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Cooperative scheme for wireless energy harvesting and spectrum sharing in cognitive 5G networks

机译:认知5G网络中无线能量收集和频谱共享的协作方案

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In the wireless world, the devices face a unique challenge of energy scarcity. Unlike the wired systems, there is no continuous wired energy resource available to power the ongoing wireless communication. Instead, the entire system runs on wireless batteries. Taking a step further in this field, the concept of energy harvesting is introduced a while ago. This paper combines the concept of harvesting the energy wirelessly along with sharing of spectrum in a cognitive network system. A cooperative scheme is introduced which aims at increasing the throughput of both Primary Users (PUs) and Secondary Users (SUs). The simulations are done keeping in check with various constraints. This scheme is promising for the upcoming fifth generation (5G) technology since increased throughput directly corresponds to high data rate. We use Particle Swarm Optimization (PSO) algorithm to solve the optimization problem. In order to increase the efficiency of overall system, flexible time structure is also used.
机译:在无线世界中,设备面临能源短缺的独特挑战。与有线系统不同,没有连续的有线能源可用于为正在进行的无线通信供电。相反,整个系统使用无线电池运行。在该领域更进一步,前不久引入了能量收集的概念。本文结合了在认知网络系统中无线收集能量以及频谱共享的概念。引入了一种旨在提高主要用户(PU)和次要用户(SU)吞吐量的协作方案。完成仿真时要注意各种约束。该方案对于即将到来的第五代(5G)技术很有希望,因为增加的吞吐量直接对应于高数据速率。我们使用粒子群优化(PSO)算法来解决优化问题。为了提高整个系统的效率,还使用了灵活的时间结构。

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