随着智能信息社会的不断演进以及智慧城市建设的推进,电子设备的定位准确性和可靠性需求日益突显,特别是在万物互联的背景下,对定位精度和定位质量的要求变得更加迫切。无源定位技术因隐蔽性强、功耗低、不易被感知与干扰等诸多优点被...随着智能信息社会的不断演进以及智慧城市建设的推进,电子设备的定位准确性和可靠性需求日益突显,特别是在万物互联的背景下,对定位精度和定位质量的要求变得更加迫切。无源定位技术因隐蔽性强、功耗低、不易被感知与干扰等诸多优点被广泛应用于各个领域,尤其近年来,通感一体化(Integrated Sensing and Communication, ISAC)、机器学习、环境反向散射以及智能反射面的引入与发展,为无源定位在6G中的应用提供了新的契机。基于此,阐述了无源定位技术特点及分类;按照参数化的分类方式总结梳理无源定位方法及误差影响因素;讨论了多参数融合无源定位方案与优势;展望了无源定位技术在6G新愿景下典型的应用场景、潜在技术、挑战及未来研究方向。展开更多
In this article,the secure computation efficiency(SCE)problem is studied in a massive multipleinput multiple-output(mMIMO)-assisted mobile edge computing(MEC)network.We first derive the secure transmission rate based ...In this article,the secure computation efficiency(SCE)problem is studied in a massive multipleinput multiple-output(mMIMO)-assisted mobile edge computing(MEC)network.We first derive the secure transmission rate based on the mMIMO under imperfect channel state information.Based on this,the SCE maximization problem is formulated by jointly optimizing the local computation frequency,the offloading time,the downloading time,the users and the base station transmit power.Due to its difficulty to directly solve the formulated problem,we first transform the fractional objective function into the subtractive form one via the dinkelbach method.Next,the original problem is transformed into a convex one by applying the successive convex approximation technique,and an iteration algorithm is proposed to obtain the solutions.Finally,the stimulations are conducted to show that the performance of the proposed schemes is superior to that of the other schemes.展开更多
文摘随着智能信息社会的不断演进以及智慧城市建设的推进,电子设备的定位准确性和可靠性需求日益突显,特别是在万物互联的背景下,对定位精度和定位质量的要求变得更加迫切。无源定位技术因隐蔽性强、功耗低、不易被感知与干扰等诸多优点被广泛应用于各个领域,尤其近年来,通感一体化(Integrated Sensing and Communication, ISAC)、机器学习、环境反向散射以及智能反射面的引入与发展,为无源定位在6G中的应用提供了新的契机。基于此,阐述了无源定位技术特点及分类;按照参数化的分类方式总结梳理无源定位方法及误差影响因素;讨论了多参数融合无源定位方案与优势;展望了无源定位技术在6G新愿景下典型的应用场景、潜在技术、挑战及未来研究方向。
基金The Natural Science Foundation of Henan Province(No.232300421097)the Program for Science&Technology Innovation Talents in Universities of Henan Province(No.23HASTIT019,24HASTIT038)+2 种基金the China Postdoctoral Science Foundation(No.2023T160596,2023M733251)the Open Research Fund of National Mobile Communications Research Laboratory,Southeast University(No.2023D11)the Song Shan Laboratory Foundation(No.YYJC022022003)。
文摘In this article,the secure computation efficiency(SCE)problem is studied in a massive multipleinput multiple-output(mMIMO)-assisted mobile edge computing(MEC)network.We first derive the secure transmission rate based on the mMIMO under imperfect channel state information.Based on this,the SCE maximization problem is formulated by jointly optimizing the local computation frequency,the offloading time,the downloading time,the users and the base station transmit power.Due to its difficulty to directly solve the formulated problem,we first transform the fractional objective function into the subtractive form one via the dinkelbach method.Next,the original problem is transformed into a convex one by applying the successive convex approximation technique,and an iteration algorithm is proposed to obtain the solutions.Finally,the stimulations are conducted to show that the performance of the proposed schemes is superior to that of the other schemes.
