scholarly journals Optimal Cell Load and Throughput in Green Small Cell Networks With Generalized Cell Association

2016 ◽  
Vol 34 (5) ◽  
pp. 1058-1072 ◽  
Author(s):  
Chun-Hung Liu ◽  
Li-Chun Wang
Keyword(s):  
Small Cell ◽  
Small Cell Networks ◽  
Cell Association ◽  
Cell Networks

scholarly journals QoE-Aware Downlink User-Cell Association in Small Cell Networks: A Transfer-matching Game Theoretic Solution With Peer Effects

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 10029-10041 ◽  
Author(s):  
Hongxiang Shao ◽  
Hangsheng Zhao ◽  
Youming Sun ◽  
Jianzhao Zhang ◽  
Yuhua Xu
Keyword(s):  
Peer Effects ◽  
Small Cell ◽  
Small Cell Networks ◽  
Cell Association ◽  
Game Theoretic ◽  
Matching Game ◽  
Theoretic Solution ◽  
Cell Networks

scholarly journals IMPSO and Linear Programming-Based Energy-Efficient Cell Association Algorithm for Backhaul-Constrained Ultra-Dense Small-Cell Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Huilin Jiang ◽  
Wenxiang Zhu ◽  
Xiang Song ◽  
Guilu Wu
Keyword(s):  
Energy Efficiency ◽  
Linear Programming ◽  
Optimization Problem ◽  
Small Cell ◽  
Small Cells ◽  
Small Cell Networks ◽  
Efficiency Optimization ◽  
Cell Association ◽  
Backhaul Link ◽  
Cell Networks

This paper studies the energy efficiency optimization problem for coordinated multipoint (CoMP)-enabled and backhaul-constrained ultra-dense small-cell networks (UDNs). Energy efficiency is an eternal topic for future wireless communication networks; however, taking actual bottleneck of the backhaul link and the coordinated network architecture into consideration, it is difficult to find an effective way to improve the energy efficiency of the network. Aiming at this problem, we propose to combine cell association, subchannel allocation, backhaul resource allocation, and sleep/on of the cells together to develop an optimization algorithm for energy efficiency in UDN and then solve the formulated energy efficiency optimization problem by means of improved modified particle swarm optimization (IMPSO) and linear programming in mathematics. Simulation results indicate that nearly 13 % energy cost saving and 21 % energy efficiency improvement can be obtained by combining IMPSO with linear programming, and the backhaul link data rate can be improved by 30 % as the number of small cells increases. From the results, it can be found that by combining IMPSO with linear programming, the proposed algorithm can improve the network energy efficiency effectively at the expense of limited complexity.

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