Optimal Price-Based Power Allocation Algorithm with Quality of Service Constraints in Non-Orthogonal Multiple Access Networks

<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>

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A Novel Price-Based Power Allocation Algorithm in Non-Orthogonal Multiple Access Networks

IEEE Wireless Communications Letters ◽

10.1109/lwc.2017.2768367 ◽

2018 ◽

Vol 7 (2) ◽

pp. 230-233 ◽

Cited By ~ 17

Author(s):

Zhengqiang Wang ◽

Chenchen Wen ◽

Zifu Fan ◽

Xiaoyu Wan

Keyword(s):

Power Allocation ◽

Multiple Access ◽

Access Networks ◽

Allocation Algorithm

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

10.36227/techrxiv.12127032 ◽

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>

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Throughput Maximization Under Quality of Service Constraints: Determination of Optimal Offered Load in Circuit-Switched (Wireless or Nonwireless) Communication Networks

10.21236/ada389277 ◽

2000 ◽

Author(s):

Jeffrey E. Wieselthier ◽

Gam D. Nguyen ◽

Anthony Ephremides

Keyword(s):

Quality Of Service ◽

Communication Networks ◽

Throughput Maximization ◽

Service Constraints

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