In this contribution, we design and test the performance of a distributed and adaptive resource management controller, which allows the optimal exploitation of Cognitive Radio and soft-input/soft-output data fusion in Vehicular Access Networks. The goal is to allow energy and computing-limited car smartphones to utilize the available Vehicular-to-Infrastructure WiFi connections for performing traffic offloading towards local or remote Clouds by opportunistically acceding to a spectrallimited wireless backbone built up by multiple Roadside Units (i.e., Cloudlets). We cast the resource management problem into a suitable constrained stochastic Network Utility Maximization problem and derive the optimal cognitive resource manager which dynamically allocates the access time-windows at the serving Roadside Units (i.e., the Access Points), together with the access rates and traffic flows at the served Vehicular Clients (i.e., the secondary users of the wireless backbone). The developed controller provides hard reliability guarantees to the Cloud Service Provider (i.e., the primary user of the wireless backbone) on a per-slot basis. Furthermore, it is able to acquire context information about the currently available bandwidthenergy resources, so as to quickly adapt to the mobility-induced abrupt changes of the state of the vehicular network.Index Terms-Cloud-assisted vehicular networks, Cognitive Radio access, Energy and bandwidth limitations, Distributed resource management.
I. MOTIVATION AND GOALVehicular networking is in the progress of merging with the Mobile Internet and Mobile Cloud Computing (MCC), so as to constitute an integrated communication/computing information platform [1]. While safe navigation has always been the prime motivation behind vehicular communications, currently it is believed that vehicular networks will provide communication infrastructures for a much broader range of large-scale high-mobile applications, and Vehicular Cloud Computing (VCC) is emerging as the most appealing solution. However, up to date, there are at least two main challenges which hamper the rapid development of VCC infrastructures. First, smartphones are usually constrained by limited resources, and the possible utilization of vehicular On Board Units (OBUs) mitigates (but does not resolve) the energy problem [2]. Second, it is expected that the frequency bandwidth of 75 M Hz to be allotted in the next years to vehicular networked services will be sufficient for supporting safety and advertisement applications, but it will be still scarce for nication Engineering (DIET). Via Eudossiana, 18. 00184, Rome (Italy). delivering communication-intensive multimedia infotainment services [3].Meanwhile, industry and academia have identified three main classes of potential applications to be supported by networked VCC infrastructures, namely, safety-related applications, transport-related applications and infotainment applications [1]. These applications are provided to the requiring Vehicular Clients (VCs) through the Vehicle-to-Vehicl...