When wireless communications takes place in unlicensed bands, which for instance is the case for Wi-Fi and Bluetooth, the channel conditions may vary considerably due to variations in the experienced interference from other devices. These variations make it hard, or even impossible, for the transmitter to select the proper modulation and coding scheme (MCS). As an alternative to letting the transmitter select the optimum MCS for every transmission, one may try to use the channel in an opportunistic way and instead transmit at a very high MCS and let the receiver extract as much information as the channel allows. The idea is to effectivley remove the need for link adaptation at the transmitter.
The objective of this thesis is to evaluate a scheme based on multi-layer transmission which operates according to the approach described above. The evaluation includes theoretically analysing the system and to simulate and compare multi-layer transmission with ”text-book” schemes. The thesis will be conuducted at Ericsson Research in Lund, Sweden.
- Master Student in a technical field: Electrical Engineering, Wireless Communication, Computer Science or similar programs.
- Knowledge in Digital communication, Information theory and Forward Error Correcting Coding, corresponding to what is obtained in courses in these areas.
- Matlab: strong skill is desirable as a significant part of the work relates to simulations.
- Knowledge of radio communications, wireless systems, and wireless channels is seen as advantageous.
Extent: 1-2 students, 30hp each
Location: Lund, Sweden
Preferred Start Date: 2020-01-15
Are you interested?
Then send in your application (CV, current grades and cover letter written in English collated into one document) as soon as possible.The application deadline is the 13th of December. The process will be ongoing, and we will let you know as soon as we can if you move forward. For questions, please contact Recruiter Richard Tjong at email@example.com.
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Primary country and city: Sweden (SE) || || Lund || R&D
Req ID: 305360