Name
Abstract | ||
|---|---|---|
Safety message dissemination in a vehicular ad-hoc network (VANET) requires vehicle-to-vehicle (V2V) communication with low latency and high reliability. The dynamics of vehicle passing and queueing as well as high mobility create distinctive propagation characteristics of wireless medium and inevitable uncertainty in space-time patterns of the vehicle density on a road. It is therefore of great importance to account for random vehicle locations in V2V communication. In this paper, we characterize intervehicle communication in a random field of vehicles, where a beacon or head vehicle (transmitter) broadcasts safety or warning messages to neighboring client vehicles (receivers) randomly located in a cluster on the road. To account for a doubly stochastic property of the VANET, we first model vehicle's random locations as a stationary Cox process with Fox's H-distributed random intensity (vehicle concentration) and derive the distributional functions of the lth nearest client's distance from the beacon in such a Fox Cox field of vehicles. We then consolidate this spatial randomness of receiving vehicles into a path loss model and develop a triply-composite Fox channel model that combines key wireless propagation effects such as the distance-dependent path loss, large-scale fading (shadowing), and small-scale fading (multipath fading). In Fox channel modeling, each constituent propagation effect is described as Fox's H-variate, culminating again in Fox's H-variate for the received power or equivalently the instantaneous signal-to-noise ratio at the lth nearest client vehicle. Due to versatility of Fox's H-functions, this stochastic channel model can encompass a variety of well-established or generalized statistical propagation models used in wireless communication; be well-fitted to measurement data in diverse propagation environments by varying parameters; and facilitate a unifying analysis for fundamental physical-layer performances, such as error probability- and channel capacity, using again the language of Fox's H-functions. This work serves to develop a unifying framework to characterize V2V communication in a doubly stochastic VANET by averaging both the small- and large-scale fading effects as well as the (random) distance-dependent path losses. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/JSAC.2013.SUP.0513038 | IEEE Journal on Selected Areas in Communications |
Keywords | Field | DocType |
vehicle-to-vehicle,vanet,error probability,large-scale fading,intervehicle communication,stochastic processes,distance-dependent path loss,vehicular ad-hoc network,fox's h-variate,cox process,wireless medium,fox's h-distributed random intensity,doubly stochastic property,fading channels,propagation characteristics,multipath fading,multipath channels,path loss,traffic flow theory,vehicular ad hoc networks,space-time patterns,statistical propagation models,stochastic channel model,small-scale fading,channel capacity,stationary cox process,symbol error probability (sep),telecommunication traffic,vehicular ad-hoc network (vanet),v2v communication,vehicle-to-vehicle (v2v) communication,error statistics,path loss model,distributional functions,spatial randomness,triply-composite fox channel model,safety message dissemination,shadowing,fading,wireless communication,vehicular ad hoc network | Multipath propagation,Fading,Computer science,Computer network,Communication channel,Real-time computing,Path loss,Cox process,Log-distance path loss model,Stochastic geometry models of wireless networks,Channel state information | Journal |
Volume | Issue | ISSN |
31 | 9 | 0733-8716 |
Citations | PageRank | References |
10 | 0.68 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Youngmin Jeong | 1 | 107 | 11.64 |
| Jo Woon Chong | 2 | 86 | 15.45 |
| Hyundong Shin | 3 | 2069 | 126.33 |
| Moe Z. Win | 4 | 2225 | 196.12 |