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Joint communications and sensing (JCAS) is envisioned as a key feature in future wireless communications networks. In massive MIMO-JCAS systems, hybrid beamforming (HBF) is typically employed to achieve satisfactory beamforming gains with…

In this paper, we propose a low-complexity and fast hybrid beamforming design for joint communications and sensing (JCAS) based on deep unfolding. We first derive closed-form expressions for the gradients of the communications sum rate and…

信号处理 · 电气工程与系统科学 2024-11-28 Nhan Thanh Nguyen , Ly V. Nguyen , Nir Shlezinger , Yonina C. Eldar , A. Lee Swindlehurst , Markku Juntti

In this article, we study the joint communication and sensing (JCAS) paradigm in the context of millimeter-wave (mm-wave) mobile communication networks. We specifically address the JCAS challenges stemming from the full-duplex operation and…

In conventional joint communications and sensing (JCAS) designs for multi-carrier multiple-input multiple-output (MIMO) systems, the dual-functional waveforms are often optimized for the whole frequency band, resulting in limited…

信息论 · 计算机科学 2023-06-27 Nhan Thanh Nguyen , Nir Shlezinger , Khac-Hoang Ngo , Van-Dinh Nguyen , Markku Juntti

Joint communications and sensing (JCAS) is expected to be a crucial technology for future wireless systems. This paper investigates beamforming design for a multi-user multi-target JCAS system to ensure fairness and balance between…

信号处理 · 电气工程与系统科学 2024-11-27 Mengyuan Ma , Tianyu Fang , Nir Shlezinger , A. L. Swindlehurst , Markku Juntti , Nhan Nguyen

Beamforming has great potential for joint communication and sensing (JCAS), which is becoming a demanding feature on many emerging platforms such as unmanned aerial vehicles and smart cars. Although beamforming has been extensively studied…

信号处理 · 电气工程与系统科学 2020-06-16 J. Andrew Zhang , Xiaojing Huang , Y. Jay Guo , Jinhong Yuan , Robert W. Heath

The evolution of wireless communication systems towards millimeter-wave ($30-100$ GHz) and sub-THz ($>100$ GHz) frequency bands highlighted the need for accurate and fast beam management and a proactive link-blockage prediction in…

信号处理 · 电气工程与系统科学 2021-11-25 Luca Rinaldi , Dario Tagliaferri , Francesco Linsalata , Marouan Mizmizi , Maurizio Magarini , Umberto Spagnolini

Joint Communication and Sensing (JCAS) platforms are emerging as a foundation of next-generation mmWave (MMW) and sub-THz systems, enabling both high-throughput data transfer and angular localization within a shared signal path. This paper…

Multicast beamforming is a promising technique for multicast communication. Providing an efficient and powerful beamforming design algorithm is a crucial issue because multicast beamforming problems such as a max-min-fair problem are…

信息论 · 计算机科学 2020-04-21 Satoshi Takabe , Tadashi Wadayama

Deep unfolding is a method of growing popularity that fuses iterative optimization algorithms with tools from neural networks to efficiently solve a range of tasks in machine learning, signal and image processing, and communication systems.…

信号处理 · 电气工程与系统科学 2019-10-09 Alexios Balatsoukas-Stimming , Christoph Studer

In this paper, we study optimal waveform design to maximize mutual information (MI) for a joint communication and (radio) sensing (JCAS, a.k.a., radar-communication) multi-input multi-output (MIMO) downlink system. We consider a typical…

信号处理 · 电气工程与系统科学 2020-02-04 Xin Yuan , Zhiyong Feng , J. Andrew Zhang , Wei Ni , Ren Ping Liu , Zhiqing Wei , Changqiao Xu

The full-duplex (FD) technology has the potential to radically evolve wireless systems, facilitating the integration of both communications and radar functionalities into a single device, thus, enabling joint communication and sensing…

The paradigm of joint communications and sensing (JCAS) envisions a revolutionary integration of communication and radar functionalities within a unified hardware platform. This novel concept not only opens up unprecedented interoperability…

Joint Communication and Sensing (JCAS) is foreseen as one very distinctive feature of the emerging 6G systems providing, in addition to fast end reliable communication, the ability to obtain an accurate perception of the physical…

信号处理 · 电气工程与系统科学 2023-09-14 Andrea Bedin , Shaghayegh Shahcheraghi , Traian E. Abrudan , Arash Asadi

Joint communication and sensing (JCAS) is a very promising 6G technology, which attracts more and more research attention. Compared with communication, radar has many unique features in terms of waveform design criteria, self-interference…

信号处理 · 电气工程与系统科学 2024-12-02 Yihua Ma , Zhifeng Yuan , Shuqiang Xia , Guanghui Yu , Liujun Hu

Joint communication and radar sensing (JCAS) integrates communication and radar/radio sensing into one system, sharing one transmitted signal. In this paper, we investigate JCAS waveform optimization underlying communication signals, where…

信号处理 · 电气工程与系统科学 2020-11-24 Zhitong Ni , J. Andrew Zhang , Kai Yang , Xiaojing Huang , Theodoros A. Tsiftsis

Joint communication and sensing (JCAS) has the potential to improve the overall energy, cost and frequency efficiency of IoT systems. As a first effort, we propose to optimize the MIMO-OFDM data symbols carried by sub-carriers for better…

信号处理 · 电气工程与系统科学 2022-08-23 Kai Wu , J. Andrew Zhang , Zhitong Ni , Xiaojing Huang , Y. Jay Guo , Shanzhi Chen

Empowering cellular networks with augmented sensing capabilities is one of the key research areas in 6G communication systems. Recently, we have witnessed a plethora of efforts to devise solutions that integrate sensing capabilities into…

信号处理 · 电气工程与系统科学 2025-01-31 Lu Wang , Luis F. Abanto-Leon , Arash Asadi

To mitigate the radar and communication frequency overlapping caused by massive devices access, we propose a novel joint communication and sensing (JCS) system in this paper, where a micro base station (MiBS) can realize target sensing and…

This paper considers joint beamformer design towards maximizing the mutual information in a coherent wireless sensor network with noisy observation and multiple antennae. Leveraging the weighted minimum mean square error and block…

信息论 · 计算机科学 2015-11-12 Yang Liu , Jing Li , Xuanxuan Lu
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