Performance evaluation of wireless node positioning over α − η − μ fading channel

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Abstract The increasing demand for diverse services, ubiquitous coverage, and device-oriented point-to-point communications necessitates a focus on user mobility in characterizing the wireless channel environment. This study addresses the random waypoint mobility (RWP) model, where users follow a zigzag path between waypoints, causing significant fluctuations in perceived signal power. Recognizing the critical role of mobility-driven channel modelling in optimizing network infrastructure, this paper evaluates user mobility in non-linear and non-line-of-sight (NLOS) scenarios, leveraging the α-η-μ fading distribution. We derive a closed-form expression for the probability distribution function (PDF) by integrating the RWP mobility model with the α-η-μ fading channel. The study explores path loss exponent variations under different node positioning dimensions (1D, 2D, and 3D). The novel RWP-modelled α-η-μ composite fading channel PDF is then used to quantify performance metrics, including outage performance and bit error rate (BER) in communication systems, particularly in the context of evolving to 5 G networks. Additionally, this work considers dynamic node mobility in various distributions such as one-sided Gaussian, exponential, Nakagami-m (with its discrete version Chi), Rayleigh, and Weibull. The obtained results from the derived expressions are rigorously validated through Monte Carlo simulations.