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20182021
most citedAn Optimal Low-Complexity Energy-Efficient ADC Bit Allocation for Massive MIMO

12 citations · 14 across the 2 of their papers we have counts for

collaborators

5 papers

math.OC2021

A Low-Complexity Multi-Survivor Dynamic Programming for Constrained Discrete Optimization

I. Zakir Ahmed, Hamid Sadjadpour, Shahram Yousefi

Constrained discrete optimization problems are encountered in many areas of communication and machine learning. We consider the case where the objective function satisfies Bellman'…

eess.SP202112 cited

An Optimal Low-Complexity Energy-Efficient ADC Bit Allocation for Massive MIMO

I. Zakir Ahmed, Hamid Sadjadpour, Shahram Yousefi

Fixed low-resolution Analog to Digital Converters (ADC) help reduce the power consumption in millimeter-wave Massive Multiple-Input Multiple-Output (Ma-MIMO) receivers operating at…

eess.SP20192 cited

Optimal Bit Allocation Variable-Resolution ADC for Massive MIMO

I. Zakir Ahmed, Hamid Sadjadpour, Shahram Yousefi

In this paper, we derive an optimal ADC bit-allocation (BA) condition for a Single-User (SU) Millimeter wave (mmWave) Massive Multiple-Input Multiple-Output (Ma-MIMO) receiver equi…

eess.SP2018

Capacity analysis and bit allocation design for variable-resolution ADCs in Massive MIMO

I. Zakir Ahmed, Hamid Sadjadpour, Shahram Yousefi

We derive an expression for the capacity of massive multiple-input multiple-output Millimeter wave (mmWave) channel where the receiver is equipped with a variable-resolution Analog…

eess.SP2018

Single-User mmWave Massive MIMO: SVD-based ADC Bit Allocation and Combiner Design

I. Zakir Ahmed, Hamid Sadjadpour, Shahram Yousefi

In this paper, we propose a Singular-Value-Decomposition-based variable-resolution Analog to Digital Converter (ADC) bit allocation design for a single-user Millimeter wave massive…