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Navneet Agrawal, M.Sc.

Research interests:

  • Wireless communications system design for future network including 5G and beyond
  • Coding for signals and networks
  • Artificially intelligent communication system design - focus on Physical layer applications
  • Functional analysis and set theoretic methods for function optimization for wireless applications
  • Consensus-based Control of Multiagent Systems over Wireless Channels
  • Area of convex and non-convex optimization

Current Projects:

  • DFG Priority Programme Cyber-Physical Networking (SPP 1944) [1]


  • N. Agrawal, R. L. G. Cavalcante and S. StaƄczak, Adaptive Estimation of Angular Power Spectra for Time-Varying MIMO Channels. [2] IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021, pp. 96-100, doi: 10.1109/SPAWC51858.2021.9593191.
  • N. Agrawal, M. Frey and S. Stanczak (2019). A Scalable Max-Consensus Protocol For Noisy Ultra-Dense Networks [3]. IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2-5 July 2019, Cannes, France
  • Master Thesis: Machine Intelligence in Decoding of Forward Error Correction Codes [4], Navneet Agrawal, KTH, School of Electrical Engineering (EES), Information Science an Engineering, 2017

You can find me on:

  • LinkedIn [5]



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Navneet Agrawal, M.Sc.
Network Information Theory Chair
Building HFT 400
Einsteinufer 25
10587 Berlin
+49(030) 314-28497
+49(015) 788 203862
Contact [7]
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