Random Matrix Theory for Wireless Communication
- 3-3 ECTS credits
- Academic year 2025-2026
- DP00AY80
Education information
Implementation date
10.06.2025 - 13.06.2025
Enrollment period
-
Education type
Field-specific studies
Alternativity of education
Optional
Location
Venue location
10.6-13.6 TS136 at 10:00-15:00
Enrollment and further information
Registration and more information in Peppi with the code DP00AY80.
Education description
In the realm of wireless communication, the challenges tied to scalability have become increasingly complex due to the growing number of network nodes and expanding bandwidth. What used to be an area where engineers relied on their insights has shifted toward the use of extensive simulations, which come with their own set of limitations and drawbacks. In response to this challenge, a concept known as the "big picture" perspective has emerged as a potential solution. This approach aims to focus on the most crucial aspects of a system while setting aside some of the finer, more detailed elements. This course aligns with this evolving trend and has a primary goal: to help participants gain a comprehensive understanding of how Random Matrix Theory can effectively model the complexities of wireless device interactions. The course places a strong emphasis on exploring the widely respected Stieltjes transform method. It covers fundamental concepts, the core of this method, advanced deterministic equivalent techniques, and practical applications in the field of wireless communication, including Massive MIMO, performance analysis, and interference management. By the end of this course, participants will have a well-rounded understanding of Random Matrix Theory and its real-world applications to address the evolving challenges in the field.