Product Information

Description

An annual survey of the cs.NI arXiv category, covering research published from September 2025 – August 2026. Built on a close-reading set of 132 papers and organised into 37 chapters, it maps the year by the field's research sub-directions.

Book framework (share of the year's output):

Wireless Resource Management and Edge Computing (53.4%) — Optimizing dynamic resource allocation, interference management, and edge infrastructure for heterogeneous wireless networks and IoT devices.
Physical Layer Sensing and Signal Processing (11.2%) — Enhancing channel estimation, localization, and physical-layer modeling through digital twins and advanced signal processing techniques.
Aerial and Satellite Network Connectivity (9.5%) — Addressing coverage, scheduling, and connectivity challenges in large-scale UAV, LEO satellite, and vehicular networks.
Traffic Engineering and QoS Control (8.8%) — Designing algorithms for latency-sensitive traffic scheduling, congestion control, and quality-of-service assurance in real-time networks.
LLM-Driven Autonomous Network Operations (3.7%) — Integrating large language models and agentic AI for autonomous network lifecycle management, reasoning, and cross-layer optimization.
Network Security and Anomaly Detection (3.6%) — Developing intelligent frameworks for detecting intrusions, anomalies, and threats in SDN, IoT, and telecom networks.
Open RAN Architecture and Operations (3.4%) — Exploring flexible radio access network architectures, xApp management, and security in Open RAN environments.
Network Protocol Design and Routing (3.1%) — Improving routing protocols, topology management, and protocol security through novel algorithmic designs and simulation.
Quantum Communication and Networking (2.3%) — Investigating entanglement routing, quantum key distribution, and hybrid classical-quantum communication systems.
Bandwidth-Constrained Network Optimization (0.6%) — Overcoming bandwidth bottlenecks and data limitations in specialized scenarios like underwater, cloud gaming, and AI data centers.
Energy Efficiency and Power Management (0.4%) — Analyzing and optimizing energy consumption mechanisms in network infrastructure and computing systems.

Each sub-direction is covered across three chapters — how it framed its questions, the strength of its key findings, and its open debates and frontiers — so the reader gets a traceable picture of what this part of the field actually produced over the year.