In this paper, we propose a deep learning based approach to design online power control
policies for large EH networks, which are often intractable stochastic control problems. In the …

In this paper, we focus on the optimal relay selection (RS) and ergodic capacity of an energy
harvesting (EH) amplify-and-forward (AF) multi-relay network, where multiple relays …

Practical energy harvesting (EH) based communication systems typically use a battery to
temporarily store the harvested energy prior to its use for communication. The battery …

This paper considers the problem of generating the shortest time division multiple access
(TDMA) schedule for use in rechargeable wireless sensor networks (rWSNs) with …

A link scheduler ensures the transmissions in rechargeable Wireless Sensor Networks
(rWSNs) are collision-free. Hence, it plays a critical role in ensuring high network capacity …

Practical energy harvesting (EH) based communication systems typically use a battery to
temporarily store the harvested energy prior to its use for communication. The batteries can …

The objective of this paper is to design a power control policy that maximizes the long-term
time-averaged sum throughput of a Gaussian multiple access channel (MAC), where the …

This paper considers satellite communication networks where each satellite terminal is
equipped with energy harvesting (EH) devices to supply energy continuously, and randomly …

A cognitive sensor network with energy harvesting (EH-CSN) is a promising paradigm to
address the issues both in spectrum efficiency and in energy efficiency. The cognitive …

A time-slotted multiple access system with bursty data arrivals to the terminals is considered,
where variable sized packets independently arrive in each slot at every transmitter. Each …