Henrik Lehrmann Christiansen

Orcid: 0000-0002-9558-3493

Affiliations:
  • Technical University of Denmark, Department of Photonics Engineering


According to our database1, Henrik Lehrmann Christiansen authored at least 42 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
The Evolution of Mobile Network Operations: A Comprehensive Analysis of Open RAN Adoption.
Comput. Networks, 2024

2023
Toward Greener 5G and Beyond Radio Access Networks - A Survey.
IEEE Open J. Commun. Soc., 2023

2022
Mobile Communication System Measurements and Satellite Images.
Dataset, May, 2022

NB-IoT deep-indoor measurements in an underground tunnel system.
Dataset, May, 2022

RAN Design Guidelines for Energy Efficient 5G Mobile Xhaul Networks.
Proceedings of the 14th International Conference on Communications, 2022

Deployment Guidelines for Cloud-RAN in Future Mobile Networks.
Proceedings of the 11th IEEE International Conference on Cloud Networking, 2022

2021
Understanding Sub-GHz Signal Behavior in Deep-Indoor Scenarios.
IEEE Internet Things J., 2021

Energy Consumption Modelling of Next Generation Mobile Crosshaul Networks.
Proceedings of the 2021 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2021

2020
Technical University of Denmark LTE drive test measurements.
Dataset, April, 2020

Model-Aided Deep Learning Method for Path Loss Prediction in Mobile Communication Systems at 2.6 GHz.
IEEE Access, 2020

Deep Learning-based Signal Strength Prediction Using Geographical Images and Expert Knowledge.
Proceedings of the IEEE Global Communications Conference, 2020

Experimental Evaluation of Empirical NB-IoT Propagation Modelling in a Deep-Indoor Scenario.
Proceedings of the IEEE Global Communications Conference, 2020

2019
A Survey of the Functional Splits Proposed for 5G Mobile Crosshaul Networks.
IEEE Commun. Surv. Tutorials, 2019

Comparison of Empirical and Ray-Tracing Models for Mobile Communication Systems at 2.6 GHz.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Investigation of Deep Indoor NB-IoT Propagation Attenuation.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

2018
Fronthaul for Cloud-RAN Enabling Network Slicing in 5G Mobile Networks.
Wirel. Commun. Mob. Comput., 2018

Unveiling Capacity Gains in Ultradense Networks: Using mm-Wave NOMA.
IEEE Veh. Technol. Mag., 2018

Caching at the Mobile Edge: A Practical Implementation.
IEEE Access, 2018

Impact of NOMA on Network Capacity Dimensioning for 5G HetNets.
IEEE Access, 2018

Drive Test Minimization Using Deep Learning with Bayesian Approximation.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

User-Centric Power Saving in Self-Organizing Mobile Networks.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

2017
Envisioning Spectrum Management in Virtualised C-RAN.
Proceedings of the 2017 IEEE Wireless Communications and Networking Conference, 2017

System-Level Performance of C-NOMA: A Cooperative Scheme for Capacity Enhancements in 5G Mobile Networks.
Proceedings of the 86th IEEE Vehicular Technology Conference, 2017

A Novel Method for Improving the Capacity in 5G Mobile Networks Combining NOMA and OMA.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

Real-life C-RAN deployment considerations.
Proceedings of the 8th International Conference on the Network of the Future, 2017

Performance of Non-Orthogonal Multiple Access (NOMA) in mmWave wireless communications for 5G networks.
Proceedings of the 2017 International Conference on Computing, 2017

2016
Evaluating C-RAN fronthaul functional splits in terms of network level energy and cost savings.
J. Commun. Networks, 2016

Enhancing LTE with Cloud-RAN and Load-Controlled Parasitic Antenna Arrays.
IEEE Commun. Mag., 2016

Macro Cell Assisted Cell Discovery Method for 5G Mobile Networks.
Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

Optimising TCP for Cloud-Based Mobile Networks.
Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

A framework for resources allocation in virtualised C-RAN.
Proceedings of the 27th IEEE Annual International Symposium on Personal, 2016

Towards flexbile SDN-based management for cloud-based mobile networks.
Proceedings of the 2016 IEEE/IFIP Network Operations and Management Symposium, 2016

2015
Cloudification of mmwave-based and packet-based fronthaul for future heterogeneous mobile networks.
IEEE Wirel. Commun., 2015

Cloud RAN for Mobile Networks - A Technology Overview.
IEEE Commun. Surv. Tutorials, 2015

Synchronization challenges in packet-based Cloud-RAN fronthaul for mobile networks.
Proceedings of the IEEE International Conference on Communication, 2015

Fronthaul dimensioning in C-RAN with web traffic for coordinated multipoint joint transmission.
Proceedings of the IEEE International Conference on Communication, 2015

Optimal assignment of cells in C-RAN deployments with multiple BBU pools.
Proceedings of the 2015 European Conference on Networks and Communications, 2015

Optimizing Cloud-RAN deployments in real-life scenarios using Microwave Radio.
Proceedings of the 2015 European Conference on Networks and Communications, 2015

2014
Modeling and event-driven simulation of coordinated multi-point joint transmission in LTE-advanced with constrained backhaul.
Proceedings of the 2014 Winter Simulation Conference, 2014

Discrete-event simulation of coordinated multi-point joint transmission in LTE-Advanced with constrained backhaul.
Proceedings of the 11th International Symposium on Wireless Communications Systems, 2014

Meeting fronthaul challenges of future mobile network deployments - The HARP approach.
Proceedings of the 2014 IEEE GLOBECOM Workshops, Austin, TX, USA, December 8-12, 2014, 2014

2013
A framework for joint optical-wireless resource management in multi-RAT, heterogeneous mobile networks.
Proceedings of the IEEE International Conference on Communications, 2013


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