Department of Communications and Networking

Communications Engineering

The Communications Engineering research group lead by Professor Riku Jäntti focus on physical and MAC layer related research topics of wireless communications systems.
Communications Engineering

The research focus areas include:

Cloud RAN for Indoor DAS:

LTE network controlled D2D for mission critical MTC:

Low-power Remote Intrusion Monitoring Using Radio Tomographic Imaging:

System-level simulator of Bluetooth Low Energy version 5

This simulator is written in C++ and developed to work in MiXiM framework of the OMNeT++ engine. This simulation, which simulates the PHY and MAC layer of BLE 5, is developed on top of BLE 4.2 simulator. This simulator has been used for publishing the following article:

  • B. Badihi, F. Ghavimi and R. Jäntti, "On the System-level Performance Evaluation of Bluetooth 5 in IoT: Open Office Case Study," 2019 16th International Symposium on Wireless Communication Systems (ISWCS), Oulu, Finland, 2019, pp. 485-489, doi: 10.1109/ISWCS.2019.8877223.

The following features of BLE5 have been developed:

  • New PHY layers including, LE Coded S2LE Coded S8LE 2M PHY in addition to LE 1M PHY.
  • Channel Selection Algorithm 2#.

In addition to the above-mentioned features, a dedicated decider for BLE in PHY layer, flow control in MAC layer and new auxiliary advertising packets are developed. It is worth mentioning that this simulator is developed and tested with OMNeT++ version 4.4.1 and MiXiM version 2.3. The higher versions of OMNeT++ may or may not work with the tool.

In order to use this tool, the user must accept the GNU v3 license by confirming that she/he has read, understood and agree with the conditions of this licence. In order to use this tool, the user need the password for openning the zip file. The password is "I hereby accept the license terms" without all spaces. After unzipping the file, the is a tarball that can be directly imported by OMNet++.

Read more

Latest publications

A canonical correlation-based framework for performance analysis of radio access networks

Furqan Ahmed, Muhammad Zeeshan Asghar, Jyri Hämäläinen 2023 2022 IEEE Globecom Workshops (GC Wkshps)

Optimum Multi-antenna Ambient Backscatter Receiver for Binary-modulated Tag Signals

Yusein Ali, Xiyu Wang, Riku Jantti 2023 IEEE Transactions on Wireless Communications

Ergodic Secrecy Rate Analysis and Optimal Power Allocation for Symbiotic Radio Networks

Azzam Al-nahari, Riku Jantti, Gan Zheng, Deepak Mishra, Mingcheng Nie 2023 IEEE Access

Waveguide QED with Quadratic Light-Matter Interactions

Uesli Alushi, Tomás Ramos, J.J. García-Ripoll, Roberto Di Candia, Simone Felicetti 2023 PRX Quantum

Urban vertical farming with a large wind power share and optimised electricity costs

Vahid Arabzadeh, Panu Miettinen, Titta Kotilainen, Pasi Herranen, Alp Karakoc, Matti Kummu, Lauri Rautkari 2023 Applied Energy

Towards Autonomous Multi-UAV Wireless Network: A Survey of Reinforcement Learning-Based Approaches

Yu Bai, Hui Zhao, Xin Zhang, Zheng Chang, Riku Jantti, Kun Yang 2023 IEEE Communications Surveys and Tutorials

Channel Model Mismatch Analysis for XL-MIMO Systems from a Localization Perspective

Hui Chen, Ahmed Elzanaty, Reza Ghazalian, Musa Furkan Keskin, Riku Jäntti, Henk Wymeersch 2023 GLOBECOM 2022 - 2022 IEEE Global Communications Conference

3D Radio Map-based GPS spoofing Detection and Mitigation for Cellular-Connected UAVs

Yongchao Dang, Alp Karakoc, Norshahida Saba, Riku Jäntti 2023 IEEE Transactions on Machine Learning in Communications and Networking

Graphic Neural Network based GPS Spoofing Detection for Cellular-Connected UAV swarm

Yongchao Dang, Alp Karakoc, Riku Jäntti 2023 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings
More information on our research in the Aalto research portal.
Research portal
  • Published:
  • Updated:
Share
URL copied!