activity
20212026
most citedIncreasing Energy Efficiency of Massive-MIMO Network via Base Stations Switching using Reinforcement Learning and Radio Environment Maps

31 citations · 82 across the 17 of their papers we have counts for

collaborators

17 papers

cs.NI2026

WIP: Energy-Efficient LLM-Based Serving Cluster Formulation in Cell-Free Massive MIMO

Marcin Hoffmann, Paweł Kryszkiewicz

One way to increase the Energy Efficiency (EE) of 6G wireless networks is to utilize existing network infrastructure more efficiently. This can be achieved by introducing User-Cent…

cs.NI2026

A Unified E2E Energy Efficiency Testing Framework for Open RAN

Marcin Hoffmann, Marcin Dryjański, Adrian Kliks +4

Energy efficiency (EE) is one of the key challenges for contemporary and future mobile networks, including within the Open Radio Access Network (O-RAN) architecture. However, there…

cs.NI2026

Large-scale wireless network management via Open-RAN Tandem Apps: Cell on/off switching use case

Paweł Kryszkiewicz, Łukasz Kułacz, Marcin Pakuła +5

With growing mobile-network complexity, management and optimization have become increasingly difficult. Centralized algorithms face high control-data overhead and computational loa…

cs.NI2026

Radio Environment Map for Energy-Efficient User-Centric Cell-Free M-MIMO Network

Marcin Hoffmann, Paweł Kryszkiewicz

This paper proposes a Radio Environment Map (REM) for energy-efficient (EE) serving cluster formulation in a user-centric cell-free network. By incorporating the location of the us…

cs.LG2026

Impact of Nonlinear Power Amplifier on Massive MIMO: Machine Learning Prediction Under Realistic Radio Channel

Marcin Hoffmann, Paweł Kryszkiewicz

M-MIMO is one of the crucial technologies for increasing spectral and energy efficiency of wireless networks. Most of the current works assume that M-MIMO arrays are equipped with…

cs.CR2025

An Open-RAN Testbed for Detecting and Mitigating Radio-Access Anomalies

Hanna Bogucka, Marcin Hoffmann, Paweł Kryszkiewicz +1

This paper presents the Open Radio Access Net-work (O-RAN) testbed for secure radio access. We discuss radio-originating attack detection and mitigation methods based on anomaly de…

eess.SY2024

Energy Saving and Traffic Steering Use Case and Testing by O-RAN RIC xApp/rApp Multi-vendor Interoperability

Arda Akman, Peyman Tehrani, Pablo Oliver +3

This paper discusses the use case of energy saving and traffic steering in O-RAN, the mechanism of multi-vendor interoperability to make it work and depict its test methodology.

cs.IT2024★ 3 cited

O-RAN for Energy-Efficient Serving Cluster Formulation in User-Centric Cell-Free MMIMO

Marcin Hoffmann, Paweł Kryszkiewicz

The 6G Massive Multiple-Input Multiple-Output (MMIMO) networks can follow the so-called User-Centric Cell-Free (UCCF) architecture, where a single user is served by multiple Access…

cs.NI2023★ 1 cited

Open RAN xApps Design and Evaluation: Lessons Learnt and Identified Challenges

Marcin Hoffmann, Salim Janji, Adam Samorzewski +6

Open Radio Access Networks (RAN) offer diverse economic opportunities. A transition to a flexible, modular approach within the disaggregated RAN framework is crucial, involving car…

cs.NI2023

Why white noise is not enough? On using radio front-end models while designing 6G PHY

Pawel Kryszkiewicz, Pawel Sroka, Marcin Hoffmann +1

From generation to generation there are increasing requirements for wireless standards both in terms of spectral and energy efficiency. While up to now the layered wireless transce…

cs.NI2023★ 8 cited

Beam Management Driven by Radio Environment Maps in O-RAN Architecture

Marcin Hoffmann, Pawel Kryszkiewicz

The Massive Multiple-Input Multiple-Output (M-MIMO) is considered as one of the key technologies in 5G, and future 6G networks. From the perspective of, e.g., channel estimation, e…

cs.NI2023★ 25 cited

Signaling Storm Detection in IIoT Network based on the Open RAN Architecture

Marcin Hoffmann, Pawel Kryszkiewicz

The Industrial Internet of Things devices due to their low cost and complexity are exposed to being hacked and utilized to attack the network infrastructure causing a so-called Sig…

cs.NI2022★ 2 cited

Radio Environment Map and Deep Q-Learning for 5G Dynamic Point Blanking

Marcin Hoffmann, Paweł Kryszkiewicz

Dynamic Point Blanking (DPB) is one of the Coordinated MultiPoint (CoMP) techniques, where some Base Stations (BSs) can be temporarily muted, e.g., to improve the cell-edge users t…

cs.NI2022

Federated Learning-Based Interference Modeling for Vehicular Dynamic Spectrum Access

Marcin Hoffmann, Pawel Kryszkiewicz, Adrian Kliks

A platoon-based driving is a technology allowing vehicles to follow each other at close distances to, e.g., save fuel. However, it requires reliable wireless communications to adju…

cs.NI2021★ 12 cited

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…

cs.NI2021

Similarity Measures for Location-Dependent MMIMO, 5G Base Stations On/Off Switching Using Radio Environment Map

Marcin Hoffmann, Paweł Kryszkiewicz

The Massive Multiple-Input Multiple-Output (MMIMO) technique together with Heterogeneous Network (Het-Net) deployment enables high throughput of 5G and beyond networks. However, a…

eess.SP2021★ 31 cited

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…