
2025-10-16 23:42:08
CFP: American Academy of Religion, Western Region 2026 Conference: Religion, Technology, and Innovation https://networks.h-net.org/group/announcements/20128336/cfp-american-academy-religion-western-region-2026-conference…
CFP: American Academy of Religion, Western Region 2026 Conference: Religion, Technology, and Innovation https://networks.h-net.org/group/announcements/20128336/cfp-american-academy-religion-western-region-2026-conference…
Digital Twin-Assisted Resilient Planning for mmWave IAB Networks via Graph Attention Networks
Jie Zhang, Mostafa Rahmani Ghourtani, Swarna Bindu Chetty, Paul Daniel Mitchell, Hamed Ahmadi
https://arxiv.org/abs/2509.12499
Power in Sharing Networks with a priori Unions
Michele Aleandri, Francesco Ciardiello, Andrea Di Liddo
https://arxiv.org/abs/2507.13272 https://
reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps
Distributed Deep Learning with RIS Grouping for Accurate Cascaded Channel Estimation
Saifur Rahman, Syed Luqman Shah, Salman Khan, Jalal Khan, Muhammad Irfan, Maaz Shafi, Said Muhammad, Fazal Muhammad, Mohammad Shahed Akond
https://arxiv.org/abs/2509.14062
Integrating Terrestrial and Non-Terrestrial Networks for Sustainable 6G Operations: A Latency-Aware Multi-Tier Cell-Switching Approach
Metin Ozturk, Maryam Salamatmoghadasi, Halim Yanikomeroglu
https://arxiv.org/abs/2508.10849
The announcement this week that Elon Musk’s SpaceX is purchasing
$17 billion in wireless spectrum
has sent jitters through an industry now eyeing the prospect of
Elon-style disruptions to a market
long dominated by Verizon, AT&T and T-Mobile.
The new bandwidth is destined for use by SpaceX’s satellite service, Starlink.
CAR-BRAINet: Sub-6GHz Aided Spatial Adaptive Beam Prediction with Multi Head Attention for Heterogeneous Vehicular Networks
Aathira G Menon (Department of Electronics and Communication Engineering, National Institute of Technology Karnataka), Prabu Krishnan (Department of Electronics and Communication Engineering, National Institute of Technology Karnataka), Shyam Lal (Department of Electronics and Communication Engineering, National Institute of Technology Karnataka)
On a Geometry of Interbrain Networks
Nicol\'as Hinrichs (Embodied Cognitive Science Unit, Okinawa Institute of Science and Technology, Okinawa, Japan, Research Group Cognition and Plasticity, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany), Noah Guzm\'an (Independent scholar), Melanie Weber (School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United States)
Analytical Modelling of the Transport in Analog Filamentary Conductive-Metal-Oxide/HfOx ReRAM Devices
Donato Francesco Falcone, Stephan Menzel, Tommaso Stecconi, Matteo Galetta, Antonio La Porta, Bert Jan Offrein, Valeria Bragaglia
https://arxiv.org/abs/2509.13964
SCOR: A Framework for Responsible AI Innovation in Digital Ecosystems
Mohammad Saleh Torkestani, Taha Mansouri
https://arxiv.org/abs/2509.10653 https://arx…
Unmodulated Visible Light Positioning: A Deep Dive into Techniques, Studies, and Future Prospects
Morteza Alijani, Wout Joseph, David Plets
https://arxiv.org/abs/2507.13080
slashdot_zoo: Slashdot Zoo friend-foe network (2009)
A network of interactions among users on Slashdot (slashdot.org), a technology news website. Users name each other as friends or foe. The friend label increases the scores of post, and the foe label decreases the score.
This network has 79120 nodes and 515397 edges.
