English
Related papers

Related papers: Handover Management for mmWave Networks with Proac…

200 papers

Next-generation wireless networks will rely on mmWave/sub-THz spectrum and extremely large antenna arrays (ELAAs). This will push their operation into the near field where far-field beam management degrades and beam training becomes more…

Signal Processing · Electrical Eng. & Systems 2025-11-18 Zijun Wang , Anjali Omer , Jacob Chakareski , Nicholas Mastronarde , Rui Zhang

In modern on-driving computing environments, many sensors are used for context-aware applications. This paper utilizes two deep learning models, U-Net and EfficientNet, which consist of a convolutional neural network (CNN), to detect hand…

Signal Processing · Electrical Eng. & Systems 2022-11-08 Hankyul Baek , Yoo Jeong , Ha , Minjae Yoo , Soyi Jung , Joongheon Kim

This paper aims to develop resilient transmission mechanisms to suitably distribute traffic across multiple paths in an arbitrary millimeter-wave (mmWave) network. The main contributions include: (a) the development of proactive…

Information Theory · Computer Science 2022-11-18 Mine Gokce Dogan , Martina Cardone , Christina Fragouli

This paper studies the joint beamwidth and transmit power optimization problem in millimeter wave communication systems. A deep reinforcement learning based approach is proposed. Specifically, a customized deep Q network is trained offline,…

Information Theory · Computer Science 2020-06-25 Jiabao Gao , Caijun Zhong , Xiaoming Chen , Hai Lin , Zhaoyang Zhang

Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) has been regarded to be an emerging solution for the next generation of communications, in which hybrid analog and digital precoding is an important method for reducing…

Signal Processing · Electrical Eng. & Systems 2019-01-23 Hongji Huang , Yiwei Song , Jie Yang , Guan Gui , Fumiyuki Adachi

Increasing attention is being paid to millimeter-wave (mmWave), 30 GHz to 300 GHz, and terahertz (THz), 300 GHz to 10 THz, sensing applications including security sensing, industrial packaging, medical imaging, and non-destructive testing.…

Signal Processing · Electrical Eng. & Systems 2023-06-28 Josiah Smith

This paper proposes a novel neural network architecture, that we call an auto-precoder, and a deep-learning based approach that jointly senses the millimeter wave (mmWave) channel and designs the hybrid precoding matrices with only a few…

Information Theory · Computer Science 2019-05-31 Xiaofeng Li , Ahmed Alkhateeb

In 5G cellular networks, frequency range 2 (FR2) introduces higher frequencies that cause rapid signal degradation and challenge user mobility. In recent studies, a conditional handover procedure has been adopted as an enhancement to…

Networking and Internet Architecture · Computer Science 2023-09-20 Subhyal Bin Iqbal , Umur Karabulut , Ahmad Awada , Andre Noll Barreto , Philipp Schulz , Gerhard P. Fettweis

The sensitivity to blockages is a key challenge for the high-frequency (5G millimeter wave and 6G sub-terahertz) wireless networks. Since these networks mainly rely on line-of-sight (LOS) links, sudden link blockages highly threaten the…

Signal Processing · Electrical Eng. & Systems 2021-02-23 Gouranga Charan , Muhammad Alrabeiah , Ahmed Alkhateeb

In typical wireless cellular systems, the handover mechanism involves reassigning an ongoing session handled by one cell into another. In order to support increased capacity requirement and to enable newer use cases, the next generation…

Information Theory · Computer Science 2020-10-20 Vijaya Yajnanarayana , Henrik Rydén , László Hévizi

The quality of data representation in deep learning methods is directly related to the prior model imposed on the representations; however, generally used fixed priors are not capable of adjusting to the context in the data. To address this…

Machine Learning · Computer Science 2013-03-18 Rakesh Chalasani , Jose C. Principe

This paper discusses recent advancements made in the fast prediction of signal power in mmWave communications environments. Using machine learning (ML) it is possible to train models that provide power estimates with both good accuracy and…

Signal Processing · Electrical Eng. & Systems 2024-09-04 Muyao Chen , Mathieu Châteauvert , Jonathan Ethier

This paper investigates a novel research direction that leverages vision to help overcome the critical wireless communication challenges. In particular, this paper considers millimeter wave (mmWave) communication systems, which are…

Information Theory · Computer Science 2019-11-18 Muhammad Alrabeiah , Andrew Hredzak , Ahmed Alkhateeb

In many Cyber-Physical Systems, we encounter the problem of remote state estimation of geographically distributed and remote physical processes. This paper studies the scheduling of sensor transmissions to estimate the states of multiple…

Systems and Control · Computer Science 2020-05-28 Alex S. Leong , Arunselvan Ramaswamy , Daniel E. Quevedo , Holger Karl , Ling Shi

Due to the short wavelength and large attenuation of millimeter-wave (mmWave), mmWave BSs are densely distributed and require beamforming with high directivity. When the user moves out of the coverage of the current BS or is severely…

Signal Processing · Electrical Eng. & Systems 2022-07-13 Bo Lin , Feifei Gao , Yong Zhang , Chengkang Pan , Guangyi Liu

Due to an ever-increasing number of participants and new areas of application, the demands on mobile communications systems are continually increasing. In order to deliver higher data rates, enable mobility and guarantee QoS requirements of…

Networking and Internet Architecture · Computer Science 2024-01-29 Peter J. Gu , Johannes Voigt , Peter M. Rost

Millimeter Wave (MmWave) communication is one of the key technology of the fifth generation (5G) wireless systems to achieve the expected 1000x data rate. With large bandwidth at mmWave band, the link capacity between users and base…

Signal Processing · Electrical Eng. & Systems 2019-03-19 Mingjie Feng , Shiwen Mao

Vehicular communication systems operating in the millimeter wave (mmWave) band are highly susceptible to signal blockage from dynamic obstacles such as vehicles, pedestrians, and infrastructure. To address this challenge, we propose a…

Machine Learning · Computer Science 2025-07-22 Ahmad M. Nazar , Abdulkadir Celik , Mohamed Y. Selim , Asmaa Abdallah , Daji Qiao , Ahmed M. Eltawil

Wireless communications at high-frequency bands with large antenna arrays face challenges in beam management, which can potentially be improved by multimodality sensing information from cameras, LiDAR, radar, and GPS. In this paper, we…

Signal Processing · Electrical Eng. & Systems 2023-09-22 Yu Tian , Qiyang Zhao , Zine el abidine Kherroubi , Fouzi Boukhalfa , Kebin Wu , Faouzi Bader

The handover (HO) procedure is one of the most critical functions in a cellular network driven by measurements of the user channel of the serving and neighboring cells. The success rate of the entire HO procedure is significantly affected…

Machine Learning · Computer Science 2024-11-18 Dino Pjanić , Alexandros Sopasakis , Andres Reial , Fredrik Tufvesson