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相关论文: Second 6G life Workshop on Post Shannon Theory

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This paper explores opportunities and challenges of task (goal)-oriented and semantic communications for next-generation (NextG) communication networks through the integration of multi-task learning. This approach employs deep neural…

网络与互联网体系结构 · 计算机科学 2024-01-04 Yalin E. Sagduyu , Tugba Erpek , Aylin Yener , Sennur Ulukus

This study aims to optimise the "spray and wait" protocol in delay tolerant networks (DTNs) to improve the performance of information transmission in emergency situations, especially in car accident scenarios. Due to the intermittent…

网络与互联网体系结构 · 计算机科学 2024-11-12 Chengkun Ye , Milena Radenkovic

The rapid development of advanced computing technologies such as quantum computing imposes new challenges to current wireless security mechanism which is based on cryptographic approaches. To deal with various attacks and realize…

密码学与安全 · 计算机科学 2023-03-14 Li Sun , Xianhui Lu , Peng Liu , Jianjun Wu , Xiaohu You , Xiaofeng Tao

The rapid digitalization of urban infrastructure opens the path to smart cities, where IoT-enabled infrastructure enhances public safety and efficiency. This paper presents a 6G and AI-enabled framework for traffic safety enhancement,…

分布式、并行与集群计算 · 计算机科学 2025-11-21 Kurt Horvath , Dragi Kimovski , Stojan Kitanov , Radu Prodan

We consider repeated communication sessions between a RFID Tag (e.g., Radio Frequency Identification, RFID Tag) and a RFID Verifier. A proactive information theoretic security scheme is proposed. The scheme is based on the assumption that…

密码学与安全 · 计算机科学 2009-03-31 Shlomi Dolev , Marina Kopeetsky , Adi Shamir

While Shannon's mutual information has widespread applications in many disciplines, for practical applications it is often difficult to calculate its value accurately for high-dimensional variables because of the curse of dimensionality.…

信息论 · 计算机科学 2018-04-02 Wentao Huang , Kechen Zhang

Research into several aspects of robot-enabled reconnaissance of random fields is reported. The work has two major components: the underlying theory of information acquisition in the exploration of unknown fields and the results of…

系统与控制 · 计算机科学 2011-07-28 Dimitar Baronov , John Baillieul

In this paper, we study capacity scaling laws of the deterministic dissemination (DD) in random wireless networks under the generalized physical model (GphyM). This is truly not a new topic. Our motivation to readdress this issue is…

信息论 · 计算机科学 2015-04-20 Cheng Wang , Jieren Zhou , Tianci Liu , Lu Shao , Huiya Yan , Xiang-Yang Li , Changjun Jiang

The fifth generation (5G) mobile networks are envisaged to enable a plethora of breakthrough advancements in wireless technologies, providing support of a diverse set of services over a single platform. While the deployment of 5G systems is…

Machine Learning (ML) and Artificial Intelligence(AI) have become alternative approaches in wireless networksbeside conventional approaches such as model based solutionconcepts. Whereas traditional design concepts include the mod-elling of…

信号处理 · 电气工程与系统科学 2019-08-27 Raja Sattiraju , Andreas Weinand , Hans D. Schotten

Electromagnetic (EM) communication is nearing its physical and thermodynamic limits, where further performance gains through spectrum optimization alone have become increasingly unsustainable. Finite bandwidth, propagation loss at higher…

信号处理 · 电气工程与系统科学 2025-10-14 Shumaila Javaid , Nasir Saeed

Most psychophysical experiments discard half the data collected. Specifically, experiments discard reaction time data, and use binary responses (e.g. yes/no) to measure performance. Here, Shannon's information theory is used to define…

神经元与认知 · 定量生物学 2021-12-14 James V Stone

We give trade-offs between classical communication, quantum communication, and entanglement for processing information in the Shannon-theoretic setting. We first prove a unit-resource capacity theorem that applies to the scenario where only…

量子物理 · 物理学 2010-08-23 Min-Hsiu Hsieh , Mark M. Wilde

Deep learning-empowered semantic communication is regarded as a promising candidate for future 6G networks. Although existing semantic communication systems have achieved superior performance compared to traditional methods, the end-to-end…

人工智能 · 计算机科学 2023-11-07 Peng Yi , Yang Cao , Xin Kang , Ying-Chang Liang

Generative semantic hashing is a promising technique for large-scale information retrieval thanks to its fast retrieval speed and small memory footprint. For the tractability of training, existing generative-hashing methods mostly assume a…

机器学习 · 计算机科学 2020-06-17 Lin Zheng , Qinliang Su , Dinghan Shen , Changyou Chen

In this paper, the authors present a Radio Access Network (RAN) concept for future mobile communication systems beyond 5G. The concept is based on knowledge of the environment. The three conceptual applications RAN authentication, beam…

网络与互联网体系结构 · 计算机科学 2023-07-18 Lukas Brechtel , Christof A. O. Rauber , Christoph Fischer

Recent advancements have shown that reinforcement learning (RL) can substantially improve the reasoning abilities of large language models (LLMs). The effectiveness of such RL training, however, depends critically on the exploration space…

计算与语言 · 计算机科学 2026-03-17 Haoyuan Wu , Hai Wang , Jiajia Wu , Jinxiang Ou , Keyao Wang , Weile Chen , Zihao Zheng , Bei Yu

With the emergence of 5G low latency applications, such as haptics and V2X, low complexity and low latency security mechanisms are sought. Promising lightweight mechanisms include physical unclonable functions (PUF) and secret key…

密码学与安全 · 计算机科学 2020-03-27 Miroslav Mitev , Arsenia Chorti , Martin Reed , Leila Musavian

Key predistribution is a well-known technique for ensuring secure communication via encryption among sensors deployed in an ad-hoc manner to form a sensor network. In this paper, we propose a novel 2-Phase technique for key predistribution…

网络与互联网体系结构 · 计算机科学 2007-05-23 Rajgopal Kannan , Lydia Ray , Arjan Durresi , S. Iyengar

Large language models increasingly rely on long chains of thought to improve accuracy, yet such gains come with substantial inference-time costs. We revisit token-efficient post-training and argue that existing sequence-level reward-shaping…

计算与语言 · 计算机科学 2026-02-24 Yinhan He , Yaochen Zhu , Mingjia Shi , Wendy Zheng , Lin Su , Xiaoqing Wang , Qi Guo , Jundong Li