Quantum-Enabled Intelligent Resource Control for Reliable Communication Support in Internet-of-Vehicles

The internet-of-vehicles (IoV) ecosystem includes multitude of interconnected vehicles equipped with sensors and communication devices to improve the quality-of-experience (QoE) of users. To support the service applications like safety, vehicle’s health monitoring, navigation and collision avoidance, IoVs suffer from the constraint of limited communication and computation resources. This paper presents a quantum-enabled robust mechanism for reliable communication in vehicular networks. A vehicular network model is proposed in which the mobile nodes transmit the qubits (quantum bits) to the access points (APs) using multiple reconfigurable intelligent surfaces (RISs). To reduce the energy overhead, an RIS-selection algorithm is proposed using quantum computing. It enables the selection of optimum RIS against using several RISs at once such that the network performance is enhanced. It has been observed that the proposed model with RIS selection algorithm improves the achieved rate by 8.43% over the system that incorporates no selection. Also, the variation with number of RIS reflecting elements (N) suggest that maximum rate is achieved with more number of elements under equal phase shifts. With N = 400, there is improvement of 9.09% in achieved rate with equal phase shifts. In the end, the system performance is evaluated under different channel conditions for varied signal-to-noise ratio (SNR) range.