The intricate interplay of source dynamics, unreliable channels, and staleness of information has long been recognized as a significant impediment for the receiver to achieve accurate, timely, and most importantly, goal-oriented decision making. Thus, a plethora of promising metrics, such as Age of Information, Value of Information, and Mean Square Error, have emerged to quantify these underlying adverse factors. Following this avenue, optimizing these metrics has indirectly improved the utility of goal-oriented decision making. Nevertheless, no metric has hitherto been expressly devised to evaluate the utility of a goal-oriented decision-making process. To this end, this paper investigates a novel performance metric, the Goal-oriented Tensor (GoT), to directly quantify the impact of semantic mismatches on the goal-oriented decision making. Based on the GoT, we consider a sampler-decision maker pair that work collaboratively and distributively to achieve a shared goal of communications. We formulate an infinite-horizon Decentralized Partially Observable Markov Decision Process (Dec-POMDP) to conjointly deduce the optimal deterministic sampling policy and decision-making policy. The simulation results reveal that the sampler-decision maker co-design surpasses the current literature on AoI and its variants in terms of both goal achievement utility and sparse sampling rate, signifying a notable accomplishment for a sparse sampler and goal-oriented decision maker co-design.
An AoI-oriented Time-Frequency Distributed Access Mechanism in Wireless Sensor Networks with Spectrum Division
The Chinese University of Hong Kong (Shenzhen)（香港中文大学（深圳））；Shenzhen University（深圳大学）；The Chinese University of Hong Kong（香港中文大学）；National Pingtung University（国立屏东大学）；Nokia Bell Laboratories（诺基亚贝尔实验室）
Visual Event Detection over AI-Edge LEO Satellites with AoI Awareness
School of Physics, Engineering and Computer Science, University of Hertfordshire（哈特福德大学物理、工程与计算机科学学院）；COPELABS, Lusófona University（卢索丰大学COPELABS）；UNINOVA-CTS and LASI（UNINOVA-CTS和LASI）；Instituto Superior Técnico, Universidade de Lisboa（里斯本大学高等理工学院）；Department of Computer Engineering, Chosun University（朝鲜大学计算机工程系）
Towards World Model-Empowered Integrated Sensing, Communication, and Decision for Complex Unmanned Systems
School of Integrated Circuits (School of Information Science and Electronic Engineering), Shanghai Jiao Tong University（上海交通大学集成电路学院（信息与电子工程学院））；Pervasive Communication Research Center, Purple Mountain Laboratories（紫金山实验室泛在通信研究中心）；Shanghai Institute of Technical Physics, Chinese Academy of Sciences（中国科学院上海技术物理研究所）；National Mobile Communications Research Laboratory, Southeast University（东南大学移动通信国家重点实验室）；Purple Mountain Laboratories（紫金山实验室）
Generative AI-Empowered Semantic Twin Channel Model for ISAC
School of Information and Communications Engineering, Dalian University of Technology（大连理工大学信息与通信工程学院）；Terahertz Wireless Communications Laboratory, Shanghai Jiao Tong University（上海交通大学太赫兹无线通信实验室）
From Freshness to Effectiveness: Goal-Oriented Sampling for Remote Decision Making
Harbin Institute of Technology (Shenzhen)（哈尔滨工业大学（深圳））；Guangdong Provincial Key Laboratory of Aerospace Communication and Networking Technology（广东省航空航天通信与网络技术重点实验室）；Institute for Infocomm Research, Agency for Science, Technology and Research（新加坡科技研究局信息通信研究所）；Peng Cheng Laboratory（鹏城实验室）
Age of Actuation in a Wireless Power Transfer System
在本文中，我们研究了一个模型相关的语义感知面向目标的通信。更具体地说，来自外部过程的观测通过状态更新传输到电池供电的接收器。从这些更新中，接收器被告知过程的状态，并且如果有足够的能量，则使用它们来执行致动以实现目标。我们考虑一种无线功率传输模型，其中目的地从专用功率发射器接收能量，并且偶尔从数据发射器接收能量。我们提供了信息时代（AoI）分析。此外，我们提出了一个新的度量，即\textit{Age of Actuation (AoA) which is relevant when the receiver utilizes the status updates to perform actions in a timely manner}。我们分析特征的AoA，我们表明，这是一个更普遍的度量比AoI。我们提供了这两个指标的优化问题，我们数值评估我们的分析结果。
