Oct 2026· Zenodo (CERN European Organization for Nuclear Research)
Wireless Networks and Protocols
Abstract
Wireless Local Area Networks (WLANs) have grown from a convenience feature to become the main medium of access for enterprise, residential and industrial computing. This article will delve into the basics of the technology, its working principles, standards, and its significance in the current digital landscape. The talk will discuss the evolution of radio-based local networking from wired dependence, the development of the IEEE 802.11 family of standards and the creation of the Wi-Fi ecosystem, and the recent arrival of new frequency bands at 6 GHz, which will increase capacity in dense environments. Focus is placed on the layers of architecture used to support large deployments, including access points, wireless controllers and segmentation techniques like VLANs. The paper also covers the security stance necessary to secure wireless traffic, such as the latest in encryption standards and policy-based access control, as well as the operational challenges that remain and impact performance and reliability. The analysis of 2026 trends is dedicated to the fast adoption of Wi-Fi 7, the new Wi-Fi 8 ultra-reliability standard and the use of artificial intelligence to manage wireless platforms. The article ends with a discussion on the future prospects of WLANs in supporting developments in robotics, extended reality and autonomous operations and provides some practical considerations for organisations looking towards a long-term wireless strategy.
This paper investigates developing real-world perception for active agents, proposes Gibson Environment for this purpose, and showcases a set of perceptual tasks learned therein.
F. Xia, Amir Zamir, Zhi-Yang He et al.· 2018 IEEE/CVF Conference on...· 1,069 citations· ⚡112
GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations...
Xiaotian Zhang, Chun-yan Li, Yi Zong et al.· arXiv.org· 216 citations· ⚡17
An algorithm is proposed which leverages disentangled semantic factors to generate adversarial perturbation by altering controlled semantic attributes to fool the learner towards various "adversarial" targets.
Haonan Qiu, Chaowei Xiao, Lei Yang et al.· arXiv.org· 208 citations· ⚡17
This work proposes a HALO that directly maximizes the utility of generations instead of maximizing the log-likelihood of preferences, and suggests that the best loss depends on the inductive biases most appropriate for a given setting, an oft-overlooked consideration.
This work investigates the possibilities of using LLMs in a resume screening setting via a document retrieval framework that simulates job candidate selection and finds that the MTEs are biased, significantly favoring White-associated names in 85% of cases and female-associated names in only 11.1% of cases.
This work shows that orders of magnitude enhancement in performance could be obtained by a combination of hardware improvements and tight quantum-HPC integration and introduces high-performance architectures for quantum-probabilistic computing with custom-designed accelerators to tackle today's industry-scale classical...
Masoud Mohseni, Artur Scherer, K. Johnson et al.· arXiv.org· 121 citations· ⚡9