Jun 2026· IEEE Conference on Network Softwarization· pp. 435-441· 0 citations· 20 references
Computer Science
Abstract
Configuring 5G networks through standardized exposure interfaces—the Network Exposure Function (NEF) and the Common API Framework (CAPIF)—remains operationally burdensome, requiring manual navigation of 3 GPP parameter schemas, OAuth2 authentication, and live network state. This paper presents a modular, intent-driven architecture that translates natural language operator goals into schema-compliant NEF API configurations using a compact, locally deployed Large Language Model (LLM), Qwen3-4B (4 billion parameters). A deterministic pre-classification layer reserves LLM inference for semantically complex requests, while a six-stage pipeline produces near-deterministic, conflict-aware JSON output. Two complementary validation paths are provided: a Standard Mode with closed-loop Quality of Service (QoS) feedback via a NEF emulator, and a Free5GC Mode that validates the same translation logic against a Free5GC-based experimental environment with real user-plane traffic. Demonstration across five vertical scenarios confirms end-to-end correctness in both the emulated NEF environment and the Free5GC-based experimental environment.
The 6G era introduces unprecedented complexity in managing heterogeneous, large-scale, and dynamic network infrastructures. These challenges are addressed by the concept of Intent-Based Networking (IBN), which has emerged as a promising paradigm for autonomous network management, enabling users to express high-level ob...
Large language model (LLM) applications deployed in regulated and high-risk environments face two coupled runtime risks: input-side prompt injection and output-side content compliance violations. Existing defenses are often either model-centric (alignment or fine-tuning) or application-local (keywords and regex), which...
Integrated sensing and communications (ISAC) is moving from proof-of-concept demonstrations to system-level deployment in sixth-generation (6G) networks. Because sensing and communication share hardware, spectrum, and waveform resources, ISAC design now involves many tightly coupled choices, including waveform selectio...
Lijie Zheng, Xudong Zhong, Baoquan Ren et al.· 0 citations
As Software-Defined Networking (SDN) and Network Function Virtualization (NFV) enabled networks scale in size and complexity, monitoring and managing Service Function Chains (SFCs) under stringent latency and resource constraints becomes increasingly challenging. Although Deep Reinforcement Learning (DRL) is widely app...
Parisa Fard Moshiri, Xinyu Zhu, Poonam Lohan et al.· IEEE Transactions on Network...· 0 citations
Network slicing exposes powerful configuration levers for latency, reliability, and capacity in 5 G and emerging 6G systems, but the resulting design space is difficult to navigate for non-experts. Even when a slice configuration is deployed, operators still need to monitor traffic behavior, detect drift from design in...
Anshul Anilkumar Mundakatil, Anjan Phani Raj Narla, Akshil Anilkumar Mundakatil et al.· International Conference on...· 0 citations
IntentP4 is presented, a formal-methods-aided pipeline that translates an operator's natural-language intent into a P4LTL specification and then into a replayable multi-packet test case, grounded throughout in compiler artifacts via a tool-queryable ProgramContext and gated by deterministic per-stage validators.
Ruonan Feng, Mingming Zhang, Yu Jiang et al.· Conference on Applications,...· 0 citations
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