Unmanned Aerial Vehicles (UAVs) have immense potential to enhance Intelligent Transport
Systems (ITS) by aiding in real-time traffic monitoring, emergency response, and …

This paper investigates the resource allocation problem in device-to-device-based vehicular
communications, based on slow fading statistics of channel state information (CSI), to …

With the advent of approximation algorithms for NP-hard combinatorial optimization
problems, several techniques from exact optimization such as the primal-dual method have …

With their inherent attributes such as mobility, flexibility, and adaptive altitude, Unmanned
Aerial Vehicles (UAVs) can potentially enable Intelligent Transportation Systems (ITS) to be …

Vehicle-to-everything (V2X) communications are regarded as the key technology in future
vehicular networks due to its ability in providing efficient and reliable massive connections …

One of the most natural optimization problems is the k-SET PACKING problem, where given
a family of sets of size at most k one should select a maximum size subfamily of pairwise …

We consider the weighted k-set packing problem, in which we are given a collection of
weighted sets, each with at most k elements and must return a collection of pairwise disjoint …

For Boolean functions f:{0, 1} n->{0, 1} and g:{0, 1} m->{0, 1}, the function composition of f
and g denoted by f O g:{0, 1} nm->{0, 1} is the value of f on n inputs, each of them is the …

In this paper, aiming at the emergency coverage for vehicular network, we consider the
problem of resource allocation for unmanned-aerial-vehicle (UAV) enabled vehicular …

This paper investigates the resource allocation problem in device-to-device (D2D)-based
vehicular communications, based on slow fading statistics of channel state information (CSI) …