Open research questions in Software-Defined Networks and 5G
87 gap statements mined from Software-Defined Networks and 5G papers in our 4.5M-paper local library, which holds 697 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.
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What the literature leaves open
For future work, we aim to improve trajectory prediction accuracy using advanced deep learning techniques, adopt adaptive machine learning algorithms for controller placement, and address key challenges such as scalability for city-wide deployments and integration with 5G/6G network infrastructures.
MOTA-SVB: A Novel Multi-Objective Trajectory-Aware SDN Controller Placement in Vehicular Networks for Byzantine Fault Tolerance · 2026 · DOIThe first challenge is data fragmentation. Many networks still expose heterogeneous schemas, incompatible telemetry streams, and inconsistent timing granularity. Without a unified data model, AI decisions may be based on incomplete or conflicting information. The second challenge is trust and explainability. Operators are unlikely to fully delegate control of mission-critical services to opaque models.
Energy-efficient routing in large-scale IIoT systems is a challenge due to resource limitations and dynamic network environments. Existing methods have limitations in terms of energy efficiency and scalability.
Distributed SDN for energy-efficient routing in large-scale IIoT using sculptor dream optimization-based deep learning · 2026 · DOIFuture work will focus on extending the evaluation of the proposed framework beyond simulation by incorporating real-world datasets, testbed implementations, and practical deployment scenarios to enhance its credibility and applicability.
Intelligent Deep Learning-aided Malicious Node Detection and Encrypted Routing Optimization in Software-Defined Networking · 2026 · DOIRecovery exercises conducted annually — the standard practice in traditional DR programs — are insufficient to maintain operational confidence in infrastructure and application cloud DR environments where configurations change continuously.
SASE-Based Enterprise Architecture Modernization Through Secure IT/OT Convergence and Edge-Driven Automation in Industrial Environments · 2026 · DOIOngoing and future research endeavors are focused on the fusion of the proposed hybrid NDT identification methodology in motion planning applications, where the explainability, adaptability, data efficiency, and compressed information rate properties could lead to a combined communication-aware motion planning approach.
It highlights the need for a holistic perspective that integrates technical analyses with organizational and practical considerations.
The gap in existing research is the need for a holistic perspective that integrates technical analyses with organizational and practical considerations. The study identifies the need for more secure systems that incorporate cybersecurity measures from the inception of the design.
The study highlights the need for a holistic perspective on the design, implementation, and evaluation of robust solutions for contemporary security and architectural challenges. The paper addresses the lack of integration of cybersecurity measures with architectural design.
When switch memory is scarce, the JCT performance ordering follows EDT, spatial multiplexing, and temporal multiplexing, with temporal multiplexing achieving the lowest JCT due to its more flexible allocation of switch resources.
EPIC: Abstraction and Polymorphism of In-Network Collectives on Ethernet · 2026Static pathfinding algorithms have limitations in large-scale OHT systems. Existing RL approaches suffer from scalability issues.
The lack of understanding of how multi-agent orchestration performs in decentralized network protocol configuration. The need for a protocol-centered account of when agentic orchestration helps and when it adds coordination cost.
Continuous monitoring is therefore essential, yet monitoring resources are limited. This work demonstrates that effective SLA-aware slice monitoring requires both adaptive control-plane mechanisms and suitable data-plane primitives.
The need for deterministic memory management in highly resource-constrained edge hardware. The lack of a state-of-the-art framework for untrusted, massive-scale federated learning and autonomous spatial mapping.
Future research can focus on optimizing the cryptographic overhead to achieve sub-1 ms round-trip times.
Evaluation of Security-Induced Latency on 5G RAN Interfaces and User Plane Communication · 2026 · DOIThe lack of effective mitigation strategies for RRC signaling storms. The inability of existing defenses to discern between high-load network conditions and attacks. The need for a fingerprint-based detection and mitigation approach.
StormShield: Fingerprint-Based Detection and Mitigation of RRC Signaling Storms in O-RAN 5G RANs · 2026 · DOIThe paper identifies a need for a comprehensive guide for SD-WAN solutions. It seeks to provide a detailed overview of SD-WAN technology and its applications.
The findings demonstrate that traditional geometric clustering metrics alone are insufficient for evaluating operationally meaningful QoS regimes.
Learning Hidden QoS Structures in Cellular Networks: A Context-Aware Benchmark of Unsupervised Clustering Methods with a New QoS Cluster Validity Protocol · 2026 · DOIThis research presented EASE-6G, a multi-layered, energy-aware networking platform designed to address the scaling challenges inherent to 6G-IoT deployments. By merging the targeted temporal awareness of the LSTM with decision logic governed through a signaling-sensitive DQN, this work demonstrates that predictive SDN control can significantly reduce energy footprints.
