A novel hybrid backscatter and conventional algorithm for multi-hop Internet of Things networks,Transactions on Emerging Telecommunications Technologies

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A novel hybrid backscatter and conventional algorithm for multi-hop Internet of Things networks
Transactions on Emerging Telecommunications Technologies ( IF 2.5 ) Pub Date : 2022-09-02 , DOI: 10.1002/ett.4633
Mahmoud Raeisi ₁ , Mehdi Mahdavi ₁ , Ali Mohammad Doost Hosseini ₁

Affiliation

This article investigates a multi-hop cognitive radio network in terms of end-to-end bit delivery. The network exploits backscatter communication (BackCom) and harvest-then-transmit (HTT) mode in a hybrid manner. Such a network can be used in Internet of Things (IoT) applications in which IoT users coexist with a primary network and use the primary spectrum to transmit data in both BackCom and HTT modes. Besides, such users can harvest energy from the primary signals. A novel hybrid backscatter and conventional transmission (HBCT) algorithm is proposed in order to maximize end-to-end bit delivery by jointly optimizing time and power allocations. For this goal, we formulate a nonconvex optimization problem. Next, we transform the problem into a convex one and develop a new analytical formulation by which we calculate the optimal power and time allocation in closed-form equations. The numerical results demonstrate the superiority of HBCT compared with current schemes.

中文翻译：

一种用于多跳物联网网络的新型混合反向散射和常规算法

本文从端到端比特传输的角度研究多跳认知无线电网络。该网络以混合方式利用反向散射通信 (BackCom) 和先收获后传输 (HTT) 模式。这种网络可用于物联网 (IoT) 应用，其中物联网用户与主网络共存，并使用主频谱以 BackCom 和 HTT 模式传输数据。此外，此类用户可以从主要信号中获取能量。为了通过联合优化时间和功率分配来最大化端到端比特传输，提出了一种新颖的混合反向散射和传统传输 (HBCT) 算法。为此，我们制定了一个非凸优化问题。下一个，我们将问题转化为凸问题，并开发了一种新的解析公式，通过该公式我们可以计算封闭式方程中的最佳功率和时间分配。数值结果证明了 HBCT 与当前方案相比的优越性。

更新日期：2022-09-02

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