Improving Network Performance and Coverage Using Contract-Based Incentivized V2V Communications

In recent years, there has been a significant increase in vehicles, resulting in areas that are unable to supply online connectivity, due to the lack of infrastructure development, and high construction costs. This, in turn, can cause vehicle outages. Therefore, this paper proposes a method to improve coverage using vehicle-to-vehicle (V2V) communication and designing promotional contracts for relay vehicles. Relay vehicles are rewarded according to the contract, and the aim of this system model is to select the appropriate relay, allocate power, determine the optimal amount of data to transmit, evaluate of the relay reward, and ultimately maximize the utility of the base station (BS). The paper considers half-duplex (HD) and full-duplex (FD) relays separately. However, optimization problems are NP-hard problems, and to solve this issue, the paper uses successive convex approximation and Taylor expansion to approximate the problem. Additionally, the paper presents an algorithm for relay selection using a simulated annealing (SA) algorithm. The simulation results examine the amount of data provided by two models, rewards and objective functions, and the results show that the FD model outperforms the HD one. Furthermore, the system is extended and solved for multi target and multi relay vehicles.