Abstract

In this paper, we investigate and analyze a two-user single decode-and-forward (DF) relay network with ambient backscatter communication capabilities, where the user nodes and the relay node are equipped with a wireless-powered device instead of embedded power supply. The DF relay and the user close to it are integrated into one device to reduce the deployment cost. We study the network throughput maximization problem by optimizing its resource allocation scheme and formulate an optimization problem for it. To solve this non-convex complicated multiple parameters joint optimization problem, a multi-step iterative optimization scheme (MSIO) is presented in this paper, which decomposes the original problem into two non-convex sub-problems. By exploiting the properties of their constrains, we convert them to the convex problems. Then, their optimal solutions are solved sequentially by the use of the convex optimization method. Finally, the iterative algorithm is employed to obtain the optimal solution of the original problem. The numerical results demonstrate the superiority of MSIO in improving system throughput.

Highlights

  • The fifth generation (5G) mobile communication networks are expected to provide high data rates for enabling smart cities and homes through the massive deployment of low-power and low-cost communication devices within the coverage of the macro base station [1]

  • The simulation duration is ten time frames and the channel model between arbitrary node m and node n is modeled as hm,n 2 = ξ gm,n 2 dm−,3n [16], where ξ is shadow fading (SF) factor which follows a log-normal distribution with location value of 0 and standard deviation ( = 5 dB for the backscatter user (BU) and AP link and = 0 dB for the other links); gm,n ∼ CN (0, 1) denotes the channel coefficient between two nodes m, n and is set as gm,n = 1 for simplicity [16]; dm,n is the distance between node m and node n

  • The statistical throughput is the total data bits received by AP in ten second which contains ten time frames, and the statistical time for transmitting M bits data is the average time taken by M bits data transported from BU to AP

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Summary

INTRODUCTION

The fifth generation (5G) mobile communication networks are expected to provide high data rates for enabling smart cities and homes through the massive deployment of low-power and low-cost communication devices within the coverage of the macro base station [1]. C. Zheng et al.: Optimal Resource Allocation for Two-User and Single-DF-Relay Network With Ambient Backscatter. The literature [16] studied single-user singleAF-relay backscatters communication system and exploited four fundamental optimization problem to achieve the maximum throughput. We propose a two-user single-DF-relay two-hop backscatter communication network model. The DF relay and the user close to it are integrated into one device to reduce deployment cost In this model, both RU and BU have the backscatter communication capability. MSIO scheme is presented to optimize the two-user single-DF-relay two-hop backscatter communication network for maximizing its system throughput. It first decomposes the original optimization problem into two non-convex sub-problems.

RELATED WORK
SYSTEM MODEL
THROUGHPUT MAXIMIZATION ANALYSIS
THROUGHPUT MAXIMIZATION RESOURCE ALLOCATION
5: Substitute t
12: Calculate t0D2
CONCLUSION
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