Tags: Social, Online, Signed
An Overlapping Coalition Game Approach for Collaborative Block Mining and Edge Task Offloading in MEC-assisted Blockchain Networks
Licheng Ye, Zehui Xiong, Lin Gao, Dusit Niyato
https://arxiv.org/abs/2508.06031
Visible Light Communication for Vehicular Networks: A Tutorial
Pedro E. G\'oria Silva, Eduardo S. Lima, Jules M. Moualeu, Mohamed Korium, Pedro H. J. Nardelli
https://arxiv.org/abs/2510.11123
Analysis of Publicly Accessible Operational Technology and Associated Risks
Matthew Rodda, Vasilios Mavroudis
https://arxiv.org/abs/2508.02375 https://arxi…
Hybrid Galam--Bass Model for Technology Innovation
Giulia Rotundo, Roy Cerqueti, Gurjeet Dhesi, Claudiu Herteliu, Parmjit Kaur, Marcel Ausloos
https://arxiv.org/abs/2509.07275 h…
slashdot_zoo: Slashdot Zoo friend-foe network (2009)
A network of interactions among users on Slashdot (slashdot.org), a technology news website. Users name each other as friends or foe. The friend label increases the scores of post, and the foe label decreases the score.
This network has 79120 nodes and 515397 edges.
Tags: Social, Online, Signed
In-Loop Filtering Using Learned Look-Up Tables for Video Coding
Zhuoyuan Li, Jiacheng Li, Yao Li, Jialin Li, Li Li, Dong Liu, Feng Wu
https://arxiv.org/abs/2509.09494 https://…
Overall the media consolidation described below is beyond four alarm fire levels.
E. Musk is dangerous to society, but Musk acts like an addled kid who read too much bad Sci-fi. Ellison doesn't have those positive qualities - he is much like the killer car, Christine, in the Steven King novel.
My first experience with Ellison's Oracle was back around 1980 or '81 when Oracle people came to our company and more than asked, they ordered us, to make sure that their produ…
Holographic Beamforming for Integrated Sensing and Communication with Mutual Coupling Effects
Shuhao Zeng, Haobo Zhang, Boya Di, Hongliang Zhang, Zijian Shao, Zhu Han, H. Vincent Poor, Lingyang Song
https://arxiv.org/abs/2509.08113
Blockchain Epidemic Consensus for Large-Scale Networks
Siamak Abdi, Giuseppe Di Fatta, Atta Badii, Giancarlo Fortino
https://arxiv.org/abs/2508.02552 https://
Challenges in designing ethical rules for Infrastructures in Internet of Vehicles
Razi Iqbal
https://arxiv.org/abs/2510.09374 https://arxiv.org/pdf/2510.09…
Pair-Bid Auction Model for Optimized Network Slicing in 5G RAN
Mengyao Li, Sebastian Troia, Yingqian Zhang, Guido Maier
https://arxiv.org/abs/2509.10533 https://
InterQnet: A Heterogeneous Full-Stack Approach to Co-designing Scalable Quantum Networks
Joaquin Chung, Daniel Dilley, Ely Eastman, Alvin Gonzales, Kara Hokenstad, Md Shariful Islam, Varun Jorapur, Joseph Petrullo, Andy C. Y. Li, Bikun Li, Vasileios Niaouris, Anirudh Ramesh, Ansh Singal, Caitao Zhan, Michael Bishof, Eric Chitambar, Jacob P. Covey, Alan Dibos, Xu Han, Liang Jiang, Prem Kumar, Jeffrey Larson, Zain H. Saleem, Rajkumar Kettimuthu
Probabilistic Constellation Shaping for OFDM ISAC Signals Under Temporal-Frequency Filtering
Zhen Du, Jingjing Xu, Yifeng Xiong, Jie Wang, Musa Furkan Keskin, Henk Wymeersch, Fan Liu, Shi Jin
https://arxiv.org/abs/2510.12204
Population-Scale Network Embeddings Expose Educational Divides in Network Structure Related to Right-Wing Populist Voting
Malte L\"uken (Netherlands eScience Center, University of Amsterdam, Erasmus University Rotterdam), Javier Garcia-Bernardo (Utrecht University), Sreeparna Deb (Delft University of Technology), Flavio Hafner (Netherlands eScience Center, Erasmus University Rotterdam), Megha Khosla (Delft University of Technology)
Development of a Neural Network Model for Currency Detection to aid visually impaired people in Nigeria
Sochukwuma Nwokoye, Desmond Moru
https://arxiv.org/abs/2508.18012 https:/…
Age verification on VPNs? The UK have jumped the shark.
This is the domino effect at play.
