Energy Efficiency of Backhauling Options for Future Heterogeneous Networks

2019 ◽  
pp. 169-194
Author(s):  
Nasir Faruk ◽  
Abubakar Abdulkarim ◽  
Nazmat T. Surajudeen-Bakinde ◽  
Segun I. Popoola
Keyword(s):  
Energy Efficiency ◽  
Heterogeneous Networks

Energy efficiency maximization for beyond 5G NOMA-enabled heterogeneous networks

2021 ◽  
Author(s):  
Wali Ullah Khan ◽  
Xingwang Li ◽  
Asim Ihsan ◽  
Zain Ali ◽  
Basem M. Elhalawany ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Heterogeneous Networks

Spectral and energy efficiency analysis of uplink heterogeneous networks with small-cells on edge

2014 ◽  
Vol 13 ◽  
pp. 27-41 ◽  
Author(s):  
Muhammad Zeeshan Shakir ◽  
Hina Tabassum ◽  
Khalid A. Qaraqe ◽  
Erchin Serpedin ◽  
Mohamed-Slim Alouini
Keyword(s):  
Energy Efficiency ◽  
Heterogeneous Networks ◽  
Efficiency Analysis ◽  
Small Cells ◽  
Energy Efficiency Analysis

Network Virtualization with Energy Efficiency Optimization for Wireless Heterogeneous Networks

2019 ◽  
Vol 18 (10) ◽  
pp. 2386-2400 ◽  
Author(s):  
Tai Manh Ho ◽  
Nguyen H. Tran ◽  
Long Bao Le ◽  
Zhu Han ◽  
S.M Ahsan Kazmi ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Heterogeneous Networks ◽  
Network Virtualization ◽  
Efficiency Optimization ◽  
Wireless Heterogeneous Networks

Energy Efficiency Optimization for Hybrid NOMA based Beyond 5G Heterogeneous Networks

2021 ◽  
Author(s):  
Umar Ghafoor ◽  
Mudassar Ali ◽  
Humayun Zubair Khan ◽  
Adil Masood Siddiqui ◽  
Muhammad Naeem ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Heterogeneous Networks ◽  
Efficiency Optimization

Energy efficiency in heterogeneous networks

2015 ◽  
Author(s):  
Jie Tang ◽  
Daniel K. C. So ◽  
Emad Alsusa ◽  
Khairi Hamdi ◽  
Arman Shojaeifard
Keyword(s):  
Energy Efficiency ◽  
Heterogeneous 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.

Energy Efficiency of Heterogeneous Networks in LTE-Advanced

2011 ◽  
Vol 69 (1) ◽  
pp. 105-113 ◽  
Author(s):  
Chadi Khirallah ◽  
John S. Thompson
Keyword(s):  
Energy Efficiency ◽  
Heterogeneous Networks ◽  
Lte Advanced

Energy efficiency of joint base station and relay sleeping in heterogeneous networks

2017 ◽  
Vol 11 (18) ◽  
pp. 2721-2728 ◽  
Author(s):  
Erfan Yousefi ◽  
Mohsen Eslami
Keyword(s):  
Energy Efficiency ◽  
Heterogeneous Networks ◽  
Base Station
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