activity
20172026
most citedA Low-Complexity Multi-Survivor Dynamic Programming for Constrained Discrete Optimization

2 citations · 4 across the 8 of their papers we have counts for

collaborators

10 papers

cs.IT2026

Multi-Agent Orchestration of 3GPP Channel Estimators

I. Zakir Ahmed, Hamid Sadjadpour

Pilot-aided channel estimation is a decisive block in orthogonal frequency-division multiplexing (OFDM) receivers for both 5G New Radio (5G-NR) and Long-Term Evolution (LTE). A lar…

eess.SP2024

Wireless communications with user equipment mounted Reconfigurable Intelligent Surfaces

I. Zakir Ahmed, Hamid Sadjadpour

In traditional Reconfigurable Intelligent Surfaces (RIS) systems, the RIS is mounted on stationary structures like buildings, walls, or posts. They have shown promising results in…

eess.SP2023

An ML-assisted OTFS vs. OFDM adaptable modem

I. Zakir Ahmed, Hamid R. Sadjadpour

The Orthogonal-Time-Frequency-Space (OTFS) signaling is known to be resilient to doubly-dispersive channels, which impacts high mobility scenarios. On the other hand, the Orthogona…

eess.SP2023

An information-theoretic branch-and-prune algorithm for discrete phase optimization of RIS in massive MIMO

I. Zakir Ahmed, Hamid R. Sadjadpour, Shahram Yousefi

In this paper, we consider passive RIS-assisted multi-user communication between wireless nodes to improve the blocked line-of-sight (LOS) link performance. The wireless nodes are…

eess.SP2021

Constrained Resource Allocation Problems in Communications: An Information-assisted Approach

I. Zakir Ahmed, Hamid Sadjadpour, Shahram Yousefi

We consider a class of resource allocation problems given a set of unconditional constraints whose objective function satisfies Bellman's optimality principle. Such problems are ub…

math.OC2021★ 2 cited

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.SP2019★ 2 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…

eess.SP2017

A Joint Combiner and Bit Allocation Design for Massive MIMO Using Genetic Algorithm

I. Zakir Ahmed, Hamid Sadjadpour, Shahram Yousefi

In this paper, we derive a closed-form expression for the combiner of a multiple-input-multiple-output (MIMO) receiver equipped with a minimum-mean-square-error (MMSE) estimator. W…