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Profil bibliographique

Arumugam Kannan

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

11Publications signalées
93Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Advanced MIMO Systems OptimizationMillimeter-Wave Propagation and ModelingMicrowave Engineering and WaveguidesSoftware-Defined Networks and 5GAdvanced Wireless Communication Technologies

Les publications récentes

Accès ouvert 2025 article OpenAlex

Scalable Sensing-Assisted Communication: Digital Twin Technologies and Experimental Study

Yucheng Dai, Wooseok Nam, Lokesh Jain, Satyam Gaba et autres

The integration of sensing and communications has recently attracted considerable attention from both academia and industry. In line with this, the 3rd Generation Partnership Project (3GPP) has initiated efforts to standardize Integrated Sensing and Communication (ISAC), which is widely seen as an …

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0 citations IEEE Journal of Selected Topics in Electromagnetics Antennas and Propagation
2025 article OpenAlex

Millimeter Wave Full-Duplex Systems: System-Level Evaluation and Over-the-Air Verification

Min Soo Sim, Wooseok Nam, Arumugam Kannan, Hua Wang et autres

With much work having been done in the last decade, the deployment of full-duplex (FD) communication has become imminent in fifth-generation (5G) advanced wireless communications. Combined with millimeter-wave (mmWave) communication, already mature in 5G, mmWave FD communication is envisioned as a key …

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3 citations IEEE Wireless Communications
2024 conference-paper OpenAlex

Artificial Intelligence and Machine Learning Based Beam Prediction in 5G-Advanced and 6G Communications

Qiaoyu Li, Philip Sisk, Arumugam Kannan, Tao Luo et autres

Artificial intelligence (AI) or machine learning (ML) based spatial/temporal-domain beam prediction was studied by Release-18 and is currently being specified by Release-19, in the 3rd Generation Partnership Project (3GPP) fifth generation (5G)-Advanced standardization for future commercialization and standard evolution towards sixth generation …

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7 citations
2024 conference-paper OpenAlex

Digital Twin Powered Next Generation Wireless Networks: Construction, Validation, and Applications

Aditya Jolly, Berk Akgun, Balwinder Sachdev, Divya Ravichandran et autres

Digital Twin (DT) technology has recently emerged as a powerful tool with the potential to revolutionize wireless systems as it enables accurate simulations, better decision-making, and tangible operational improvements. Prior studies on DT within the context of next generation wireless technologies has …

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3 citations
Accès ouvert 2024 article OpenAlex

Interference-Aware Intelligent Scheduling for Virtualized Private 5G Networks

Berk Akgun, Deepak Singh, Samatha Kotla, Vikas Jain et autres

Private Fifth Generation (5G) Networks can quickly scale coverage and capacity for diverse industry verticals by using the standardized 3rd Generation Partnership Project (3GPP) and Open Radio Access Network (O-RAN) interfaces that enable disaggregation, network function virtualization, and hardware accelerators. These private …

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17 citations IEEE Access
Accès ouvert 2024 article OpenAlex

Advancing Next Generation Wireless Networks With Digital Twin: Construction, Validation, and Real-World Applications on an Indoor Over-the-Air Testbed

Berk Akgun, Aditya Jolly, Balwinder Sachdev, Divya Ravichandran et autres

Digital Twin (DT) technology has recently emerged as a powerful tool with the potential to revolutionize wireless systems as it enables accurate simulations, better decision-making, and tangible operational improvements. Prior studies on DT within the context of next generation wireless technologies have …

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7 citations IEEE Access
2023 conference-paper OpenAlex

Deep Learning for Probabilistic Interference Predictions in mmWave Networks

Mohamed F. Marzban, Wooseok Nam, Tao Luo, Arumugam Kannan et autres

In wireless communications, interference characterization, prediction, and feedback allow efficient radio resource management and enable advanced scheduling techniques. In this paper, we propose a new probabilistic deep learning algorithm for interference prediction on future resources. First, we study the interference characteristics in …

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5 citations
2023 article OpenAlex

Machine Learning Based Time Domain Millimeter-Wave Beam Prediction for 5G-Advanced and Beyond: Design, Analysis, and Over-The-Air Experiments

Qiaoyu Li, Philip Sisk, Arumugam Kannan, Taesang Yoo et autres

Artificial intelligence (AI) or machine learning (ML) based beam prediction is currently studied in the 3rd Generation Partnership Project (3GPP) fifth generation (5G)-Advanced new ratio (NR) standardization for future commercialization and standard evolution towards sixth generation (6G) communications, wherein time domain (TD) …

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38 citations IEEE Journal on Selected Areas in Communications
2022 conference-paper OpenAlex

Long Short-Term Memory Based Millimeter Wave Beam Change Prediction via Real-World Data

Qiaoyu Li, Arumugam Kannan, Himanshu Josh, Taesang Yoo et autres

Beam management (BM) is a key component in fifth generation (5G), 5G-Advanced, and sixth generation (6G) millimeter-wave (mmWave) operations. Due to mobility or rotation of user equipment (UE), frequent beam measurements and search are needed at the UE based on also frequently …

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7 citations 2022 IEEE Globecom Workshops (GC Wkshps)
2022 conference-paper OpenAlex

A Cooperative Device Free Wireless Sensing Design and Analysis for Target Position Estimation

Yucheng Dai, Wooseok Nam, Tao Luo, Arumugam Kannan

Owing to the development in both hardware man-ufacturing and signal processing techniques, a User Equipment (UE) has evolved into not just a communication tool but also an advanced device which can perceive the environment. Although current sensing designs at UE side mainly …

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6 citations 2022 IEEE International Conference on Communications Workshops (ICC Workshops)

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