无线携能中继网络中多种资源联合优化问题研究

Currently, as the rapid development of wireless networks, advanced techniques that can provide convenient energy supply to mobile devices and achieve fast data transmission rates are urgently needed. Wireless information and power transfer (WIPT) technique can provide green and wireless power transfer to mobile devices, and relay technique can support fast data transmission rates. As the combination of these two technologies, wireless relay networks with WIPT have attracted large attention. In this kind of networks, how to utilize the scarce resources to improve network performance is a critical issue. In this project, we will consider the new property of simultaneous energy and information transmissions for this kind of networks, design relay transmission protocols with WIPT, propose joint resource allocation algorithms on the basis of network resource optimization framework, and finally, pursue the feasible solutions that can approach to the system performance limit. This project will be conducted from three aspects, the transmission protocol design for wireless relay networks with WIPT and the optimization of transmission parameters, the tradeoff between transmission rate and harvested energy, and the dynamic energy harvesting and resource optimization for relay networks with WIPT under time variant channel conditions. Then, both numerical simulations and experiment platform based simulations will be carried out to verify the performance of the proposed algorithms. This project aims to propose a set of energy management and resource optimization algorithms, which will provide solid theoretic foundation and technical support for wireless relay transmissions with WIPT.

当今无线网络的迅猛发展迫切需要能够为移动设备提供便利的电能供给、实现数据快速传输的新型技术。无线携能通信技术能够为移动设备提供绿色无线的电能供给，而中继传输技术能够实现数据的快速传输。作为两种技术的融合，无线携能中继网络因此而获得了广泛关注。在这类网络中，如何利用稀缺的网络资源提高系统性能是亟待解决的关键问题。本项目针对该网络中能量流与信息流同步传输的新特性，设计携能中继传输机制，提出网络资源优化框架下的联合资源优化算法，并寻求逼近系统性能极限的可行解。具体内容包括：无线携能中继传输机制的建立及传输参数优化；传输速率与能量之间的折中性能优化；时变信道环境下动态的能量收集与资源优化。在此基础上，我们将利用数值仿真和实验平台仿真相结合的方法，验证算法的性能。通过上述研究，本项目将提出一套适用于无线携能中继网络中的能量管理和资源优化算法，为具有携能性的中继传输方案提供有力的理论依据和技术支撑。

当今无线网络的迅猛发展迫切需要能够为移动设备提供便利的电能供给、实现数据快速传输的新型技术。无线携能通信技术能够为移动设备提供绿色无线的电能供给，而中继传输技术能够实现数据的快速传输。作为两种技术的融合，无线携能中继网络因此而获得了广泛关注。在这类网络中，如何利用稀缺的网络资源提高系统性能是亟待解决的关键问题。本项目针对该网络中能量流与信息流同步传输的新特性，设计携能中继传输机制，提出网络资源优化框架下的联合资源优化算法，并寻求逼近系统性能极限的可行解。该项目的主要研究内容及取得的结果包括：提出了基于不对称时间传输的解码-转发中继携能通信新机制；针对时间切分和功率分割的携能中继通信方案，结合实际的能量消耗模型，分别提出了多种资源联合优化的快速算法，实现传输速率最大化；设计了满足传输速率与能量收集条件的能耗最小化的最优传输策略；提出了适用于时变信道环境，动态的能量和资源联合优化算法，实现系统效用与能耗的折中性能；针对信道存在不确定性的携能多中继网络，提出了实现传输速率最大化的最优化算法。仿真验证了与相关算法相比所设计的算法在性能上的优势。该项目取得的研究结果能够为具有携能性的中继传输方案提供有力的理论依据和技术支撑。

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