EASE-6G: An Energy-Aware SDN Framework with Proactive Slicing and DL-Based Overhead Mitigation for Scalable IoT Networks · 2026 · DOIFuture research will address the limitations identified in Section 7 by moving from Watts–Strogatz simulation to closed-loop hardware deployment with Zolertia RE-Mote nodes running Contiki-NG. This approach will enable empirical validation of energy models and allow quantification of battery overhead associated with federated synchronization.
FedCARE: Fuzzy-Supervised Federated Inference with Confidence Gating for Resilient IIoT Sensor Networks · 2026 · DOIThe authors note that achieving sub-1 ms round-trip times remains challenging due to cryptographic overhead.
Evaluation of Security-Induced Latency on 5G RAN Interfaces and User Plane Communication · 2026 · DOITo explore the use of other blockchain networks and smart contract platforms. To investigate the application of NFT-Cert-MN in various industries and use cases. To conduct a more comprehensive evaluation of the proposed framework.
Configuration changes pose unique challenges for code review, - The complexity of SDN configurations, - The need for careful review of configuration changes to mitigate latent…
The lack of understanding of how configuration changes in SDN systems are reviewed, - The need for a systematic study of the differences between configuration, development, and documentation-related changes, - The importance of informing review practices for configuration changes in SDN…
Defining lightweight and scalable special congestion notification message formats. Evaluating interaction with existing congestion control protocols. Quantifying performance gains through broad-scale simulations and real testbeds.
AN ENHANCED ECN-BASED CONGESTION MITIGATION WITH TRAFFIC REROUTING FOR CLOS DATA CENTER NETWORKS · 2026 · DOI
Most-cited papers in Software-Defined Networks and 5G
- Overcoming the Internet impasse through virtualization · Computer · 2005 · 557 citations
- Survey on Network Slicing for Internet of Things Realization in 5G Networks · IEEE Communications Surveys & Tutorials · 2021 · 419 citations
- Holistic Network Virtualization and Pervasive Network Intelligence for 6G · IEEE Communications Surveys & Tutorials · 2021 · 388 citations
- Security and Privacy on 6G Network Edge: A Survey · IEEE Communications Surveys & Tutorials · 2023 · 322 citations
- A Survey of Intelligent Network Slicing Management for Industrial IoT: Integrated Approaches for Smart Transportation, Smart Energy, and Smart Factory · IEEE Communications Surveys & Tutorials · 2022 · 307 citations
- A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects · IEEE Internet of Things Journal · 2023 · 299 citations
- Software-defined networking · Communications of the ACM · 2013 · 210 citations
- AI-empowered, blockchain and SDN integrated security architecture for IoT network of cyber physical systems · Computer Communications · 2021 · 199 citations
- A Graph Neural Network-Based Digital Twin for Network Slicing Management · IEEE Transactions on Industrial Informatics · 2022 · 187 citations
- Steps toward self-aware networks · Communications of the ACM · 2009 · 169 citations
Most recent work
- Programmable optoelectronic Ising machine for optimization of real-world problems · Light Science & Applications · 2026
- SIM-Empowered LAINs: A Unified Channel Model-Driven Optimization Framework · IEEE Wireless Communications · 2026
- AutoRAN: Automated and Zero-Touch Open RAN Systems · IEEE Transactions on Mobile Computing · 2026
- Toward Latency Differentials Optimization in Deploying URLLC Service Function Chains · IEEE Transactions on Services Computing · 2026
- Reliability and Availability in Virtualized Networks: A Survey on Standards, Modeling Approaches, and Research Challenges · IEEE Communications Surveys & Tutorials · 2026
- Bridging the gap: A comprehensive survey on AI-driven digital twin networks for future wireless systems · Journal of King Saud University - Computer and Information Sciences · 2026
- Energy-Aware Service Mesh Deployment and Online Request Routing in Edge: A Hierarchical Deep Reinforcement Learning Approach · IEEE Transactions on Mobile Computing · 2026
- Adaptive-AI-ZeroTrust-Chain: blockchain-backed dynamic zero-trust enforcement via artificial intelligence · Journal of King Saud University - Computer and Information Sciences · 2026
- ASEADOS-SDN-IoT: A novel SDN-IoT network intrusion detection dataset and framework · Internet of Things · 2026
- Frontiers of Generative AI for Network Optimization: Theories, Limits, and Visions · IEEE Communications Surveys & Tutorials · 2026
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