Open AccessAnalysis of capacity in vehicular device‐to‐device relay networks with multi‐user case
Author(s) -
Wu Guilu,
Xu Pingping
Publication year - 2018
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2017.1096
Subject(s) - transmission (telecommunications) , relay , poisson point process , computer science , stochastic geometry , interference (communication) , computer network , telecommunications , topology (electrical circuits) , electronic engineering , power (physics) , poisson distribution , electrical engineering , engineering , mathematics , physics , statistics , channel (broadcasting) , quantum mechanics
The transmission capacity of a vehicular network is still an interesting and challenging problem as capacity is impacted by transmission distance between both vehicles, density of vehicles, relay among vehicles, noise and interference. This study analyses the transmission capacity of vehicular device‐to‐device relay networks with multi‐users (service vehicle (SV) and helper vehicle (HV)) in the overlay mode. SVs coexisting with HVs share the spectrum resources. Utilising stochastic geometry theory, SVs and HVs are modelled as the Poisson point process in vehicular networks, respectively. Subsequently, the HVs existence probability and the expectation distance with HV link are derived to calculate the successful transmission probabilities for SV to SV communication. With this characteristic HV relay transmission signals exceed transmission distance, the authors further calculate the transmission capacities with SV to SV communication assisted by HVs and reveal the influence of vehicles' density and transmission power. Besides, the relationship between transmission capacities, the variable direct link distance of SV to SV communication is also analysed. Simulation results indicate that transmission capacity can be improved by an assisted HV and influenced by a few system parameters, including the direct link distance between source SV and destination SV, SVs density and HVs density.