论文标题
在多服务无线网络中进行旋转的资源分配
Resource Allocation for SWIPT in Multi-Service Wireless Networks
论文作者
论文摘要
同时提供无线信息和电力传输(SWIPT)的新型资源分配是一种方法,不仅是帮助下一代移动数据网络效率提高和访问信息的一种手段,还可以通过提供绿色能源来最大程度地减少网络的整体功耗。首先,提出了一个独特的体系结构,该体系结构从接入点(AP)中收集能量,而无需接收器需要分离器。在拟议的系统模型中,频谱的一部分用于信息解码(ID),而剩余部分则用于在正交频分多访问(OFDMA)网络中进行能量收集(EH)。为了调查性能增益,提出了一个优化问题,以最大化多用户单细胞下行链路(DL)网络的收获能量,并满足所有用户的最低数据速率要求。通过使用优化工具获得了基本问题的本地最佳解决方案,该解决方案本质上是非凸的,这本质上是非凸的。其次,提出的系统模型得到了改进,以研究基于使用SWIPT的OFDMA多用户多用户系统中的分离接收器体系结构的资源分配问题,以最大程度地提高吞吐量。共同优化子载体分配和功率分配的结果问题是一个难以解决的混合企业非线性问题(MINLP)。第三,探索了基于接收器天线的最先进的收获技术,该技术基于接收器天线选择具有共同定位的架构,以优化启用了启用SWIPT的多电池多用户网络的能源效率(EE)。这被称为广义天线转换技术。
The novel resource allocation for simultaneous wireless information and power transfer (SWIPT) is presented as a means of not only helping to communicate and access information with increasing efficiency in the next generation of mobile data networks but also contributing to minimizing a network's overall power consumption by providing a green energy source. First, a unique architecture is proposed that harvests energy from an access point (AP) without the receiver needing a splitter. In the proposed system model, a portion of the spectrum is used for information decoding (ID) while the remaining portion is exploited for energy harvesting (EH) in an orthogonal frequency division multiple access (OFDMA) network. To investigate the performance gain, an optimization problem is formulated that maximizes the harvested energy of a multi-user single-cell OFDMA downlink (DL) network with SWIPT and also satisfies a minimum data-rate requirement for all users. A locally optimal solution for the underlying problem, which is essentially non-convex due to the coupling of the integer variable, is obtained by using optimization tools. Second, the proposed system model is improved in order to investigate the resource allocation problem of needing to maximize throughput based on the separated receiver architecture in an OFDMA multi-user multi-cell system that uses SWIPT. The resulting problem, which jointly optimizes the subcarrier assignment and power allocation, is a mixed-integer non-linear problem (MINLP) that is difficult to solve. Third, a state-of-the-art harvesting technique at the receiver that is based on receiver antenna selection with a co-located architecture is explored to optimize the energy efficiency (EE) of a SWIPT-enabled multi-cell multi-user OFDMA network. This is referred to as a Generalized Antenna-Switching Technique.