Rajnish K. Ranjan, Atanu Chowdhury, Dibyendu Ghoshal
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On The Effective Capacity Performance Analysis Over Nakagami-m Distribution-Based Double-Shadowed Rician Fading Channel
The practical applications within the domain of the fifth generation (5G) and the emerging beyond 5G network necessitate a high data transmission rate along with minimal achievable delay. With this objective in focus, the maximum capacity is extensively quantified through the utilization of the delay-constrained effective capacity (EC) technique, which stands in contrast to Shannon's ergodic capacity. The current study is engaged in the analysis of EC within a delay-limited wireless system operating in a double-shadowed Rician (DSR) fading channel. Within this channel, only the Nakagami-m distribution concept has been applied to both the dominant and secondary shadowing components of the proposed network model. A new exact closed-form expression for EC within the DSR fading channel has been derived using the Fox-H function. Furthermore, an analysis has been conducted for both high and low signal-to-noise ratios to provide further insights and explanations for the proposed model. It is worth noting that the results obtained from both simulation and analytical methods exhibit substantial similarity, revealing interdependence among various parameters present in the proposed model.
期刊介绍:
Radio Science (RDS) publishes original scientific contributions on radio-frequency electromagnetic-propagation and its applications. Contributions covering measurement, modelling, prediction and forecasting techniques pertinent to fields and waves - including antennas, signals and systems, the terrestrial and space environment and radio propagation problems in radio astronomy - are welcome. Contributions may address propagation through, interaction with, and remote sensing of structures, geophysical media, plasmas, and materials, as well as the application of radio frequency electromagnetic techniques to remote sensing of the Earth and other bodies in the solar system.