To support the unprecedented growth of Internet Things (IoT) applications, tremendous data need to be collected by IoT devices and delivered server for further computation. By utilizing same signals both radar sensing transmission, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">integrated communication</i> (ISAC) technique enables simultaneous collection delivery in physical layer. exploiting analog-wave addition property a multi-access...

As a revolution in networking, the Internet of Things (IoT) aims at automating operations our societies by connecting and leveraging an enormous number distributed devices (e.g., sensors actuators). One design challenge is efficient wireless data aggregation (WDA) over dense IoT devices. This can enable series applications ranging from latency-sensitive high-mobility sensing to data-intensive machine learning. Over-the-air (function) computation (AirComp) has emerged be promising solution...

To facilitate the development of Internet Things (IoT) services, tremendous IoT devices are deployed in wireless network to collect and pass data server for further processing. Aiming at improving sensing delivering efficiency, integrated communication (ISAC) technique has been proposed design dual-functional signals both radar communication. accelerate processing, function computation via signal transmission is enabled by over-the-air (AirComp), which based on analog-wave addition property...

Leveraging massive numbers of sensors in user equipment as well opportunistic human mobility, mobile crowd sensing (MCS) has emerged a powerful paradigm, where prolonging battery life constrained devices and motivating involvement are two key design challenges. To address these, we envision novel framework, named wirelessly powered (WPCS), which integrates MCS with wireless power transfer for supplying the involved extra energy thus facilitating incentivization. This paper considers...

With the access to tens of gigahertz bandwidth, terahertz (THz) wideband communication emerges as a promising technology for upcoming next generation mobile networks. To deal with severe path loss and blockage THz signals, massive multiple-input multiple-output intelligent reflecting surface (IRS) can be jointly employed. Due extremely large signal beams generated by transmit hybrid beamforming may point different directions around target direction at frequencies, which results in beam...

The deployment of federated learning in a wireless network, called <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">federated edge learning</i> (FEEL), exploits low-latency access to distributed mobile data efficiently train an AI model while preserving privacy. In this work, we study the spatial (i.e., spatially averaged) performance FEEL deployed large-scale cellular network with random devices. Both schemes digital and analog transmission...

Integrated sensing and communication (ISAC) capability is envisioned as one key feature for future cellular networks. Classical half-duplex (HD) radar conducted in a "first-emit-then-listen" manner. One challenge to realize HD ISAC lies the discrepancy of two systems' time scheduling transmitting receiving. This difficulty can be overcome by full-duplex (FD) transceivers. Besides, generally has comprise its rate due realizing functionality. loss compensated emerging reconfigurable...

To support the development of Internet Things (IoT) applications, an enormous population low-power devices are expected to be incorporated in wireless networks performing sensing and communication tasks. As a key technology for improving data collection efficiency, integrated sensing, (ISAC) enables simultaneous transmission radar by reusing same radio signals. In addition information carriers, signals can also serve as energy delivery, which power transfer (SWIPT). improve spectrum...

Noise attenuation for ordinary images using machine learning technology has achieved great success in the computer vision field. However, directly applying these models to seismic data would not be effective since evaluation criteria from geophysical domain require a high-quality visualized image and ability maintain original signals contaminated wavelets. This paper introduces an approach equipped with specially designed deep model that can effectively attenuate swell noise different...

Edge computing has become a popular paradigm to offload delay-sensitive tasks from mobile devices (MDs) edge servers. However, due the limited computation resources, may fail support increasing amount of data. In this paper, we consider collaborative and cloud network. For tasks, two optimization problems are formulated: 1) Quantity driven problem that aims maximize number served MDs; 2) Energy minimize energy consumption. Both mixed-integer nonlinear programming NP-hard. To derive optimal...

To facilitate the data collection process, simultaneous wireless information and power transfer utilizes same signal for powering devices delivering information, while integrated sensing communication transmission radar sensing. In next generation networks, sensing, communication, functionalities are expected to be together enhance radio resource efficiency enable by massive low-power devices, which leads new research direction namely integrating (ISCPT). The ISCPT beamforming design...

To support the unprecedented growth of Internet-of-Things (IoT) applications and radio access tremendous IoT devices, two new technologies have emerged recently to overcome shortage spectrum resources. The first one, known as integrated sensing communication (ISAC), aims share between radar data communication. second called over-the-air computation (AirComp), enables simultaneous transmission from multiple devices at same frequencies. promising performance ISAC AirComp motivates current work...

The rapid development of artificial intelligence together with the powerful computation capabilities advanced edge servers make it possible to deploy learning tasks at wireless network edge, which is dubbed as (EI). communication bottleneck between data resource and server results in deteriorated performance well tremendous energy consumption. To tackle this challenge, we explore a new paradigm called learning-and-energy-efficient (LEE) EI, simultaneously maximizes accuracies efficiencies...

Driven by the rapid growth of Internet Things applications, tremendous data need to be collected sensors and uploaded servers for further process. As a promising solution, mobile crowd sensing (MCS) enables controllable transmission processes multiple types in single device. Despite appealing advantages, existing works on MCS have mostly simplified two design issues, namely joint control corresponding energy consumption. To address above single-user system is considered with typical device...

In the future sixth-generation wireless communications, sensor networks (WSNs) are expected to support target sensing, information communication, and computational tasks concurrently over same spectrum. Integrated sensing communication (ISAC) over-the-air computation (AirComp) arise as two promising techniques. this article, we design an integrated computing framework improve spectrum efficiency quality of service in WSNs. We investigate omnidirectional directional beampattern designs...

The unprecedented growth of industrial Internet Things applications requires the evolution wireless networked control system (WNCS). WNCSs are becoming fundamental infrastructure technologies for critical due to main benefits reduced deployment and maintenance cost, as well enhanced flexibility safety. However, independent designs between communication without considering their tight interaction in conventional WNCS lead poor overall performance efficiency. Co-designs expected achieve target...

As the phenomenon of an aging population gradually becomes common worldwide, pressure on elderly has seen a notable increase. To address this challenge, fall detection systems are important in ensuring safety population, particularly those living alone. Wi-Fi sensing, as privacy-preserving method perception, can be deployed indoors for detecting human activities such falls, based reflective properties electromagnetic waves. Signals generated by transmitters experience reflections from...