Meanwhile, the proposed algorithm occupies a very fast convergence rate when its parameters are set properly.
Starting Page	494
Ending Page	500
Page Count	7
ISSN	17518628
Volume Number	9
e-ISSN	17518636
Issue Number	Issue 4, Mar (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/9/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2014.0731
Journal	IET Communications
Publisher Date	2015-01-05
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Best Power Association BPA Call Blocking Probability CBP Cellular Radio Dual Decomposition HCN Heterogeneous Cellular Network LBL Load Balancing Load Balancing Level Load-aware User Association Low-complexity Distributed Algorithm Mobile Radio System Network-wide Weighted Utility Maximisation Problem Nonlinear Mixed-integer Optimal Solutions Optimisation Optimisation Technique Probability Quality of Service Quality of Service Support Range Expansion Association REA Resource Allocation Statistics
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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