activity
20192024
most citedHierarchical Multi-Agent Optimization for Resource Allocation in Cloud Computing

64 citations · 143 across the 23 of their papers we have counts for

collaborators

23 papers

cs.IT2024★ 10 cited

Spatial Multiplexing in Near-Field Line-of-Sight MIMO Communications: Paraxial and Non-Paraxial Deployments

Juan Carlos Ruiz-Sicilia, Marco Di Renzo, Placido Mursia +2

Sixth generation (6G) wireless networks are envisioned to include aspects of energy footprint reduction (sustainability), besides those of network capacity and connectivity, at the…

cs.IT2023

Time-Domain Channel Estimation for Extremely Large MIMO THz Communication Systems Under Dual-Wideband Fading Conditions

Evangelos Vlachos, Aryan Kaushik, Yonina C. Eldar +1

In this paper, we study the problem of extremely large (XL) multiple-input multiple-output (MIMO) channel estimation in the terahertz (THz) frequency band, considering the presence…

cs.IT2023★ 2 cited

Integrated Sensing and Communications for IoT: Synergies with Key 6G Technology Enablers

Aryan Kaushik, Rohit Singh, Ming Li +7

The Internet of Things (IoT) and wireless generations have been evolving simultaneously for the past few decades. Built upon wireless communication and sensing technologies, IoT ne…

cs.IT2023★ 1 cited

RIS-Assisted 6G Wireless Communications: A Novel Statistical Framework in the Presence of Direct Channel

Soumya P. Dash, Aryan Kaushik

A RIS-assisted wireless communication system in the presence of a direct communication path between the transceiver pair is considered in this paper. The transmitter-RIS and the RI…

eess.SP2023★ 2 cited

Reconfigurable Intelligent Surfaces Assisted Communication Under Different CSI Assumptions

Bayan Al-Nahhas, Qurrat-UI-Ain Nadeem, Aryan Kaushik +1

This work studies the net sum-rate performance of a distributed reconfigurable intelligent surfaces (RISs)-assisted multi-user multiple-input-single-output (MISO) downlink communic…

cs.IT2023★ 5 cited

Towards Integrated Sensing and Communications for 6G: A Standardization Perspective

Aryan Kaushik, Rohit Singh, Shalanika Dayarathna +8

The radio communication division of the International Telecommunication Union (ITU-R) has recently adopted Integrated Sensing and Communication (ISAC) among the key usage scenarios…

cs.IT2023★ 1 cited

RIS-Aided Index Modulation with Greedy Detection over Rician Fading Channels

Aritra Basu, Soumya P. Dash, Aryan Kaushik +3

Index modulation schemes for reconfigurable intelligent surfaces (RIS)-assisted systems are envisioned as promising technologies for fifth-generation-advanced and sixth-generation…

cs.NI2023★ 2 cited

Green UAV-enabled Internet-of-Things Network with AI-assisted NOMA for Disaster Management

Muhammad Ali Jamshed, Ferheen Ayaz, Aryan Kaushik +2

Unmanned aerial vehicle (UAV)-assisted communication is becoming a streamlined technology in providing improved coverage to the internet-of-things (IoT) based devices. Rapid deploy…

cs.IT2023★ 1 cited

Indexed Multiple Access with Reconfigurable Intelligent Surfaces: The Reflection Tuning Potential

Rohit Singh, Aryan Kaushik, Wonjae Shin +3

Indexed modulation (IM) is an evolving technique that has become popular due to its ability of parallel data communication over distinct combinations of transmission entities. In t…

eess.SP2022

Millimeter Wave Channel Estimation for Lens based Hybrid MIMO with Low Resolution ADCs

Evangelos Vlachos, Aryan Kaushik, Muhammad Z. Shakir

The high path loss associated with millimeter wave (mmWave) frequency communication can be compensated by large scale antenna arrays such as multiple-input multiple-output (MIMO) s…

eess.SP2022

Flexible Hybrid Beamforming for Spectrally Efficient 6G Joint Radar-Communications

Aryan Kaushik, Evangelos Vlachos, Muhammad Z. Shakir +2

Joint radar-communications (JRC) benefits from multi-functionality of radar and communication operations using same hardware and radio frequency (RF) spectrum resources. Thus JRC s…

cs.IT2022★ 1 cited

Covariance-Based Hybrid Beamforming for Spectrally Efficient Joint Radar-Communications

