On achieving throughput optimality with energy prediction-based power allocation in 5G networks

2018 ◽  
Vol 29 (10) ◽  
pp. e3438
Author(s):  
Syed Fasih Ali Gardazi ◽  
Rizwan Ahmad ◽  
Hassaan Khaliq Qureshi ◽  
Waqas Ahmed
Keyword(s):  
Power Allocation ◽  
5G Networks ◽  
Energy Prediction ◽  
Throughput Optimality

Energy efficient power allocation for relay-aided D2D communications in 5G networks

2017 ◽  
Vol 14 (6) ◽  
pp. 54-64 ◽  
Author(s):  
Ru Wang ◽  
Jia Liu ◽  
Guopeng Zhang ◽  
Shuanghong Huang ◽  
Ming Yuan
Keyword(s):  
Power Allocation ◽  
Energy Efficient ◽  
5G Networks ◽  
D2d Communications ◽  
Efficient Power

Utility-optimized bandwidth and power allocation for non-orthogonal multiple access in software defined 5G networks

2018 ◽  
Vol 113 ◽  
pp. 75-86 ◽  
Author(s):  
Xiaohong Huang ◽  
Tingting Yuan ◽  
Yan Zhang
Keyword(s):  
Power Allocation ◽  
Multiple Access ◽  
5G Networks

scholarly journals Throughput Analysis for Non-Orthogonal Multiple Access (NOMA)-Based 5G Networks

2019 ◽  
Vol 8 (3S) ◽  
pp. 101-108
Keyword(s):  
Power Allocation ◽  
Interference Cancellation ◽  
Multiple Access ◽  
System Throughput ◽  
Superposition Coding ◽  
5G Networks ◽  
Throughput Analysis ◽  
Radio Access ◽  
5G Network ◽  
High System

Non-Orthogonal Multiple Access (NOMA) scheme is one of the emerging radio access techniques to enhance the system performance for 5G networks. The powerdomain NOMA is one of the basic NOMA schemes that perform superposition coding (SC) at the transmitter and successive interference cancellation (SIC) at the receiver. Power Allocation (PA) plays a significant role in attaining successful SIC and high system throughput. This work is focusing on power allocation to maximize the throughput for NOMA-based 5G network. The objective functions, algorithms, constraints and limitations of the system design in power allocation techniques for NOMA-based 5G networks in terms of throughput analysis are extensively investigated and reported.

scholarly journals Analysis the Efficient Energy Prediction for 5G Wireless Communication Technologies

2019 ◽  
Vol 14 (08) ◽  
pp. 23 ◽  
Author(s):  
Haider TH. Alrikabi ◽  
Abdul Hadi M. Alaidi ◽  
Ahmad Shaker Abdalrada ◽  
Faisal Theyab Abed
Keyword(s):  
Data Transfer ◽  
Energy Optimization ◽  
Energy Parameter ◽  
Sensor Nodes ◽  
5G Networks ◽  
Huge Amount ◽  
Specific Domain ◽  
Energy Prediction ◽  
High Data ◽  
Road Map

With the growth of technological devices, gadgets and utility products in routine life, there is need to escalate the energy optimization with higher degree of accuracy and performance. Earlier the 4G networks were used are quite prominent and the wireless scientists are working ahead towards the direction of 5G. In 5G based next-generation networks there are the projected features to transmit the huge amount of data and signals to the different locations whether to short or distant locations. The energy optimization, preservation and harvesting are key perspectives of research in advance gadgets in which the key focus is to minimize the energy loss and escalate the overall life period time of the network environment. These gadgets include assorted sensor nodes which communicate to each other using clustering and sharing of signals with the overall collaboration on the specific domain. In this manuscript, the mechanisms and methodologies for the energy parameter in the 5G networks are presented so that the greater accuracy and throughput can be obtained. In addition, a comparison has been established among the old classical network generations and the new 5G networks. The comparison is done predictably in terms of data rate, Latency, Mobility, Energy, and Efficiency of Spectrum. These specifications of the various network generations have been compared in order understand and highlight the benefits and advantages of the new coming generation (5G) over the features of the traditional network generations. Moreover, this paper is intended to show the challenges and related issues might be faced to achieve the implementation of the features and specifications of the new generation technology (5G). As a result, the new ( 5G ) will be more efficient and effective in terms of high data transfer rate, low latency, Mobility, and Energy. This is very important because it draws a road map for many exciting technologies and infrastructures including Internet of Things (IOT) , remote control of industrial machinery and robotics, and much faster download speed. Thus, 5G will support carrying huge amount of data faster which will help to support smarter and reliable technology infrastructures and environment. Keywords: 5G, wireless communications, New Radio, Mechanisms Prediction of energy, River Formation Dynamics (RFD), Nature Inspired Approach (NIA), Chanal State Information (CSI).

scholarly journals QoS-Aware Power Allocation for Multi-UAV Aided Networks

2021 ◽  
Vol 2113 (1) ◽  
pp. 012012
Author(s):  
Xiaoya Quan
Keyword(s):  
Power Allocation ◽  
Base Stations ◽  
Programming Algorithm ◽  
5G Networks ◽  
Hardware Cost ◽  
Digital Beamforming ◽  
Coupled Problem ◽  
The Difference ◽  
Emergency Scenarios

Abstract UAV base stations (UAVBS’s) have been proposed as a revolution for the new architecture of 5G networks. The UAVBS’s can be deployed as access points to provide wireless services to users in emergency scenarios. However, it is challenging to solve the highly coupled problem for UAVBS deployment and power allocation. In the meanwhile, the hybrid analog and digital beamforming is leverage to reduce the hardware cost for beamforming in 5G networks. In this work, we first use k-means algorithm to solve the 3D placement of UAVBS’s by exploiting the optimal coverage altitude. Next, power allocation problem is resolved using the difference-of-two-convex functions (D.C.) programming algorithm. Furthermore, the quality of service (QoS) for each user is guaranteed by adjusting the transmitted power. Finally, extensive experiments are conducted to demonstrate the feasibility of the proposed algorithm.

Mixed Uplink, Downlink Channel Allocation and Power Allocation Schemes for 5G Networks

2020 ◽  
Vol 112 (4) ◽  
pp. 2253-2274
Author(s):  
Rishav Dubey ◽  
Pavan Kumar Mishra ◽  
Sudhakar Pandey
Keyword(s):  
Power Allocation ◽  
Channel Allocation ◽  
5G Networks

scholarly journals Spectrum Sharing and Power Allocation Optimised Multi-hop Multi-path D2D Video Delivery in Beyond 5G Networks

2021 ◽  
pp. 1-1
Author(s):  
Quang-Nhat Tran ◽  
Nguyen-Son Vo ◽  
Minh-Phung Bui ◽  
Thanh-Minh Phan ◽  
Quynh-Anh Nguyen ◽  
...  
Keyword(s):  
Power Allocation ◽  
Spectrum Sharing ◽  
Video Delivery ◽  
5G Networks

scholarly journals Energy-Efficient Power Allocation in Multitier 5G Networks Using Enhanced Online Learning

2017 ◽  
Vol 66 (12) ◽  
pp. 11086-11097 ◽  
Author(s):  
Ismail AlQerm ◽  
Basem Shihada
Keyword(s):  
Online Learning ◽  
Power Allocation ◽  
Energy Efficient ◽  
5G Networks ◽  
Efficient Power
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