#noxp
https://flipboard.com/@bbcnews/technology-…
Traffic Load-Aware Resource Management Strategy for Underwater Wireless Sensor Networks
Tong Zhang, Yu Gou, Jun Liu, Jun-Hong Cui
https://arxiv.org/abs/2508.08555 https://
The excellent @… (https://erinkissane.com) has written a lot about the idea of “governance” in tech: the human networks and processes that surround the things that we build. Erin has proposed — and I agree, though I long failed to see it! — that governance is the gaping hole in the way we build OSS, shared infra, and the whole technology commons.
3/
Navigating the Dual-Use Nature and Security Implications of Reconfigurable Intelligent Surfaces in Next-Generation Wireless Systems
Hetong Wang, Tiejun Lv, Yashuai Cao, Weicai Li, Jie Zeng, Pingmu Huang, Muhammad Khurram Khan
https://arxiv.org/abs/2510.11113
A Network Digital Twin of a 5G Private Network: Designing a Proof-of-Concept from Theory to Practice
Cristina Emilia Costa, Tatenda Horiro Zhou, Fabrizio Granelli
https://arxiv.org/abs/2510.12458
Palo Alto Networks founder Nir Zuk retires and steps down as CTO and board member; Chief Product Officer Lee Klarich becomes CTO and joins the board (Dean Seal/Wall Street Journal)
https://www.wsj.com/tech/palo-alto-networks-founder-retires-as-technol…
I have a lot of devices (~15) on my home wifi network. Around me are also 10-15 neighboring wifi networks as well as nearly 30 bluetooth devices of various origins.
I find it incredibly funny that using wireless bluetooth headphones throws me back to the vinyl record days where you hear constant popping, cracking and skipping.
All this fancy technology just to come full circle. 😄
Luckily, my particular pair came with an optional wire. 🎧
Revealing Chaotic Dependence and Degree-Structure Mechanisms in Optimal Pinning Control of Complex Networks
Qingyang Liu (University of Science and Technology of China), Tianlong Fan (University of Science and Technology of China), Liming Pan (University of Science and Technology of China), Linyuan Lv (University of Science and Technology of China)
https://
slashdot_zoo: Slashdot Zoo friend-foe network (2009)
A network of interactions among users on Slashdot (slashdot.org), a technology news website. Users name each other as friends or foe. The friend label increases the scores of post, and the foe label decreases the score.
This network has 79120 nodes and 515397 edges.
Tags: Social, Online, Signed
PBPU Elastomer Network Architecture Determination via Corresponding States Analysis of Mechanical Behavior
Sushanta Das (Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India Defence Research,Development Organization, New Delhi, India), Hari Ramakrishna Sudhakar (Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India), Hemant Nanavati (Department of Chemical Engineering, Indian Institute of T…
Numerically exact quantum dynamics with tensor networks: Predicting the decoherence of interacting spin systems
Tianchu Li, Pranay Venkatesh, Nanako Shitara, Andr\'es Montoya-Castillo
https://arxiv.org/abs/2509.20604
slashdot_zoo: Slashdot Zoo friend-foe network (2009)
A network of interactions among users on Slashdot (slashdot.org), a technology news website. Users name each other as friends or foe. The friend label increases the scores of post, and the foe label decreases the score.
This network has 79120 nodes and 515397 edges.
