6533b7defe1ef96bd1275e88
RESEARCH PRODUCT
Performance Analysis of Cooperative V2V and V2I Communications Under Correlated Fading
Muhammad Awais JavedDuy T. NgoFurqan Jameelsubject
Signal Processing (eess.SP)FOS: Computer and information sciencesvehicle-to-infrastructure (V2I)Computer scienceComputer Science - Information TheoryReliability (computer networking)Real-time computingStackelberg gameComputer Science - Networking and Internet Architecturelangaton tiedonsiirto0502 economics and businessTelecommunications linkFOS: Electrical engineering electronic engineering information engineeringStackelberg competitionpeliteoriaFadingfading channelsElectrical Engineering and Systems Science - Signal ProcessingIntelligent transportation systemerror probabilitygamesNetworking and Internet Architecture (cs.NI)liikennetekniikka050210 logistics & transportationVehicular ad hoc networkreliabilityNetwork packetsignal to noise ratioInformation Theory (cs.IT)Mechanical Engineering05 social sciencesvehicle-to-vehicle (V2V)rakenteettomat verkotTransmitter power outputComputer Science Applicationsantenna correlationAutomotive Engineeringälytekniikkavehicular ad hoc networksantennasdescription
Cooperative vehicular networks will play a vital role in the coming years to implement various intelligent transportation-related applications. Both vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications will be needed to reliably disseminate information in a vehicular network. In this regard, a roadside unit (RSU) equipped with multiple antennas can improve the network capacity. While the traditional approaches assume antennas to experience independent fading, we consider a more practical uplink scenario where antennas at the RSU experience correlated fading. In particular, we evaluate the packet error probability for two renowned antenna correlation models, i.e., constant correlation (CC) and exponential correlation (EC). We also consider intermediate cooperative vehicles for reliable communication between the source vehicle and the RSU. Here, we derive closed-form expressions for packet error probability which help quantify the performance variations due to fading parameter, correlation coefficients and the number of intermediate helper vehicles. To evaluate the optimal transmit power in this network scenario, we formulate a Stackelberg game, wherein, the source vehicle is treated as a buyer and the helper vehicles are the sellers. The optimal solutions for the asking price and the transmit power are devised which maximize the utility functions of helper vehicles and the source vehicle, respectively. We verify our mathematical derivations by extensive simulations in MATLAB.
year | journal | country | edition | language |
---|---|---|---|---|
2019-08-11 |