— Reinforcement learning (RL) is a learning control paradigm that provides well-understood algorithms with good convergence and consistency properties. Unfortunately, these algor...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
— Finding a reliable and efficient routing path in vehicular ad hoc networks (VANETs) is a challenging issue due to high mobility of vehicles and frequent link breakage. Motivat...
This paper addresses initial ranging (uplink synchronization and power control) for TDD OFDMA systems. Exploiting the channel knowledge from the downlink channel together with ini...
Abstract— This paper theoretically analyzes cross-layer optimized design of transmit power allocation in distributed interference-limited wireless networks with asynchronously ac...
The success of supply chains depends on the match between the requirements and offerings that deliver the services. It can be ensured by separating requirements from the means of ...