Tags: Social, Online, Signed
Location Privacy-Enabled Beamforming in ISAC Scenarios
Umair Ali Khan, Lester Ho, Holger Claussen, Chinmoy Kundu
https://arxiv.org/abs/2508.09882 https://a…
Parallel PLL on DAGs
Patrick Steil
https://arxiv.org/abs/2507.21204 https://arxiv.org/pdf/2507.21204
Uncovering multi-technology convergence patterns with hypergraphs: Evolution and prediction using patent data
Yiwei Huang, Shuqi Xu, Shimin Cai, Linyuan L\"u
https://arxiv.org/abs/2509.15521
Efficient Byzantine Consensus MechanismBased on Reputation in IoT Blockchain
Xu Yuan, Fang Luo, Muhammad Zeeshan Haider, Zhikui Chen, Yucheng Li
https://arxiv.org/abs/2508.01856
Thermal Implications of Non-Uniform Power in BSPDN-Enabled 2.5D/3D Chiplet-based Systems-in-Package using Nanosheet Technology
Yukai Chen, Massimiliano Di Todaro, Bjorn Vermeersch, Herman Oprins, Daniele Jahier Pagliari, Julien Ryckaert, Dwaipayan Biswas, James Myers
https://arxiv.org/abs/2508.02284
reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps
6G Resilience -- White Paper
Hirley Alves, Nurul H. Mahmood, Onel L. A. L\'opez, Sumudu Samarakoon, Seppo Yrj\"ol\"a, Matti Latva-Aho, Markku Juntti, Ari Pouttu, Armin Dekorsy, Arthur Sousa de Sena, Aydin Sezgin, Bho Matthiesen, Chafika Benzaid, Chathuranga Weeraddana, David Hutchison, Dileepa Marasinghe, Doganalp Ergenc, Eduard Jorswieck, Erkki Harjula, Falko Dressler, Harri Saarnisaari, Italo Atzeni, Jaap Van De Beek, Jacek Rak, Konstantin Mikhaylov, Lauri Loven, Madhus…
NSPDI-SNN: An efficient lightweight SNN based on nonlinear synaptic pruning and dendritic integration
Wuque Cai, Hongze Sun, Jiayi He, Qianqian Liao, Yunliang Zang, Duo Chen, Dezhong Yao, Daqing Guo
https://arxiv.org/abs/2508.21566
Distinct weak asymmetric interactions shape human brain functions as probability fluxes
Yoshiaki Horiike, Shin Fujishiro
https://arxiv.org/abs/2508.20961 https://
Beamforming-based Achievable Rate Maximization in ISAC System for Multi-UAV Networking
Shengcai Zhou, Luping Xiang, Kun Yang, Kai Kit Wong, Dapeng Oliver Wu, Chan-Byoung Chae
https://arxiv.org/abs/2507.21895
slashdot_zoo: Slashdot Zoo friend-foe network (2009)
A network of interactions among users on Slashdot (slashdot.org), a technology news website. Users name each other as friends or foe. The friend label increases the scores of post, and the foe label decreases the score.
This network has 79120 nodes and 515397 edges.
Tags: Social, Online, Signed
Memristor-Based Neural Network Accelerators for Space Applications: Enhancing Performance with Temporal Averaging and SIRENs
Zacharia A. Rudge, Dominik Dold, Moritz Fieback, Dario Izzo, Said Hamdioui
https://arxiv.org/abs/2509.04506
Unsupervised and probabilistic learning with Contrastive Local Learning Networks: The Restricted Kirchhoff Machine
Marcelo Guzman, Simone Ciarella, Andrea J. Liu
https://arxiv.org/abs/2509.15842
UAV-Enabled Fluid Antenna Systems for Multi-Target Wireless Sensing over LAWCNs
Xuhui Zhang, Wenchao Liu, Chunjie Wang, Jinke Ren, Huijun Xing, Shuqiang Wang, Yanyan Shen
https://arxiv.org/abs/2509.22497
Cooperative Multi-Static ISAC Networks: A Unified Design Framework for Active and Passive Sensing
Yan Yang, Zhendong Li, Jianwei Zhao, Qingqing Wu, Zhiqing Wei, Wen Chen, Weimin Jia
https://arxiv.org/abs/2510.06654
Quantum Computing for Large-scale Network Optimization: Opportunities and Challenges
Sebastian Macaluso, Giovanni Geraci, El\'ias F. Combarro, Sergi Abadal, Ioannis Arapakis, Sofia Vallecorsa, Eduard Alarc\'on
https://arxiv.org/abs/2509.07773
Quantum router of silicon-vacancy centers via a diamond waveguide
Wen-Jie Zhang, Xi Yan, Jun-Hong An
https://arxiv.org/abs/2509.14793 https://arxiv.org/pdf…
A Bilevel Optimization Framework for Adversarial Control of Gas Pipeline Operations
Tejaswini Sanjay Katale, Lu Gao, Yunpeng Zhang, Alaa Senouci
https://arxiv.org/abs/2510.02503
slashdot_zoo: Slashdot Zoo friend-foe network (2009)
A network of interactions among users on Slashdot (slashdot.org), a technology news website. Users name each other as friends or foe. The friend label increases the scores of post, and the foe label decreases the score.
This network has 79120 nodes and 515397 edges.
