Online algorithms are central to solving resource allocation and matching challenges in dynamic environments where decisions must be made without complete knowledge of future events. Research in this ...
Abstract: Device-to-device (D2D) communication enhances system throughput and alleviates the load on the network core by utilizing the spectrum resources allocated to cellular users, and has become ...
Abstract: This paper addresses the resource allocation problem in Orthogonal Frequency Division Multiple Access (OFDMA)-based wireless networks. The resource allocation problem is posed as an ...
This project explores how intelligent agents (vehicles) can learn to dynamically allocate wireless communication resources in Vehicle-to-Vehicle (V2V) networks using Deep Reinforcement Learning (DRL).
Part I of this paper presented a method for primal decomposition of large convex separable programs into a sequence of smaller subproblems. In this part, additional theory and development of a ...
Title Delay-optimal dynamic mode selection and resource allocation in device-to-device communications - Part II: Practical algorithm ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback