5G Multi-Service Scenarios-Oriented Resource Allocation and NOMA Pairing Scheme for Energy Efficiency Maximization

2020 ◽  
Author(s):  
Rong Chai ◽  
Pengfei Ma ◽  
Fei Zou
Keyword(s):  
Resource Allocation ◽  
Energy Efficiency

scholarly journals Resource Allocation for Joint Transmitter and Receiver Energy Efficiency Maximization in Downlink OFDMA Systems

2015 ◽  
Vol 63 (2) ◽  
pp. 416-430 ◽  
Author(s):  
Qingqing Wu ◽  
Wen Chen ◽  
Meixia Tao ◽  
Jun Li ◽  
Hongying Tang ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Energy Efficiency

scholarly journals Energy-Efficient Incentives Resource Allocation Scheme in Cooperative Communication System

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Zi Yan Liu ◽  
Pan Mao ◽  
Li Feng ◽  
Shi Mei Liu
Keyword(s):  
Resource Allocation ◽  
Energy Efficiency ◽  
Cooperative Communication ◽  
Communication System ◽  
Allocation Scheme ◽  
Network Nodes ◽  
Intelligent Water Drops Algorithm ◽  
Water Drops ◽  
Resource Allocation Scheme ◽  
Qos Performance

Appropriate resource allocation has great significance to enhance the energy efficiency (EE) for cooperative communication system. The objective is to allocate the resource to maximize the energy efficiency in single-cell multiuser cooperative communication system. We formulate this problem as subcarrier-based resource allocation and solve it with path planning in graph theory. A two-level neural network model is designed, in which the users and subcarrier are defined as network nodes. And then we propose an improved intelligent water drops algorithm combined with Genetic Algorithm; boundary condition and initialization rules of path soil quantity are put forward. The simulation results demonstrate that the proposed resource allocation scheme can effectively improve the energy efficiency and enhance QoS performance.

Improving the Energy Efficiency in Cloud Computing Data Centres Through Resource Allocation Techniques

2017 ◽  
pp. 211-236 ◽  
Author(s):  
Belén Bermejo ◽  
Sonja Filiposka ◽  
Carlos Juiz ◽  
Beatriz Gómez ◽  
Carlos Guerrero
Keyword(s):  
Resource Allocation ◽  
Energy Efficiency ◽  
Cloud Computing ◽  
Data Centres

scholarly journals Novel Resource Allocation Techniques for Downlink Non-Orthogonal Multiple Access Systems

2020 ◽  
Vol 10 (17) ◽  
pp. 5892 ◽  
Author(s):  
Zuhura J. Ali ◽  
Nor K. Noordin ◽  
Aduwati Sali ◽  
Fazirulhisyam Hashim ◽  
Mohammed Balfaqih
Keyword(s):  
Resource Allocation ◽  
Energy Efficiency ◽  
Power Allocation ◽  
Multiple Access ◽  
High Capacity ◽  
Kkt Conditions ◽  
Optimal Power Allocation ◽  
User Pairing ◽  
Optimal Power ◽  
Sum Rate

Non-orthogonal multiple access (NOMA) plays an important role in achieving high capacity for fifth-generation (5G) networks. Efficient resource allocation is vital for NOMA system performance to maximize the sum rate and energy efficiency. In this context, this paper proposes optimal solutions for user pairing and power allocation to maximize the system sum rate and energy efficiency performance. We identify the power allocation problem as a nonconvex constrained problem for energy efficiency maximization. The closed-form solutions are derived using Karush–Kuhn–Tucker (KKT) conditions for maximizing the system sum rate and the Dinkelbach (DKL) algorithm for maximizing system energy efficiency. Moreover, the Hungarian (HNG) algorithm is utilized for pairing two users with different channel condition circumstances. The results show that with 20 users, the sum rate of the proposed NOMA with optimal power allocation using KKT conditions and HNG (NOMA-PKKT-HNG) is 6.7% higher than that of NOMA with difference of convex programming (NOMA-DC). The energy efficiency with optimal power allocation using DKL and HNG (NOMA-PDKL-HNG) is 66% higher than when using NOMA-DC.

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