Tags: Social, Online, Signed
Design-Space Exploration of Distributed Neural Networks in Low-Power Wearable Nodes
Meghna Roy Chowdhury, Ming-che Li, Archisman Ghosh, Md Faizul Bari, Shreyas Sen
https://arxiv.org/abs/2509.14540
FAST-LoRa: An Efficient Simulation Framework for Evaluating LoRaWAN Networks and Transmission Parameter Strategies
Laura Acosta Garc\'ia, Juan Aznar Poveda, Fabian Margreiter, Antonio-Javier Garc\'ia S\'anchez, Joan Garc\'ia Haro, Thomas Fahringer, Jos\'e Lorente L\'opez, Jos\'e-V\'ictor Rodr\'iguez
https://
Flexible Intelligent Metasurface for Reconfiguring Radio Environments
Hanwen Hu, Jiancheng An, Lu Gan, Naofal Al-Dhahir
https://arxiv.org/abs/2510.07466 https://
Investigating Sharding Advancements, Methodologies, and Adoption Potential in Hedera
Ziwei Wang, Cong Wu, Paolo Tasca
https://arxiv.org/abs/2509.19478 https://
A smart city model for an intelligent traffic light decision system
Darko Pajkovski, Marija Apostoloska Kondoska, Hristina Dimova Popovska
https://arxiv.org/abs/2509.25254 https…
reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps
Markov Chain-based Model of Blockchain Radio Access Networks
Vasileios Kouvakis, Stylianos E. Trevlakis, Alexandros-Apostolos A. Boulogeorgos, Hongwu Liu, Theodoros A. Tsiftsis, Octavia A. Dobre
https://arxiv.org/abs/2508.14519
Active RISs: Modeling and Optimization
Recep Akif Tasci, Panagiotis Gavriilidis, Ertugrul Basar, George C. Alexandropoulos
https://arxiv.org/abs/2507.16499 https://
reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps
slashdot_zoo: Slashdot Zoo friend-foe network (2009)
A network of interactions among users on Slashdot (slashdot.org), a technology news website. Users name each other as friends or foe. The friend label increases the scores of post, and the foe label decreases the score.
This network has 79120 nodes and 515397 edges.
Tags: Social, Online, Signed
Secure Short-Packet Communications for RIS-Assisted AAV Networks
Huiling Liu, Junshan Luo, Shilian Wang, Fanggang Wang, Theodoros A. Tsiftsis, Symeon Chatzinotas
https://arxiv.org/abs/2509.14705
Generative Diffusion Models for Wireless Networks: Fundamental, Architecture, and State-of-the-Art
Dayu Fan, Rui Meng, Xiaodong Xu, Yiming Liu, Guoshun Nan, Chenyuan Feng, Shujun Han, Song Gao, Bingxuan Xu, Dusit Niyato, Tony Q. S. Quek, Ping Zhang
https://arxiv.org/abs/2507.16733
reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps
Boosting Payment Channel Network Liquidity with Topology Optimization and Transaction Selection
Krishnendu Chatterjee, Jan Maty\'a\v{s} K\v{r}i\v{s}\v{t}an, Stefan Schmid, Jakub Svoboda, Michelle Yeo
https://arxiv.org/abs/2508.14524
Flexible and High-Performance Radio Access Networks for upcoming Sixth-Generation (6G) Systems
Peter Schefczik, Umar Toseef, Paolo Baracca, Ralf Klotsche, Torsten Dudda, Mai-Anh Phan, Lorenzo Miretti, David Ginthoer, Bin Han
https://arxiv.org/abs/2509.24417
slashdot_zoo: Slashdot Zoo friend-foe network (2009)
A network of interactions among users on Slashdot (slashdot.org), a technology news website. Users name each other as friends or foe. The friend label increases the scores of post, and the foe label decreases the score.
This network has 79120 nodes and 515397 edges.
