Difference between revisions of "Improved Reacquisition for the 5G Cellular IoT"
m (Lstefan moved page Improved Reacquisition for the Cellular IoT to Improved Reacquisition for the 5G Cellular IoT)
Revision as of 08:13, 14 September 2018
Cellular standards and networks have traditionally been optimized for the high throughput requirements of modern smartphones. Recently the Internet of Things (IoT) has emerged as a new application with vastly different requirements. Ericsson predicts, that there will be 15 billion smart devices with Internet connectivity. Potential applications include smart metering, tracking in logistics, environmental sensing, and smart buildings. Two new variants of LTE have been standardized as part of Release 13 in 2016 for this kind of device: LTE Cat-M1 (eMTC) and NB-IoT. They both offer reduced cost and power consumption, as well as improved coverage, but Cat-M1 supports more features and has a higher maximum throughput. As part of our communication platform, we are currently developing a modem, which supports both standards, at IIS.
To conserve energy, cellular devices try to minimize the time they actively receive data from the network. Even when they are 'connected' they only receive at certain pre-defined moments (paging occasions) and are in stand-by most of the time. The range between these moments can range from milliseconds to multiple minutes for low-power operation.
To further improve the energy-efficiency, new signals have been proposed for the upcoming Release 15. They try to reduce the amount of time spent receiving at each of these paging occasions.
During this thesis, you will study the benefit of using these signals using our existing LTE Matlab framework. In a second step, you will investigate efficient algorithms and architectures to process them and implement them for our IoT Modem.
- Looking for 1-2 Semester/Master students
- Contact: Stefan Lippuner
- An interest in wireless communication and signal processing
- Matlab programming experience
- VHDL experience for a hardware implementation (VLSI I lecture)
 3GPP. Release 13. http://www.3gpp.org/release-13, 2016.
 Image: industryeurope.com, 2018