2026· Journal of Communications· 0 citations· 49 references
TL;DR
An innovative integration of Named Data Networking (NDN) into the 5G architecture is introduced, incorporating an Enhanced Popularity-Based Caching mechanism at the Multi-access Edge Computing (MEC) layer of the 5G user plane.
Abstract
— The increase in mobile data traffic in Fifth-Generation (5G) networks means that new handover management and content delivery solutions are needed to keep the network running smoothly and the user experience high. This paper introduces an innovative integration of Named Data Networking (NDN) into the 5G architecture, incorporating an Enhanced Popularity-Based Caching mechanism at the Multi-access Edge Computing (MEC) layer of the 5G user plane. Our design is different from previous ones because it changes how content is replicated based on how mobile and dense the User Equipment (UE) and gNB are in real time. Using Python-based models, we ran a lot of simulations to compare baseline 5G, edge-caching, and full NDN configurations. The proposed solution had a Handover Success Rate (HSR) of over 90%, a Cache Hit RAtio (CHR) of between 78% and 80%, an average latency of about 20 ms, and a packet loss rate of less than 1.0% across a wide range of network scenarios. The NDN integrated architecture cuts latency by up to 35%, boosts throughput by 40%, makes fallback efficiency improved by 36.8%, and raises average HSR by 25 – 40%. All of these changes improve the Quality of Experience (QoE) in environments with a lot of movement. The research we conduct aims to facilitate seamless, scalable, and resilient content delivery for next-generation 5G edge networks.
The deployment of Ultra-Dense Networks (UDNs) in 5G systems is to meet the growing demand for high data rates and massive connectivity. However, the dense deployment of small cells increases handover frequency, leading to challenges such as handover failures (HOF), unnecessary handovers, and the ping-pong effect, leading to degradeuser Quality of Service (QoS). This paper proposes a velocity-aware adaptive handover control approach for efficient mobility management in 5G ultra-dense networks. The proposed approach dynamically adjusts Handover Control Parameters (HCPs) called Time-to-Trigger (TTT) and Handover Margin (HOM) on the real-time velocity of User Equipment (UE) and signal conditions. The system is modeled as a two-tier heterogeneous network consisting of a macrocell overlaid with multiple small cells, and performance is evaluated using the Cost 231-Hata propagation model. The findings demonstrate that the proposed algorithm significantly reduces the total number of handovers, mitigates the ping-pong effect, and lowers handover failure rates compared to conventional static schemes. The results confirm that velocity-aware adaptive control enhances network reliability, reduces signaling overhead, and improves overall mobility performance in 5G ultra-dense environments.
Halah Hassen Aldumaini, Hanadi Esmeail Yahya, Oloof Ameen Mohmmed et al.· 2026 6th International Confe...· 0 citations
An improved strict-priority Deficit Round-Robin (SP-DRR) scheduling strategy is proposed and incorporates it into a unified moment generating function (MGF) analytical framework, referred to as SP-DRR-MGF, for probabilistic E2E delay analysis in 5G–TSN networks.
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MEC is validated as a key enabling complementary technology for 6G networks with its supporting use cases for Ultra-Reliable Low-Latency Communication (URLLC); and the paper also reveals open research challenges in adaptive resource allocation, security and AI-based orchestration for future edge architectures in 6G.
Jayant Pratap, Amandeep, Dharmender Kumar, Suraj S· International Journal of Adv...· 0 citations