Tags: Social, Online, Signed
Latency Minimization Oriented Radio and Computation Resource Allocations for 6G V2X Networks with ISCC
Peng Liu, Xinyi Wang, Zesong Fei, Yuan Wu, Jie Xu, Arumugam Nallanathan
https://arxiv.org/abs/2507.16375
reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps
Fractal Social Dynamics as a Driver of Consensus and Inequality
Airton Deppman
https://arxiv.org/abs/2507.13849 https://arxiv.org/pdf…
FAS Enabled UAV for Energy-Efficient WPCNs
Nagla Abuzgaia, Abdelhamid Salem, Ahmed Elbarsha
https://arxiv.org/abs/2508.01771 https://arxiv.org/pdf/2508.017…
Multi-layer Digital Twin System for Future Mobile Metaverse
Gaosheng Zhao, Dong In Kim
https://arxiv.org/abs/2509.03049 https://arxiv.org/pdf/2509.03049
reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps
RSU-Assisted Resource Allocation for Collaborative Perception
Guowei Liu, Le Liang, Chongtao Guo, Hao Ye, Shi Jin
https://arxiv.org/abs/2509.17691 https://…
reality_mining: Reality mining proximity network (2004)
A network of human proximities among students at Massachusetts Institute of Technology (MIT), as measured by personal mobile phones. Nodes represent people (students from the Media Lab and the Sloan Business School) and an edge connects a pair if the two devices made a Bluetooth handshake at the time. Edges are timestamped.
This network has 96 nodes and 1086404 edges.
Tags: Social, Offline, Unweighted, Timestamps
Transmitter-Side Beyond-Diagonal RIS-Enabled Integrated Sensing and Communications
Kexin Chen, Yijie Mao, Wonjae Shin
https://arxiv.org/abs/2509.26333 https://
Flexible-Sector 6DMA Base Station: Modeling and Design
Yunli Li, Xiaoming Shi, Xiaodan Shao, Jie Xu, Rui Zhang
https://arxiv.org/abs/2509.26086 https://arx…
N78 Frequency Band Modular RIS Design and Implementation
Sefa Kayrakl{\i}k, Recep Ba\c{s}, Hasan O\u{g}uzhan \c{C}al{\i}\c{s}kan, Samed \c{S}ahino\u{g}lu, Sercan Erdo\u{g}an, \.Ilhami \"Unal, \.Ibrahim H\"okelek, K{\i}van\c{c} Nurdan, Ali G\"or\c{c}in
https://arxiv.org/abs/2509.24355…
Efficient handover based on Near-field and Far-field RIS for seamless connectivity
Atiquzzaman Mondal, Waheeb Tashan, Ayat Al-Olaimat, H\"useyin Arslan
https://arxiv.org/abs/2507.22141
Dependability Theory-based Statistical QoS Provisioning of Fluid Antenna Systems
Irfan Muhammad, Priyadarshi Mukherjee, Wee Kiat New, Hirley Alves, Ioannis Krikidis, Kai-Kit Wong
https://arxiv.org/abs/2507.19984
Toward Dual-Functional LAWN: Control-Aware System Design for Aerodynamics-Aided UAV Formations
Jun Wu, Weijie Yuan, Qingqing Cheng, Haijia Jin
https://arxiv.org/abs/2507.19910 h…
Toward Multi-Functional LAWNs with ISAC: Opportunities, Challenges, and the Road Ahead
Jun Wu, Weijie Yuan, Xiaoqi Zhang, Yaohuan Yu, Yuanhao Cui, Fan Liu, Geng Sun, Jiacheng Wang, Dusit Niyato, Dong In Kim
https://arxiv.org/abs/2508.17354
Performance Analysis of RIS-Aided High-Mobility Wireless Systems
Hanwen Hu, Jiancheng An, Lu Gan, Chau Yuen
https://arxiv.org/abs/2508.15375 https://arxiv.…
A Refined Alternating Optimization for Sum Rate Maximization in SIM-Aided Multiuser MISO Systems
Eduard E. Bahingayi, Shuying Lin, Murat Uysal, Marco Di Renzo, Le-Nam Tran
https://arxiv.org/abs/2508.15257
Full-Duplex Beamforming Optimization for Near-Field ISAC
Ahsan Nazar, Zhambyl Shaikhanov, Sennur Ulukus
https://arxiv.org/abs/2508.14753 https://arxiv.org/…
Comparative Performance Analysis of Different Hybrid NOMA Schemes
Ning Wang, Chenyu Zhang, Yanshi Sun, Minghui Min, Shiyin Li
https://arxiv.org/abs/2509.14809 https://
Robust Optimization for Movable Antenna-aided Cell-Free ISAC with Time Synchronization Errors
Yue Xiu, Yang Zhao, Ran Yang, Wanting Lyu, Dusit Niyato, Dong In Kim, Guangyi Liu, Ning Wei
https://arxiv.org/abs/2508.13818