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04/16/2023
Adaptive Learning-Based Maximum Likelihood and Channel-Coded Detection for Massive MIMO Systems with One-Bit ADCs
In this paper, we propose a learning-based detection framework for uplin...
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11/13/2022
Adaptive Learning-Based Detection for One-Bit Quantized Massive MIMO Systems
We propose an adaptive learning-based framework for uplink massive multi...
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08/08/2022
Coordinated Per-Antenna Power Minimization for Multicell Massive MIMO Systems with Low-Resolution Data Converters
In this paper, we investigate multicell-coordinated beamforming for larg...
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10/19/2021
Coordinated Beamforming in Quantized Massive MIMO Systems with Per-Antenna Constraints
In this work, we present a solution for coordinated beamforming for larg...
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04/04/2021
Adaptive Self-Interference Cancellation for Full-Duplex Wireless Communication Systems
In this letter, we consider single-cell, single-user systems wherein upl...
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05/25/2020
Coordinated Multicell Beamforming and Power Allocation for Massive MIMO with low-resolution ADC/DAC
In this work, we present a solution for coordinated beamforming and powe...
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05/16/2020
Quantized Massive MIMO Systems with Multicell Coordinated Beamforming and Power Control
In this paper, we investigate a coordinated multipoint (CoMP) beamformin...
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05/02/2020
Compressed-Sensing based Beam Detection in 5G NR Initial Access
To support millimeter wave (mmWave) frequency bands in cellular communic...
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03/07/2020
Advanced Receiver Architectures for Millimeter Wave Communications with Low-Resolution ADCs
Deploying large antenna arrays coupled with high-speed and high-resoluti...
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10/02/2019
Deep Learning Predictive Band Switching in Wireless Networks
In cellular systems, the user equipment (UE) can request a change in the...
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09/21/2019
Hybrid Beamformer Codebook Design and Ordering for Compressive mmWave Channel Estimation
In millimeter wave (mmWave) communication systems, beamforming with larg...
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09/21/2019
Versatile Compressive mmWave Hybrid Beamformer Codebook Design Framework
Hybrid beamforming (HB) architectures are attractive for wireless commun...
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06/30/2019
Base Station Antenna Selection for Low-Resolution ADC Systems
This paper investigates antenna selection at a base station with large a...
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06/29/2019
Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination
The fifth generation of wireless communications (5G) promises massive in...
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12/09/2018
Deep Learning in Downlink Coordinated Multipoint in New Radio Heterogeneous Networks
We propose a method to improve the performance of the downlink coordinat...
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11/30/2018
Robust Learning-Based ML Detection for Massive MIMO Systems with One-Bit Quantized Signals
In this paper, we investigate learning-based maximum likelihood (ML) det...
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11/30/2018
A Hybrid Beamforming Receiver with Two-Stage Analog Combining and Low-Resolution ADCs
In this paper, we propose a two-stage analog combining architecture for ...
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08/13/2018
A Framework for Automated Cellular Network Tuning with Reinforcement Learning
Tuning cellular network performance against always occurring wireless im...
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08/02/2018
Two-Stage Analog Combining in Hybrid Beamforming Systems with Low-Resolution ADCs
In this paper, we investigate hybrid analog/digital beamforming for mult...
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05/25/2018
Analysis of Ergodic Rate for Transmit Antenna Selection in Low-Resolution ADC Systems
In this paper, we analyze the ergodic rate of single transmit antenna se...
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04/09/2018
User Scheduling for Millimeter Wave Hybrid Beamforming Systems with Low-Resolution ADCs
We investigate uplink user scheduling for millimeter wave (mmWave) hybri...
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01/30/2018
Antenna Selection for Large-Scale MIMO Systems with Low-Resolution ADCs
One way to reduce the power consumption in large-scale multiple-input mu...
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12/06/2017
ADC Bit Optimization for Spectrum- and Energy-Efficient Millimeter Wave Communications
A spectrum- and energy-efficient system is essential for millimeter wave...
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10/05/2017
Partially Blind Handovers for mmWave New Radio Aided by Sub-6 GHz LTE Signaling
For a base station that supports cellular communications in sub-6 GHz LT...
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10/05/2017
Machine Learning Approach to Estimating mmWave Signal Measurements During Handover
We propose to estimate mmWave received signal power levels using supervi...
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07/10/2017
Q-Learning Algorithm for VoLTE Closed-Loop Power Control in Indoor Small Cells
We propose a reinforcement learning (RL) based closed loop power control...
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07/10/2017
Improving Downlink Coordinated Multipoint Performance in Heterogeneous Networks
We propose a novel method for practical Joint Processing downlink coordi...
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07/10/2017
Deep Q-Learning for Self-Organizing Networks Fault Management and Radio Performance Improvement
We propose an algorithm to automate fault management in an outdoor cellu...
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07/10/2017
Deep Reinforcement Learning for Improving Downlink mmWave Communication Performance
We propose a method to improve the DL SINR for a single cell indoor base...
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08/30/2016
Machine Learning in Downlink Coordinated Multipoint in Heterogeneous Networks
We propose a method for practical downlink coordinated multipoint (DL Co...
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06/07/2013
A Factor Graph Approach to Joint OFDM Channel Estimation and Decoding in Impulsive Noise Environments
We propose a novel receiver for orthogonal frequency division multiplexi...
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03/05/2013