Project: AI-based wireless access network design for future (B)5G networks under energy- and EMF-constraints
2020-10-01 – 2023-09-30
- Abstract
In the last decades, not only an increase in mobile devices has been noticed, but these devices are also becoming very powerful, allowing more demanding services such as data streaming or video calling. In the future, wireless access networks need to expand to cope with these extra demands to keep the user satisfied. However, network planning is currently already a very complex problem due to the many targets such as cost, performance, etc. To meet the requirements of the next-generation networks, network should be taken to the next level. Future network design should be EMF- (Electromagnetic Field) and energy-aware, but also have a high degree of flexibility. 5G for example will use a variety of technologies in a single network such as beam forming, mmWave frequencies and Massive MIMO (Multiple Input Multiple Output) requiring advanced machine learning techniques to deal with this network complexity and ensure the energy- and EMF-awareness. For energy-awareness, one should also look at using renewable energy sources to feed the wireless access network instead of using fossil fuels like today. Finally, to allow a high degree of network flexibility, one should use mobile base stations. This can be done by UAV (Unmanned Aerial Vehicle) aided networks. In this type of networks, mobile stations are mounted on UAVs or drones to provide additional performance on a more local scale. Each of the above requirements will be addressed in this research proposal.
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Automatic early detection of induced colic in horses using accelerometer devices
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- Journal Article
- A1
- open access
RIS-Aided mmWave network planning towards connectivity enhancement and minimal electromagnetic field exposure
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- Conference Paper
- P1
- open access
Conformal in-body bolus antenna for precision goat farming
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- Journal Article
- A1
- open access
Evaluating 60 GHz FWA deployments for urban and rural environments in Belgium
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- Conference Paper
- C1
- open access
Dog's behaviour classification based on wearable sensor accelerometer data
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- Journal Article
- A1
- open access
Combined antenna-channel modeling for the harsh horse hoof environment
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- Journal Article
- A1
- open access
Multi-objective optimisation of human exposure for various 5G network topologies in Switzerland
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- Journal Article
- A1
- open access
Designing a hybrid renewable energy source system to feed the wireless access network
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- Journal Article
- A1
- open access
Evaluation of beamsteering performance in multiuserMIMO unmanned aerial base stations networks
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- Journal Article
- A1
- open access
Experimental assessment of new generation radio networks based on layered division multiplexing