International Journal of Advanced Technology and Engineering Exploration ISSN (Print): 2394-5443    ISSN (Online): 2394-7454 Volume-12 Issue-133 December-2025
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Capacity analysis of energy-harvesting Rayleigh fading channels with adaptive transmission and diversity reception

Christina Sabir Rahman1, Bhargabjyoti Saikia2, Haraprasad Mondal2 and Bhaskar Jyoti Saikia3

Research Scholar, Department of Electronics and Communication Engineering,DUIET, Dibrugarh University,Assam,India1
Assistant Professor, Department of Electronics and Communication Engineering,DUIET, Dibrugarh University,Assam,India2
Assistant Professor, Department of Petroleum Engineering,DUIET, Dibrugarh University,Assam,India3
Corresponding Author : Bhargabjyoti Saikia

Recieved : 28-February-2025; Revised : 14-December-2025; Accepted : 16-December-2025

Abstract

This study presents an in-depth analysis of channel capacity in Rayleigh fading environments by integrating an energy harvesting (EH) technique with various adaptive transmission schemes and a multi-antenna diversity receiver. The use of multiple-antenna receivers combined with adaptive transmission strategies significantly enhances the capacity of fading channels. Specifically, the study investigates the joint impact of EH and three distinct power- and rate-adaptive strategies—optimum rate adaptation (ORA), channel inversion with fixed rate (CIFR), and truncated channel inversion with fixed rate (TIFR)—on system performance. The analysis focuses on a maximum ratio combining (MRC) receiver equipped with L receiving antennas operating under Rayleigh fading conditions. A key contribution of this work is the derivation of the probability density function (PDF) for the EH process by incorporating a power splitting (PS) factor β within a simultaneous wireless information and power transfer (SWIPT) framework. Using the derived PDF, closed-form expressions for channel capacity under the considered adaptive strategies are formulated. Furthermore, the influence of the number of receiver branches L and the PS factor β on channel capacity is analyzed and validated through Monte Carlo simulations. The interaction between these parameters and the adaptive transmission strategies results in a significant improvement in receiver efficiency. Among the investigated strategies, truncated channel inversion with a fixed transmission rate consistently achieves the highest channel capacity across all values of β. The findings of this study are particularly relevant to energy-constrained communication systems requiring reliable data transmission and stable power supply, such as wireless sensor networks (WSNs) and internet of things (IoT) applications.

Keywords

Rayleigh fading, Energy harvesting, SWIPT, Adaptive transmission, Maximum ratio combining, Channel capacity.

Cite this article

Rahman CS, Saikia B, Mondal H, Saikia BJ. Capacity analysis of energy-harvesting Rayleigh fading channels with adaptive transmission and diversity reception. International Journal of Advanced Technology and Engineering Exploration. 2025;12(133):1901-1911. DOI : 10.19101/IJATEE.2025.121220288

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