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User Scaling Laws In Massive MIMO Downlink & Low Encoding Cost Hybrid Precoding For Multiuser Massive MIMO

December 14, 2018 @ 1:00 pm - 2:00 pm

Date:  14.12.2018

Time:  1:00 PM

Venue: ESB 244

Speaker: Biswajit Dutta (EE15D027)

Guide: Dr. David Koilpillai Co Guide: Dr. Rohit Budhiraja (EE, IIT Kanpur)

DC Members:

Dr. Srikrishna Bhashyam (Chairperson)

Dr. K. Giridhar

Dr.  Radha Krishna Ganti

Dr.  P Sriram


This talk we will discuss two problem statements. In the first part, we present a downlink multi-user flat fading channel, where a base station equipped with large number of antennas N_b multiplexes K symbols to K non-cooperating single antenna users via quantized Maximum Ratio Transmission (MRT) precoder. Each user feeds back CSI to the base station in the form of $B$ bits per transmit antenna. For such a setup, we quantify the scaling of the  number of users w.r.t. to the number of base station antennas such that multi-user interference at each user is cancelled. We prove that with  such scaling laws each user experiences an AWGN channel like BER asymptotically as the number of transmit antennas and users tend to large values. We proved the almost sure convergence of per user PEP under quantized perfect and quantized imperfect CSI and correlated channel conditions.In the second part, we present a hybrid precoder based on minimizing the chordal distance metric between the column spaces of the fully digital precoder and the analog constituent of the hybrid precoder. We prove that our design is BER optimal at large antenna dimensions under rich scattering environments and has a BER performance close to the BER performance of state-of-the art designs at significantly reduced encoding complexity cost.

All are cordially invited


December 14, 2018
1:00 pm - 2:00 pm
Event Category:


ESB – 244
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