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Master Thesis: Analysis of spatial characteristics to simplify MU-MIMO grouping in NR/5G

Job Description

Date: Dec 3, 2019

Background

 

NR/5G is the next generation radio access technology that is expected to provide very high data rates along with many new services. This high data rates and more provisions for new services also brings in new complexities and challenges. One of the main challenges is the ability to support transmission/reception with very large bandwidth (100 MHz and more). The support for high bandwidth introduces additional complexities at base station, especially on MU-MIMO. One of the key operations in MU-MIMO is the selecting a group of user equipment/communication devices (UEs) for MU-MIMO. The UEs should be spatial separate (orthogonal) to be in a MU-MIMO group.

Determination of spatial separation between a pair of UEs involves calculating the orthogonality between large number of UE pairs. This requires excessive processing capacity at the base station and needs to be addressed. The purpose of this thesis work is to explore possibility of using any alternatives to calculate orthogonality between pair of UEs, either with the help of new algorithms or using spatial analysis intelligence along with the algorithm.

 

 

Thesis Objective
 

  • Detailed understanding of the device grouping for MU-MIMO and complications involved in it.
  • Develop a simulation model to analyze spatial property of communication devices under different channel conditions.
  • Using the spatial property analysis results to explore new simplified algorithms (or add intelligence to algorithms) to simplify the orthogonality calculation between devices.
  • Analyze the results for different channel conditions

 

 

Qualifications:

 

We are searching for two students that are close to finish an M.Sc. degree in Wireless communication, Electrical Engineering, Computer Engineering, or a similar program. Knowledge in Matlab and Python is an advantage. As person you are fluent in English, have good analytical capability and good social skills.

 

 

Are you in?

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 8th of November. The process will be ongoing and we will let you know as soon as we can if you move forward.
Any questions? Please email Christian.Sperling@ericsson.com

Positions: 2

Location: Lund

 

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Primary country and city: Sweden (SE) || || Lund || R&D

Req ID: 303516