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首页> 外文期刊>IEEE Transactions on Communications >Joint Time and Energy Allocation for QoS-Aware Throughput Maximization in MIMO-Based Wireless Powered Underground Sensor Networks
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Joint Time and Energy Allocation for QoS-Aware Throughput Maximization in MIMO-Based Wireless Powered Underground Sensor Networks

机译：基于MIMO的无线地下传感器网络中可感知QoS吞吐量最大化的联合时间和能量分配

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摘要

We study the optimal resource allocation in the MIMO-based wireless powered underground sensor network (WPUSN) for throughput maximization. Compared to existing WPUSNs that rely on single-antenna wireless power transfer techniques to transmit geological data in real time, the MIMO-based WPUSN can be adaptively replenished by beamforming. Note that, WPUSN has two remarkable features: the severe wireless path loss and diverse data traffic demands from different underground sensors. Further, by considering the quality of service (QoS) with respect to diverse data traffic demands and communication reliability, the throughput of the network is considered as a crucial measure, which suffers from a significant loss since it has to encounter a seriously unreasonable energy scarcity under the strong-heterogeneity underground environment. To this end, the MIMO is used to eliminate the unreasonable distribution of harvested energy resources and improve effective throughput for WPUSNs. In this paper, we formulate a non-convex optimization problem to maximize the system throughput in MIMO-based WPUSNs with QoS assurance. Specifically, we find there exists no mutual forbearance between the time allocation and the beamforming weight, and transform this non-convex problem to a solvable convex-constrained problem with convex sub-problems. Finally, we give a closed-form solution and show its advantages by simulations.
机译：我们研究了基于MIMO的无线地下传感器网络（WPUSN）中的最佳资源分配，以实现吞吐量最大化。与依靠单天线无线功率传输技术实时传输地质数据的现有WPUSN相比，基于MIMO的WPUSN可以通过波束赋形来自适应补充。请注意，WPUSN具有两个显着特征：严重的无线路径损耗和来自不同地下传感器的各种数据流量需求。此外，通过考虑有关各种数据流量需求和通信可靠性的服务质量（QoS），网络的吞吐量被认为是一项至关重要的措施，由于必须承受严重的不合理的能源短缺，因此遭受了重大损失在非均质性地下环境下为此，MIMO被用于消除所收集能量资源的不合理分配并提高WPUSN的有效吞吐量。在本文中，我们提出了一个非凸优化问题，以在具有QoS保证的基于MIMO的WPUSN中最大化系统吞吐量。具体来说，我们发现时间分配和波束赋形权重之间不存在相互忍受，并将此非凸问题转换为具有凸子问题的可解凸约束问题。最后，我们给出了一种封闭形式的解决方案，并通过仿真显示了其优势。

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