Passive Localization of Multiple Sources Using Joint RSS and AOA Measurements in Spectrum Sharing System

In spectrum sharing systems,locating mul-tiple radiation sources can efficiently find out the in-truders,which protects the shared spectrum from ma-licious jamming or other unauthorized usage.Com-pared to single-source localization,simultaneously lo-cating multiple sources is more challenging in prac-tice since the association between measurement pa-rameters and source nodes are not known.More-over,the number of possible measurements-source as-sociations increases exponentially with the number of sensor nodes.It is crucial to discriminate which measurements correspond to the same source before localization.In this work,we propose a central-ized localization scheme to estimate the positions of multiple sources.Firstly,we develop two computa-tionally light methods to handle the unknown RSS-AOA measurements-source association problem.One method utilizes linear coordinate conversion to com-pute the minimum spatial Euclidean distance sum-mation of measurements.Another method exploits the long-short-term memory(LSTM)network to clas-sify the measurement sequences.Then,we propose a weighted least squares(WLS)approach to obtain the closed-form estimation of the positions by linearizing the non-convex localization problem.Numerical re-sults demonstrate that the proposed scheme could gain sufficient localization accuracy under adversarial sce-narios where the sources are in close proximity and the measurement noise is strong.

Cognitive J^(2)SAC:Joint Jamming,Sensing,and Communication Under Antagonistic Environment

Integrated sensing and communication(ISAC)is regarded as a recent advanced technology,which is expected to realize the dual functions of sensing and communication simultaneously in one system.Nevertheless,it still faces the challenges of the information security and transmission robustness caused by the openness of wireless channel,especially under antagonistic environment.Hence,this article develops a generalized framework,named cognitive joint jamming,sensing and communication(cognitive J2SAC),to empower the current sensing/communication/jamming system with a“brain”for realizing precise sensing,reliable communication and effective jamming under antagonistic environment.Three kinds of gains can be captured by cognitive J2SAC,including integrated gain,cooperative gain and cognitive gain.Moreover,we highlight the enabling mechanism among jamming,sensing,and communication,as well as illustrating several typical use cases of cognitive J2SAC.Furthermore,several key enabled technologies are analyzed and a typical sensing enhance integrated communication and jamming case study is discussed to verify the effectiveness of the proposed method.Last but not the least,the future directions are listed before concluding this article.Integrated sensing and communication(ISAC)is regarded as a recent advanced technology,which is expected to realize the dual functions of sensing and communication simultaneously in one system.Nevertheless,it still faces the challenges of the information security and transmission robustness caused by the openness of wireless channel,especially under antagonistic environment.Hence,this article develops a generalized framework,named cognitive joint jamming,sensing and communication(cognitive J2SAC),to empower the current sensing/communication/jamming system with a“brain”for realizing precise sensing,reliable communication and effective jamming under antagonistic environment.Three kinds of gains can be captured by cognitive J2SAC,including integrated gain,cooperative gain and cognitive gain.Moreover,we highlight the enabling mechanism among jamming,sensing,and communication,as well as illustrating several typical use cases of cognitive J2SAC.Furthermore,several key enabled technologies are analyzed and a typical sensing enhance integrated communication and jamming case study is discussed to verify the effectiveness of the proposed method.Last but not the least,the future directions are listed before concluding this article.

Discourse analysis of knowledge-based live streaming:a case study of East Buy streamer Dong Yuhui

Live streaming e-commerce is not only an important part of China’s digital economy but also the preferred way of purchase for many Chinese,especially the young.Since 2022,a new model initiated by East Buy has emerged,quickly becoming known as knowledge-based live streaming.The most famous streamer from this novel type of live streaming is Dong Yuhui,a former English teacher of the New Oriental School.As a top Internet influencer with millions of followers,Dong Yuhui has become a conspicuous social sign of the rising China that is undergoing fast technological,economic,and cultural changes.This study thus takes Dong Yuhui as an example to examine the typical discourses of the knowledge-based live streaming.Through a triangulation of case study,discourse analysis,and sentiment analysis,it finds that Dong Yuhui mainly employs the strategies of disseminating encyclopedic knowledge,telling intriguing stories,and using poetic language in his live streaming discourse.This unique discourse has the main function of fulfilling customers’intellectual,emotional,and psychological needs.As such,it is warmly received by customers,whose comments are centered on the talents of the streamer rather than the attributes of the commodity.

Topology tracking of dynamic UAV wireless networks

Wireless network is the communication foundation that supports the intelligentization of Unmanned Aerial Vehicle(UAV) swarm. The topology of UAV communication network is the key to understanding and analyzing the behavior of UAV swarm, thus supporting the further prediction of UAV operations. However, the UAV swarm network topology varies over time due to the high mobility and diversified mission requirements of UAVs. Therefore, it is important but challenging to research dynamic topology inference for tracking the topology changes of the UAV network,especially in non-cooperative manner. In this paper, we study the problem of inferring UAV swarm network topology based on external observations, and propose a dynamic topology inference method. First, we establish a sensing framework for acquiring the communication behavior of the target network over time. Then, we expand the multi-dimensional dynamic Hawkes process to model the communication event sequence in a dynamic wireless network. Finally, combining the sliding time window mechanism, the maximum weighted likelihood estimation is applied to inferring the network topology. Extensive simulation results demonstrate the effectiveness of the proposed method.

Linguistic expressions of despondency:an investigation of Sangness-related Chinese catchwords

Catchwords,as important social and cultural symbols,are the barometer of a country's society and culture.In China,various catchwords are coined and used every year by Chinese people,especially the young.Of these catchwords,one particular type that expresses despondency or Sangness is increasingly gaining scholarly attention.This study takes a socio-linguistic approach to investigating the most frequently used Sangness-related Chinese catchwords in the past ten years.By examining the annual top ten catchwords selected by Biting Words and Chewing Words between 2013 and 2022,it finds that the most frequently used Sangness-related Chinese catchwords in the past decade have been(1)Ge You Slouch,(2)feeling awful and wanting to cry,(3)Buddha-like,(4)996 work schedule,(5)life is too hard for me,(6)laborer,(7)involution,(8)lying flat,and(9)mental internal friction.These catchwords mainly serve the functions of deconstructing mainstream values,expressing self-mockery,and seeking value recognition.The development of these Sangness-related catchwords is characterized by an increasing diversity and a strongerapplicability.