Performance analysis of dual-media cooperative communication based on wireless and power line under hybrid fading

Abstract

Wireless communication and power line communication are extensively applied in various fields, such as household Internet of things. For cooperative communication of amplify-forward relay using wireless access and power line transmission, the hybrid model of universal Nakagami wireless fading and lognormal power line fading was used in this study. A comparative analysis of similarities between Gamma and lognormal distributions and lognormal distribution characteristics of relay link signal-to-noise ratio was also carried out. Given the deficiencies of lognormal variable add approximation method, lognormal distribution parameters combined computing method based on moment generation function was proposed. Theoretical formulas of outage probability and bit error rate after amplify-forward relay and maximalratio combining was derived on the basis of moment generation function of the total output signal-to-noise ratio of the system. Effectiveness and reliability of the algorithm and theoretical formula were verified through simulation, and influence rules of hybrid channel fading and power distribution on the system performance were analyzed.

Research on Hybrid Relay Protocol Design and Cross-Layer Performance Based on NOMA

“…In this paper, an extensive Monte Carlo simulation is carried out to verify the accuracy of the theoretical formula, and the performance of the system using NOMA, OMA, wireless single-hop, and other transmission schemes under different parameters is compared and analyzed. Without loss of generality, the following default Settings are adopted for simulation parameters in this section unless otherwise specified [18,24]: for the physical layer, the link distance of each hop is normalized-let d SR = d RD = 1-and the fading factors of wireless and power line channel path are ν = 2, α = 1.5; let the average SNR of the wireless and power line channels be: Bernoulli-Gaussian pulse noise parameters are p = 0.1, k = 0.02, and wireless channel noise power is N w = 0.1 W; the channel interrupt threshold is γ th = 0.1; for the MAC layer, m = 4, CW = [16, 32, 64, 128], CW min = 16; the frame duration is T D = 5000 µs. In addition, it is assumed that all packets use the same physical rate and adopt the standard prescribed time slot duration and timing parameters.…”

Protection Mechanism in Reliability Evaluation Approach to Multistate System with Common Cause Failure

“…Risk analysis was applied to reduce the failure risk of industrial systems in related fields [31][32][33]. Meanwhile, performance optimization and assessment of certain wireless networks and power line engineering were also investigated [34,35]. Although a rich body of research has been conducted for addressing effects of CCF in reliability analysis of diverse types of systems, protecting mechanism on certain important elements during the reliability assessment of an MSS with CCF is seldom focused on.…”

An Efficient Universal Generating Function‐Based Analyzing Approach for Multistate System with Imperfect Coverage Failure

“…Other risk assessment model and risky multicriteria decision-making steps are developed [24,25]. Focusing on performance analysis and optimization, a wireless sensor network framework is constructed [26,27]. Regarding industrial cyberphysical system, safety control and performance monitoring are also focused on to answer how urgent they are and what degrees of fault tolerance and fault recovery are needed [28][29][30].…”