Browsing by Author "Muthuchidambaranathan P."

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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
Fly-Energy Ecosystem: A Game-Theoretic Hybrid SWIPT Framework for UAV-Assisted Rural Wireless Systems
(Institute of Electrical and Electronics Engineers Inc., 2026) Sooriarachchi, V.P; Jayakody, D. N.K; Muthuchidambaranathan P.
The increasing use of IoT and related solutions in rural environments brings the growing need for energy-efficient and energy-aware solutions. This paper proposes a novel Stack-elberg game-theory-assisted hybrid wireless energy harvesting approach for unmanned aerial vehicle (UAV), which incorporates SimultaneousWireless Information and Power Transfer (SWIPT) systems designed specifically for remote and rural environments with conventional wireless power transfer (WPT). A multi-UAVs, multi-user scenario is considered where UAVs collect information from ground-level users while simultaneously providing WPT to the users. The proposed framework enables sustainable operation of remote monitoring systems in rural areas where conventional power infrastructure is limited or unavailable, contributing to more resilient and energy-efficient IoT deployments in challenging environments. The simulation results show that the proposed method achieves scalable performance and significant improvements in SINR and energy harvesting efficiency.