Abstract

Non-orthogonal multiple access (NOMA) based wireless caching network (WCN) is considered as a promising technology for next-generation wireless communications since it can significantly improve the spectral efficiency. In this letter, we propose a quality of service (QoS)-oriented dynamic power allocation strategy for NOMA-WCN. In content placement phase, base station (BS) sends multiple files to helpers by allocating different powers according to the different QoS targets of files, for ensuring that all helpers can successfully decode the two most popular files. In content delivery phase, helpers serve two users at the same time by allocating the minimum power to far user according to the QoS requirement, and then all the remaining power is allocated to near user. Hence, our proposed method is able to increase the hit probability and drop the outage probability compared with conventional methods. Simulation results confirm that the proposed power allocation method can significantly improve the caching hit probability and reduce the user outage probability.

Highlights

  • Spectral efficiency is one of the critical design challenges in the sixth generation (6G) wireless communication systems [1]–[3]

  • We propose a dynamic power allocation strategy for Non-orthogonal multiple access (NOMA)-wireless caching network (WCN) based on the quality of service (QoS) orientations of both files and users

  • We have proposed a QoS-oriented power allocation strategy in content stack phase and content deliver phase for NOMA-WCN

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Summary

INTRODUCTION

Spectral efficiency is one of the critical design challenges in the sixth generation (6G) wireless communication systems [1]–[3]. To improve the spectral efficiency, wireless caching techniques have been proposed to divide traffic load at the base station into many content servers [4]–[6]. Et al [18] studied the dynamic power allocation driven by deep neural network of WCN based on NOMA. This method requires a lot of data training while it is hard to obtain in the realistic systems. We propose a dynamic power allocation strategy for NOMA-WCN based on the QoS orientations of both files and users. Our proposed QoS-oriented dynamic power allocation method can be utilized in a realistic NOMA-WCN. Computer simulations are conducted to evaluate the proposed method with respect to hit probability and the outage probability illustrating the effectiveness of the proposed method

PROBLEM FORMULATION
In Content Stack Phase
In Content Deliver Phase
Findings
CONCLUSION
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