# Self-sufficient Receiver with Wireless Energy Transfer in a Multi-access Network

## TL;DR

This paper proposes a dynamic control algorithm for an energy self-sufficient receiver in a multi-access network, optimizing its goodput by balancing energy harvesting and decoding based on real-time channel and battery data.

## Contribution

It introduces an asymptotically optimal control algorithm for managing energy and data decoding in a wireless network with energy harvesting constraints.

## Key findings

- The algorithm maximizes receiver goodput under energy constraints.
- It effectively balances energy harvesting and data decoding decisions.
- The approach adapts to channel conditions and battery levels in real-time.

## Abstract

In this letter, we consider the control of an energy self-sufficient receiver in a multi-access network with simultaneous wireless information and energy transfer. Multiple transmitters send data to a common receiver whose only source of energy is a finite size battery which is recharged only from the energy harvested from incoming RF signals. The nodes access the channel randomly resulting in a packet collision when multiple transmitters simultaneously access the channel. The receiver takes samples from the received RF signal to calculate the probability of a collision. The objective is to maximize the receiver goodput subject to the instantaneous availability of receiver energy. We develop an asymptotically optimal dynamic control algorithm, where the receiver makes an energy harvesting or decoding decision according to the current channel measurements and battery level.