Paper Info
Title
Dynamic Power Control for NOMA Transmissions in Wireless Caching Networks
Abstract
Non-orthogonal multiple access (NOMA) technique is capable of improving the efficiency of delivering and pushing contents in wireless caching networks. However, due to the differences of the data volume and the channel condition, the static power control schemes cannot fully explore the potential of NOMA. To solve this problem, dynamic power control for NOMA transmissions in wireless caching networks is studied in this letter, which can be adjusted based on the status of content transmissions. In particular, we focus on minimizing the transmission delay with the considerations of each user’s transmission deadline and the total power constraint. An iterative algorithm is first proposed to approach the optimal solution of dynamic power control. Then a deep neural network (DNN)-based method is designed to keep a balance between the performance and the computational complexity. Finally, Monte-Carlo simulations are provided for verifications.
Year
DOI
Venue
2019
10.1109/LWC.2019.2923410
IEEE Wireless Communications Letters
Keywords
Field
DocType
Delays,Power control,NOMA,Heuristic algorithms,Wireless communication,Resource management,Deep learning
Noma,Wireless,Iterative method,Transmission delay,Power control,Computer network,Communication channel,Artificial intelligence,Deep learning,Mathematics,Computational complexity theory
Journal
Volume
Issue
ISSN
8
5
2162-2337
Citations 
PageRank 
References 
5
0.37
0
Authors
6
Name
Order
Citations
PageRank
Yaru Fu18710.53
Wanli Wen2231.66
Zhongyuan Zhao346836.64
Tony Q. S. Quek43621276.75
Shi Jin53744274.70
Fu-Chun Zheng652268.29