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(Created page with "File:jammer_mitigation_asic.png|380px|thumb|A MIMO basestation mitigates an ongoing jamming attack while continuing to serve the legitimate user equipments. The signal proce...")
 
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[[File:jammer_mitigation_asic.png|380px|thumb|A MIMO basestation mitigates an ongoing jamming attack while continuing to serve the legitimate user equipments. The signal processing for this takes place in a custom ASIC.]]
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This site is currently being created. Please stay tuned, more information will be uploaded shortly.
==Short Description==
 
  
Jamming attacks pose a critical threat to wireless communication systems. Multi-antenna (MIMO) wireless systems have the potential to mitigate such jamming attacks through signal processing. Methods for jammer mitigation are thus currently a hot research topic in wireless communication. Many different linear [1], [2] and non-linear (e.g., deep learning based [3]) jammer mitigation algorithms have been proposed. To be practically viable, such methods will ultimately have to be implemented in hardware (using FPGAs or, more likely, ASICs), since sofware-based signal processing will never support the data rates of modern wireless systems. To this date, however, there are no hardware implementations of jammer mitigation algorithms.
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Contact: Reinhard Wiesmayr
 
 
The goal of this project is to develop the first ASIC implementation of a jammer-mitigating signal processing algorithm. For this, the student will take a state-of-the art jammer mitigation algorithm and adapt it as an efficient VLSI implementation. The student will then synthesize this design and tape out a chip using CMOS technology.
 
 
 
 
 
[1] Q. Yan, H. Zeng, T. Jiang, M. Li, W. Lou, and Y. T. Hou "Jamming resilient communication using MIMO interference cancellation." IEEE Transactions on Information Forensics and Security 11(7), 2016, 1486-1499.
 
 
 
[2] H. Akhlaghpasand, E. Björnson, and S. Mohammad Razavizadeh. "Jamming suppression in massive MIMO systems." IEEE Transactions on Circuits and Systems II: Express Briefs 67(1), 2019, 182-186.
 
 
 
[3] T. Erpek,  Y. E. Sagduyu, and Y. Shi. "Deep learning for launching and mitigating wireless jamming attacks." IEEE Transactions on Cognitive Communications and Networking 5(1), 2018, 2-14.
 
 
 
 
 
===Status: Available ===
 
: Looking for 1-2 Semester/Master students
 
: Contact: [https://iip.ethz.ch/people/profiles.MzAxMjAz.TGlzdC80MTExLDEwNjY3Mjg3NDU=.html Reinhard Wiesmayr]
 
 
 
===Prerequisites===
 
: Verilog or VHDL
 
: VLSI II
 
: Familiarity with the basics of digital communication is recommended but not strictly required
 
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===Status: Completed ===
 
: Fall Semester 2014 (sem13h2)
 
: Matthias Baer, Renzo Andri
 
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===Status: In Progress ===
 
: Student A, StudentB
 
: Supervision: [[:User:Mluisier | Mathieu Luisier]]
 
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===Character===
 
: 80% VLSI Implementation and Verification
 
: 20% MATLAB simulation
 
===Professor===
 
<!-- : [http://www.iis.ee.ethz.ch/people/person-detail.html?persid=194234 Luca Benini] --->
 
<!-- : [http://www.iis.ee.ethz.ch/people/person-detail.html?persid=78758 Qiuting Huang] --->
 
<!--: [http://www.iis.ee.ethz.ch/people/person-detail.html?persid=80923 Mathieu Luisier] --->
 
<!--: [https://ee.ethz.ch/the-department/people-a-z/person-detail.MjUwODc0.TGlzdC8zMjc5LC0xNjUwNTg5ODIw.html Taekwang Jang] --->
 
: [https://ee.ethz.ch/the-department/faculty/professors/person-detail.OTY5ODg=.TGlzdC80MTEsMTA1ODA0MjU5.html Christoph Studer]
 
<!-- : [http://www.iis.ee.ethz.ch/people/person-detail.html?persid=79172 Andreas Schenk] --->
 
 
 
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==Detailed Task Description==
 
 
 
===Goals===
 
===Practical Details===
 
* '''[[Project Plan]]'''
 
* '''[[Project Meetings]]'''
 
* '''[[Design Review]]'''
 
* '''[[Coding Guidelines]]'''
 
* '''[[Final Report]]'''
 
* '''[[Final Presentation]]'''
 
 
 
==Results==
 
 
 
==Links==
 
 
 
[[Category:Available]]
 
[[Category:IIP]]
 
[[Category:IIP_5G]]
 
 
 
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Revision as of 16:21, 27 May 2022

This site is currently being created. Please stay tuned, more information will be uploaded shortly.

Contact: Reinhard Wiesmayr