Dynamic power allocation strategy for uplink non-orthogonal multiple access systems

2021 ◽  
Author(s):  
Xingwei Wang ◽  
Tianheng Xu ◽  
Ting Zhou ◽  
Honglin Hu
Keyword(s):  
Power Allocation ◽  
Multiple Access ◽  
Allocation Strategy ◽  
Dynamic Power

scholarly journals QoS-Oriented Dynamic Power Allocation in NOMA-based Wireless Caching Networks

2020 ◽  
Author(s):  
Yue Yin ◽  
Miao Liu ◽  
Guan Gui ◽  
Haris Gacanin ◽  
Fumiyuki Adachi
Keyword(s):  
Quality Of Service ◽  
Power Allocation ◽  
Spectral Efficiency ◽  
Multiple Access ◽  
Base Station ◽  
System Efficiency ◽  
Allocation Strategy ◽  
Dynamic Power ◽  
Qos Requirement

<div>Non-orthogonal multiple access (NOMA) based</div><div>wireless caching network (WCN) is considered as one of the most</div><div>promising technologies for next-generation wireless communications</div><div>since it can significantly improve the spectral efficiency.</div><div>In this paper, we propose a quality of service (QoS)-oriented</div><div>dynamic power allocation strategy for NOMA-WCN. In content</div><div>stack phase, the base station sends multiple files to the content</div><div>servers by allocating different powers according to the different</div><div>QoS targets of files, for ensuring that all content servers can</div><div>successfully decode the two most popular files. In content deliver</div><div>phase, the content servers serve two users at the same time</div><div>by allocating the minimum power to the far user according</div><div>to the QoS requirement, and then all the remaining power is</div><div>allocated to the near user. Hence, the proposed power allocation</div><div>scheme is able to increase the hit probability and drop the outage</div><div>probability compared with conventional method. Simulation</div><div>results confirm that the proposed power allocation method can</div><div>significantly improve the caching hit probability and reduce the</div><div>user outage probability. It is also shown that this strategy can</div><div>reduce the user delay time, improve the system efficiency and</div><div>the capacity.</div>

scholarly journals QoS-Oriented Dynamic Power Allocation in NOMA-based Wireless Caching Networks

2020 ◽  
Author(s):  
Yue Yin ◽  
Miao Liu ◽  
Guan Gui ◽  
Haris Gacanin ◽  
Fumiyuki Adachi
Keyword(s):  
Quality Of Service ◽  
Power Allocation ◽  
Spectral Efficiency ◽  
Multiple Access ◽  
Base Station ◽  
System Efficiency ◽  
Allocation Strategy ◽  
Dynamic Power ◽  
Qos Requirement

<div>Non-orthogonal multiple access (NOMA) based</div><div>wireless caching network (WCN) is considered as one of the most</div><div>promising technologies for next-generation wireless communications</div><div>since it can significantly improve the spectral efficiency.</div><div>In this paper, we propose a quality of service (QoS)-oriented</div><div>dynamic power allocation strategy for NOMA-WCN. In content</div><div>stack phase, the base station sends multiple files to the content</div><div>servers by allocating different powers according to the different</div><div>QoS targets of files, for ensuring that all content servers can</div><div>successfully decode the two most popular files. In content deliver</div><div>phase, the content servers serve two users at the same time</div><div>by allocating the minimum power to the far user according</div><div>to the QoS requirement, and then all the remaining power is</div><div>allocated to the near user. Hence, the proposed power allocation</div><div>scheme is able to increase the hit probability and drop the outage</div><div>probability compared with conventional method. Simulation</div><div>results confirm that the proposed power allocation method can</div><div>significantly improve the caching hit probability and reduce the</div><div>user outage probability. It is also shown that this strategy can</div><div>reduce the user delay time, improve the system efficiency and</div><div>the capacity.</div>

scholarly journals PSO-Based UAV Deployment and Dynamic Power Allocation for UAV-Enabled Uplink NOMA Network

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Sharief Abdel-Razeq ◽  
Hazim Shakhatreh ◽  
Ali Alenezi ◽  
Ahmad Sawalmeh ◽  
Muhammad Anan ◽  
...  
Keyword(s):  
Power Allocation ◽  
Pso Algorithm ◽  
Base Stations ◽  
Allocation Strategy ◽  
Dynamic Power ◽  
User Pairing ◽  
Data Rates ◽  
Fixed Power ◽  
Sum Rate ◽  
The One

Recently, unmanned aerial vehicles (UAVs) have been used as flying base stations (BSs) to take advantage of line-of-sight (LOS) connectivity and efficiently enable fifth-generation (5G) and cellular network coverage and data rates. On the other hand, nonorthogonal multiple access (NOMA) is a promising technique to help achieve unprecedented requirements by simultaneously allowing multiple users to send data over the same resource block. In this paper, we study a UAV-enabled uplink NOMA network, where the UAV collects data from ground users while flying at a certain altitude. Unlike all existing work on this topic, this study consists of two stages. In the first stage, we use the well-known Particle Swarm Optimization (PSO) algorithm, which is a metaheuristic algorithm, to deploy the UAV in 3D space, so that the users’ sum pathlosses are minimized. In the second stage, we investigate the user pairing problem and propose a dynamic power allocation technique for determining the user’s power allocation coefficients, as well as a closed-form equation for the ergodic sum-rate. Results show our PSO-based algorithm prevailing over the Genetic Algorithm (GA) and random deployment methods. The proposed dynamic power allocation strategy maximizes the network’s ergodic sum-rate and outperforms the fixed power allocation strategy. Additionally, the results reveal that the best pairing scheme is the one that keeps uniform channel gain difference in the same pair.

scholarly journals Outage Performance for Dynamic Power Allocation in Hybrid Non-Orthogonal Multiple Access Systems

2016 ◽  
Vol 20 (8) ◽  
pp. 1695-1698 ◽  
Author(s):  
Zheng Yang ◽  
Zhiguo Ding ◽  
Pingzhi Fan ◽  
Zheng Ma
Keyword(s):  
Power Allocation ◽  
Multiple Access ◽  
Dynamic Power ◽  
Outage Performance

scholarly journals Cache-enabled physical-layer secure game against smart uAV-assisted attacks in b5G NOMA networks

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Chao Li ◽  
Zihe Gao ◽  
Junjuan Xia ◽  
Dan Deng ◽  
Liseng Fan
Keyword(s):  
Power Allocation ◽  
Secure Communication ◽  
Multiple Access ◽  
Dynamic Game ◽  
Physical Layer ◽  
Allocation Strategy ◽  
Aerial Vehicle ◽  
Simulation Results ◽  
Multiple Attack ◽  
Allocation Factor

AbstractThis paper investigates cache-enabled physical-layer secure communication in a no-orthogonal multiple access (NOMA) network with two users, where an intelligent unmanned aerial vehicle (UAV) is equipped with attack module which can perform as multiple attack modes. We present a power allocation strategy to enhance the transmission security. To this end, we propose an algorithm which can adaptively control the power allocation factor for the source station in NOMA network based on reinforcement learning. The interaction between the source station and UAV is regarded as a dynamic game. In the process of the game, the source station adjusts the power allocation factor appropriately according to the current work mode of the attack module on UAV. To maximize the benefit value, the source station keeps exploring the changing radio environment until the Nash equilibrium (NE) is reached. Moreover, the proof of the NE is given to verify the strategy we proposed is optimal. Simulation results prove the effectiveness of the strategy.

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