In this paper, we propose efficient wireless power transfer (WPT) policies for various practical scenarios in wirelessly powered communication networks (WPCNs). First, we consider WPT from an energy access point (E-AP) to multiple energy receivers (E-Rs). We formulate the problem of maximizing the total average received power of the E-Rs subject to power constraints of the E-AP, which is a non-convex stochastic optimization problem. Using eigenvalue decomposition techniques, we derive a closed-form expression for the optimal policy, which requires the distribution of the channel state information (CSI) in the network. We then propose a near-optimal policy that does not require this knowledge and prove that its optimality gap can be decreased at the cost of increment in its convergence time. Next, we consider fairness among the E-Rs and propose a quality of service (QoS) aware fair policy that provides fairness and guarantees the required QoS of each E-R. Finally, we study a WPCN where the E-Rs utilize their received energy to transmit information to the E-AP. We maximize a generic fair network utility under the E-Rs’ QoS constraints and the E-AP’s power constraints. Numerical results show a significant improvement of $O(\log {N})$ in the total throughput compared to the state-of-the-art baselines.

中文翻译：

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无线供电通信网络的高效、公平和 QoS 感知策略

在本文中，我们为无线供电通信网络 (WPCN) 中的各种实际场景提出了有效的无线功率传输 (WPT) 策略。首先，我们考虑从能量接入点 (E-AP) 到多个能量接收器 (E-R) 的 WPT。我们制定了在 E-AP 功率约束下最大化 E-R 的总平均接收功率的问题，这是一个非凸随机优化问题。使用特征值分解技术，我们推导出最优策略的封闭形式表达式，这需要网络中信道状态信息 (CSI) 的分布。然后，我们提出了一种不需要这些知识的接近最优的策略，并证明其最优性差距可以以其收敛时间的增加为代价来减小。下一个，我们考虑 E-R 之间的公平性，并提出了一种服务质量 (QoS) 感知公平策略，该策略提供公平性并保证每个 ER 所需的 QoS。最后，我们研究了一个 WPCN，其中 E-R 利用其接收到的能量将信息传输到 E-AP。我们在 E-R 的 QoS 约束和 E-AP 的功率约束下最大化通用公平网络效用。数值结果表明，与最先进的基线相比，总吞吐量显着提高了 $O(\log {N})$。