Resource Partitioning and User Association With Sleep-Mode Base Stations in Heterogeneous Cellular Networks

2015 ◽  
Vol 14 (7) ◽  
pp. 3780-3793 ◽  
Author(s):  
Chenlong Jia ◽  
Teng Joon Lim
Keyword(s):  
Cellular Networks ◽  
Resource Partitioning ◽  
Base Stations ◽  
Sleep Mode ◽  
User Association ◽  
Heterogeneous Cellular Networks

scholarly journals EE-eICIC: Energy-Efficient Optimization of Joint User Association and ABS for eICIC in Heterogeneous Cellular Networks

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Jie Zheng ◽  
Ling Gao ◽  
Hai Wang ◽  
Jinping Niu ◽  
Xiaoya Li ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Low Power ◽  
Cellular Networks ◽  
Interference Management ◽  
Algorithm Design ◽  
Base Stations ◽  
Superior Performance ◽  
User Association ◽  
Heterogeneous Cellular Networks ◽  
Generalized Fractional Programming

The densification and expansion of heterogeneous cellular networks (HetNets) pose new challenges on interference management and reduction of energy consumption. The 3GPP has proposed enhanced intercell interference coordination (eICIC) by making a macrocell silent in almost blank subframes (ABSs) to mitigate interference for low power base stations (BSs) in HetNets. However, energy efficiency (EE) is very crucial for the deployment of a large number of low power nodes as they consume a lot of energy. In this work, we develop a novel EE-eICIC algorithm to determine the amount of ABSs and user equipment (UE) that should associate with picocells or macrocells from energy efficiency perspective. Due to the nonsmooth and mixed combinatorial features of this formulation, we focus on a suboptimal algorithm design. Using generalized fractional programming and the convex programming theory, we propose an iterative and relaxed-rounding algorithm to solve the problem. Numerical results illustrate that the proposed EE-eICIC algorithm achieves superior performance in comparison with state-of-the-art methods in terms of energy efficiency of both system and user.

Energy-efficient user association in downlink heterogeneous cellular networks

2016 ◽  
Vol 10 (13) ◽  
pp. 1553-1561 ◽  
Author(s):  
Tianqing Zhou ◽  
Yongming Huang ◽  
Luxi Yang
Keyword(s):  
Cellular Networks ◽  
Energy Efficient ◽  
User Association ◽  
Heterogeneous Cellular Networks
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