Wireless Information and Power Transfer: A Dynamic Power Splitting Approach

TL;DR

This paper introduces a dynamic power splitting scheme for wireless energy harvesting systems, optimizing the trade-off between information transfer and energy harvesting in flat-fading channels with known channel states.

Contribution

It proposes a novel dynamic power splitting method for SISO systems, deriving optimal rules and extending to SIMO systems with antenna switching for improved efficiency.

Findings

Optimal power splitting rule derived for maximum ergodic capacity and energy harvesting

Joint optimization of transmitter power control and receiver power splitting analyzed

Extension to SIMO systems with low-complexity antenna switching scheme

Abstract

Scavenging energy from ambient radio signals, namely wireless energy harvesting (WEH), has recently drawn significant attention. In this paper, we consider a point-to-point wireless link over the flat-fading channel, where the receiver replenishes energy via WEH from the signals sent by the transmitter. We consider a SISO (single-input single-output) system where the single-antenna receiver cannot decode information and harvest energy independently from the same signal received. Under this practical constraint, we propose a dynamic power splitting (DPS) scheme, where the received signal is split into two streams with adjustable power levels for information decoding and energy harvesting separately based on the instantaneous channel condition that is assumed to be known at the receiver. We derive the optimal power splitting rule at the receiver to achieve various trade-offs between the maximum ergodic capacity for information transfer and the maximum average harvested energy for power transfer. Moreover, for the case when the channel state information is also known at the transmitter, we investigate the joint optimization of transmitter power control and receiver power splitting. Finally, we extend the result for DPS to the SIMO (single-input multiple-output) system and investigate a low-complexity power splitting scheme termed antenna switching.