Towards coordinating self-healing instances: Policy-based and non-cooperative game theory-based approaches with location awareness
Self-healing is an essential functionality in Self-Organizing cellular Network (SON). It aims to
ensure service continuity by detecting, diagnosing, and compensating network outage after …
ensure service continuity by detecting, diagnosing, and compensating network outage after …
Self-healing Nodes with Adaptive Data-Sharding
Data sharding, a technique for partitioning and distributing data among multiple servers or
nodes, offers enhancements in the scalability, performance, and fault tolerance of extensive …
nodes, offers enhancements in the scalability, performance, and fault tolerance of extensive …
Data-Driven Intelligent Outage Management for High Shadowing Environments in 5G&B Networks
In the evolving landscape of 5G and forthcoming 6G networks, managing outages becomes
increasingly complex due to higher Base Station (BS) densities and the consequent rise in …
increasingly complex due to higher Base Station (BS) densities and the consequent rise in …
Anomaly Detection In Telecommunication Networks: Leveraging Novel Big Data And Machine Learning Techniques For Proactive Fault Management
SAA Ali - Educational Administration: Theory and Practice, 2024 - kuey.net
The telecommunication industry has experienced exponential growth, leading to complex
and intricate networks designed to support the ever-increasing demands of a hyper …
and intricate networks designed to support the ever-increasing demands of a hyper …
A Review of Reinforcement Learning Approaches for Autonomous Systems in Industry 4.0
BHK Mohan, P Padmaja, M Durairaj… - Industry 4.0 Key …, 2024 - taylorfrancis.com
The integration of reinforcement learning (RL) into autonomous systems is investigated in
this study, which also examines major developments, practical issues, practical applications …
this study, which also examines major developments, practical issues, practical applications …
Towards AI-enabled Diagnostics from Noisy and Incomplete Data
MS Riaz - 2024 - shareok.org
The advent of artificial intelligence (AI) has revolutionized diagnostic procedures, promising
enhanced accuracy and efficiency across various domains. This dissertation leverages AI …
enhanced accuracy and efficiency across various domains. This dissertation leverages AI …
STRCA: A Lightweight and Accurate Root Cause Analysis System Based on 5G Signalling Trace
J Fang, J Fu, J Sun, L Geng, Y Liu, W Ma - International Conference on …, 2024 - Springer
The 5G core network (5GC) comprises a multitude of network elements through network
function virtualization technology (NFV). A network element fault could seriously degrade the …
function virtualization technology (NFV). A network element fault could seriously degrade the …
Predicting Underperformance In 5G Cellular Networks Using Supervised Machine Learning Based on End-User Data
NH Brand, C Gran, TH Gudvangen - 2024 - ntnuopen.ntnu.no
With the constant evolution of technology within cellular networks, continuous reliability
poses significant problems due to a growing user-base, the complexity of technologies, and …
poses significant problems due to a growing user-base, the complexity of technologies, and …
Ai-Powered Resilience: A Dual-Approach for Outage Management in Dense Cellular Networks
As 5G evolves to 6G, network management faces growing challenges with increasing base
station (BS) density, leading to more frequent outages. To address this, we introduce a …
station (BS) density, leading to more frequent outages. To address this, we introduce a …