Hybrid Access Design for Femtocell Networks with Dynamic User Association and Power Control

2012 ◽  
Author(s):  
Ha Nguyen Vu ◽  
Long Bao Le
Keyword(s):  
Power Control ◽  
User Association ◽  
Femtocell Networks ◽  
Hybrid Access

Robust power control based on hierarchical game for hybrid access femtocell networks

2019 ◽  
Vol 13 (11) ◽  
pp. 1607-1614 ◽  
Author(s):  
Zhixin Liu ◽  
Weimin Wang ◽  
Yazhou Yuan ◽  
Xinbin Li ◽  
Xinping Guan
Keyword(s):  
Power Control ◽  
Femtocell Networks ◽  
Hybrid Access ◽  
Robust Power Control

Energy-Aware Joint User Scheduling and Power Control for Two-Tier Femtocell Networks: A Hierarchical Game Approach

2018 ◽  
Vol 12 (3) ◽  
pp. 2533-2544 ◽  
Author(s):  
Youming Sun ◽  
Jinlong Wang ◽  
Fenggang Sun ◽  
Jian Zhang
Keyword(s):  
Power Control ◽  
User Scheduling ◽  
Energy Aware ◽  
Femtocell Networks

Power Control Approaches in Femtocell Networks

2018 ◽  
Author(s):  
Brahmi Ibtissem ◽  
Mohamamd S. Obaidat ◽  
Mhiri Fadoua ◽  
Faozi Zarai
Keyword(s):  
Power Control ◽  
Femtocell Networks

scholarly journals User Association and Power Control for Energy Efficiency Maximization in M2M-Enabled Uplink Heterogeneous Networks with NOMA

Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5307 ◽  
Author(s):  
Shuang Zhang ◽  
Guixia Kang
Keyword(s):  
Energy Efficiency ◽  
Power Control ◽  
Heterogeneous Networks ◽  
Base Station ◽  
Sequential Optimization ◽  
User Association ◽  
Decode And Forward ◽  
Vast Number ◽  
Machine Type ◽  
Machine Type Communication

To support a vast number of devices with less energy consumption, we propose a new user association and power control scheme for machine to machine enabled heterogeneous networks with non-orthogonal multiple access (NOMA), where a mobile user (MU) acting as a machine-type communication gateway can decode and forward both the information of machine-type communication devices and its own data to the base station (BS) directly. MU association and power control are jointly considered in the formulated as optimization problem for energy efficiency (EE) maximization under the constraints of minimum data rate requirements of MUs. A many-to-one MU association matching algorithm is firstly proposed based on the theory of matching game. By taking swap matching operations among MUs, BSs, and sub-channels, the original problem can be solved by dealing with the EE maximization for each sub-channel. Then, two power control algorithms are proposed, where the tools of sequential optimization, fractional programming, and exhaustive search have been employed. Simulation results are provided to demonstrate the optimality properties of our algorithms under different parameter settings.

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