Evangelos Vlachos, Aryan Kaushik

Joint radar-communications (JRC) is considered to be a vital technology in deploying the next generation systems, since its useful in decongestion of the radio frequency (RF) spect…

cs.IT2022★ 1 cited

Energy Efficient Dual-Functional Radar-Communication: Rate-Splitting Multiple Access, Low-Resolution DACs, and RF Chain Selection

Onur Dizdar, Aryan Kaushik, Bruno Clerckx +1

Dual-Functional Radar-Communication systems enhance the benefits of communications and radar sensing by jointly implementing these on the same hardware platform and using the commo…

eess.SP2021★ 1 cited

Pre-scaling and Codebook Design for Joint Radar and Communication Based on Index Modulation

Shengyang Chen, Aryan Kaushik, Christos Masouros

This paper develops an efficient index modulation (IM) approach for the joint radar-communication (JRC) system based on a multi-carrier multiple-input multiple-output (MIMO) radar.…

eess.SP2021

Rate-Splitting Multiple Access for Joint Radar-Communications with Low-Resolution DACs

Onur Dizdar, Aryan Kaushik, Bruno Clerckx +1

In this paper, we introduce the design of a multi-antenna Joint Radar-Communication (JRC) system with Rate Splitting Multiple Access (RSMA) and low resolution Digital-to-Analog Con…

eess.SP2021★ 3 cited

Hardware Efficient Joint Radar-Communications with Hybrid Precoding and RF Chain Optimization

Aryan Kaushik, Christos Masouros, Fan Liu

In this paper, we aim to achieve energy efficient design with minimum hardware requirement for hybrid precoding, which enables a large number of antennas with minimal number of RF…

cs.NI2021★ 2 cited

A Distributed Virtual Network Function Placement Approach in Satellite Edge and Cloud Computing

Xiangqiang Gao, Rongke Liu, Aryan Kaushik

Satellite edge computing has become a promising way to provide computing services for Internet of Things (IoT) devices in remote areas, which are out of the coverage of terrestrial…

cs.NI2020★ 2 cited

Virtual Network Function Placement in Satellite Edge Computing with a Potential Game Approach

Xiangqiang Gao, Rongke Liu, Aryan Kaushik

Satellite networks, as a supplement to terrestrial networks, can provide effective computing services for Internet of Things (IoT) users in remote areas. Due to the resource limita…

cs.NI2020★ 26 cited

Service Chaining Placement Based on Satellite Mission Planning in Ground Station Networks

Xiangqiang Gao, Rongke liu, Aryan Kaushik

As the increase in satellite number and variety, satellite ground stations should be required to offer user services in a flexible and efficient manner. Network function virtualiza…

eess.SP2020

Energy Efficiency Maximization in Millimeter Wave Hybrid MIMO Systems for 5G and Beyond

Aryan Kaushik, John Thompson, Evangelos Vlachos

At millimeter wave (mmWave) frequencies, the higher cost and power consumption of hardware components in multiple-input multiple output (MIMO) systems do not allow beamforming enti…

cs.DC2020★ 64 cited

Hierarchical Multi-Agent Optimization for Resource Allocation in Cloud Computing

Xiangqiang Gao, Rongke Liu, Aryan Kaushik

In cloud computing, an important concern is to allocate the available resources of service nodes to the requested tasks on demand and to make the objective function optimum, i.e.,…

eess.SP2019★ 2 cited

Joint Bit Allocation and Hybrid Beamforming Optimization for Energy Efficient Millimeter Wave MIMO Systems

Aryan Kaushik, Evangelos Vlachos, Christos Tsinos +2

In this paper, we aim to design highly energy efficient end-to-end communication for millimeter wave multiple-input multiple-output systems. This is done by jointly optimizing the…

eess.SP2019★ 17 cited

Energy Efficient ADC Bit Allocation and Hybrid Combining for Millimeter Wave MIMO Systems

Aryan Kaushik, Christos Tsinos, Evangelos Vlachos +1

Low resolution analog-to-digital converters (ADCs) can be employed to improve the energy efficiency (EE) of a wireless receiver since the power consumption of each ADC is exponenti…