Browsing by Author "Vithanage, G. S"

Now showing 1 - 2 of 2

Embargo
A Novel Sample-Splitting Receiver Architecture for SWIPT: Design and Resource Allocation
(Institute of Electrical and Electronics Engineers Inc., 2026-06-08) Vithanage, G. S; Jayakody, D.N.K; Muthuchidambaranathan P.; Dinis, R
This paper presents a novel sample splitting (SS) technique for simultaneous wireless information and power transfer (SWIPT), addressing the inefficiencies of conventional power splitting (PS) and time switching (TS) methods. Unlike traditional approaches, SS directly samples the received signal after it is captured by the antenna. Subsequently, the sampled signal is used for information decoding (ID), and the residual component is redirected towards energy harvesting (EH) by means of a single-pole double-throw (SPDT) switching mechanism. A digital receiver architecture is designed to implement SS, and its performance is evaluated against PS and TS through Monte Carlo simulations over Rayleigh fast fading channels. The results demonstrate an improved bit error rate (BER) and harvested power trade-off, with SS achieving maximum EH gains of approximately 189% over PS and 106% over TS under the considered system parameterization, providing its greatest advantage in ID-prioritized scenarios where the EH branch is most constrained.
Embargo
Receiver-Centric Waveform Design: A New Frontier in SWIPT
(Institute of Electrical and Electronics Engineers Inc., 2026-01-15) Vithanage, G. S; Jayakody, D. N.K; Krikidis, I
In this work a receiver-centric waveform design technique for simultaneous wireless information and power transfer (SWIPT) is proposed, eliminating the traditional trade-off between energy harvesting (EH) efficiency and information transfer (IT) integrity. By injecting pulses into the receiver, the peak-to-average power ratio (PAPR) of the received signal is increased, using diode nonlinearity to enhance EH without affecting IT. Particle swarm optimization (PSO) is used to tune the pulse parameters to obtain the maximum harvest power under practical constraints. The Monte Carlo simulation results demonstrate superior EH performance compared to existing waveform optimization schemes. The method remains robust under common IT optimizations, such as selective mapping (SLM) and partial transmit sequence (PTS), confirming its compatibility and scalability for real-world SWIPT systems.