126 citations · 381 across the 39 of their papers we have counts for
8 papers · 1 filter
Frequency Selection for Platoon Communications in Secondary Spectrum Using Radio Environment Maps
Marcin Hoffmann, Pawel Kryszkiewicz, Adrian Kliks
Platoon-based driving is an idea that vehicles follow each other at a close distance, in order to increase road throughput and fuel savings. This requires reliable wireless communi…
Reinforcement Learning Algorithm for Traffic Steering in Heterogeneous Network
Cezary Adamczyk, Adrian Kliks
Heterogeneous radio access networks require efficient traffic steering methods to reach near-optimal results in order to maximize network capacity. This paper aims to propose a nov…
User Allocation in Heterogeneous Network Supplied by Renewable Energy Sources
Adam Samorzewski, Adrian Kliks
The information and communication technology, ICT, a domain of the global economy, consumes more and more energy, what is the effect of continuously increasing wireless data traffi…
The Impact of Blocking Cars on Pathloss Within a Platoon: Measurements for 26 GHz Band
Paweł Kryszkiewicz, Adrian Kliks, Paweł Sroka +1
Platooning is considered to be one of the possible prospective implementations of the autonomous driving concept, where the train-of-cars moves together following the platoon leade…
A Hierarchical and Modular Radio Resource Management Architecture for 5G and Beyond
Marcin Dryjański, Adrian Kliks
The evolution of mobile wireless systems into Heterogeneous Networks, along with the introduction of the 5th Generation (5G) systems, significantly increased the complexity of radi…
Dynamic Power and Frequency Allocation Scheme for Autonomous Platooning
Paweł Sroka, Adrian Kliks, Michał Sybis +1
In this paper, we consider the use of radio environment maps (REMs) in vehicular dynamic spectrum access (VDSA) for vehicle platooning applications. We propose an algorithm that dy…
Beyond 5G: Big Data Processing for Better Spectrum Utilization
Adrian Kliks, Łukasz Kułacz, Paweł Kryszkiewicz +5
This article emphasizes the great potential of big data processing for advanced user- and situation-oriented, so context-aware resource utilization in future wireless networks. In…
Increasing Energy Efficiency of Massive-MIMO Network via Base Stations Switching using Reinforcement Learning and Radio Environment Maps
Marcin Hoffmann, Pawel Kryszkiewicz, Adrian Kliks
Energy Efficiency (EE) is of high importance while considering Massive Multiple-Input Multiple-Output (M-MIMO) networks where base stations (BSs) are equipped with an antenna array…