Advancement: Energy-Efficient Massive MIMO For 5G Wireless Networks: Variable-Resolution ADC Bit-allocation, Precoder and Combiner Design

Speaker Name: 
Fnu Ishaq Basha Zakir Ahmed
Speaker Title: 
PhD Student (Advisor: Hamid Sadjadpour)
Speaker Organization: 
Electrical Engineering
Start Time: 
Friday, September 7, 2018 - 10:00am
End Time: 
Friday, September 7, 2018 - 12:00pm
Location: 
Engineering 2, Room 599
Organizer: 
Hamid Sadjadpour

Abstract:  We study the adoption of variable-bit-resolution Analog-to-Digital Converters (ADC) in massive multiple-input-multiple-output (Ma-MIMO) receivers in the context of improvising the energy efficiency. The 5G standards are defining the next generation of mobile communications. The 5G requirements constitute a huge leap in all dimensions compared to the existing 4G networks operational today encompassing attributes like peak data rates, user data rates, spectrum efficiency, mobility, latency, network densification and last but not least network energy efficiency. All the above requirements need to be satisfied with a network energy efficiency of 100x compared to today’s existing 4G LTE/LTE-A networks. This is leading to a plethora of emerging technologies to fill the gap in requirements. One of the technologies is Ma-MIMO. Large number of antennas both at the base station (termed eNodeB in LTE and gNodeB in 5G-New radio standards), access p! oints, user Equipment (mobile phones) etc., leads to increased hardware cost and power consumption. ADCs operating at large bandwidths and full bit resolution (12-16 bits) surpass the power amplifiers as the most power hungry components in this communication framework. Low-resolution, e.g., 1-bit,  ADCs received a great deal of attention over the last few years. This research focuses on adopting Ma-MIMO variable-resolution receiver ADCs that have the ability to switch resolution over the coherence time of the channel. We intend to develop baseband algorithms for bit-allocation as well as precoder and combiner design to optimize the receiver performance under a power constraint.