Jul 2026· International Conference on Ubiquitous and Future Networks· pp. 768-773· 0 citations· 16 references
Abstract
Mobility Robustness Optimization (MRO) is essential to maintain service continuity, yet its execution often conflicts with Mobility Load Balancing (MLB) functions. While existing literature relies heavily on simulated environments, this paper presents a novel, data-driven, and congestion-aware MRO framework design for live networks. The proposed approach employs multi-vendor capabilities and a five-phase rule-based system to ensure that Handover Control Parameter (HCP) adjustments are grounded in domain-specific knowledge. The framework was deployed in a live network, processing data from over 10,000 cells. Live results show a 19.9% increase in user throughput, a 7.6% decrease in Handover Failures (HOF), and a 36.6% reduction in packet drop rate. Ultimately, this study demonstrates that the proposed framework is highly scalable and adaptive for diverse multi-vendor network environments.
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
— 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.
Ade Nurhayati· Journal of Communications· 0 citations
Flying Ad-Hoc Networks (FANET) has become popular for many applications that require the exchange of reliable, real-time data, such as environmental monitoring or disaster assessment. Most of the missions that rely on FANETs require traffic to meet strict Quality of Service (QoS) requirements (e.g., low latency, high reliability, etc.) and will also have high mobility and often experience sudden changes in their topology. However, almost all routing algorithms currently used in FANETs were not purpose-built to handle these constraints; consequently, they exhibit reduced performance under both conditions. Variation in link quality and intermittent connectivity make maintaining consistent communication more difficult. The proposed QoS-Aware Routing (QAR) framework incorporates application-specific QoS requirements directly into the routing process, enabling route selection to better satisfy the communication demands of diverse FANET applications. The proposed scheme continuously monitors key QoS metrics, such as delay, packet loss, and throughput, and informs routing decisions based on evolving network conditions. QAR will enhance data delivery reliability within the network and increase overall network efficiency by matching real-time QoS measurements to route selection. The simulations show that the proposed algorithm provides better QoS and more predictable communication behaviour than traditional FANET routing protocols, indicating that it can be used in mission-based Unmanned Aerial Vehicle (UAV) applications.
Unknown authors· international journal of eng...· 0 citations
The intelligent era is fast developing to promote complex services running in the cloud. In this context, Data traffic with heterogeneous transport protocols is intertwined in the cloud centers, especially the reactive protocols and proactive protocols, hurting the fairness of data transmission. In this paper, we propose FairHet, a credit-scheduled protocol that utilizes delay information as the congestion signal to achieve fair coexistence of heterogeneous traffic while maintaining high-efficiency data transmission. Compared to existing solutions, FairHet has a broader application scope through mere algorithm-level modifications. The experimental results demonstrate that FairHet handles heterogeneous traffic coexistence scenarios well while retaining high-performance characteristics, including low buffer occupancy and rapid convergence.
Shan Huang, Dinghuang Hu, Gen Zhang et al.· Fall Joint Computer Conferen...· 0 citations
: Multipath load balancing can effectively improve network throughput and reliability by aggregating the available bandwidth of multiple paths. However, existing load balancing schemes including Equal-Cost Multi-Path forwarding (ECMP), Weighted-Cost Multi-Path forwarding (WCMP) or LetFlow may lead to significant performance degradation due to hash conflicts and only target fixed symmetric topologies (e.g., Fattree). Flowlet switching has been proven to be a fine-grained load balancing technique, but remains elusive for widespread deployment. The emergence of network programmability including the control plane and data plane provides a new insight for the management of multipath load balancing. To achieve more effective load balancing and guarantee Quality of Service (QoS) on any network topology, we present ConFlet, a congestion-aware load balancing with Flowlet switching based on the cooperation of the data and control plane, where the control plane monitors the global network status to perform the optimized routing decision, and the data plane implements the flow splitting and path switching. Specifically, the centralized controller evaluates the reliability of nodes and links to perform multi-path routing calculations, ensuring that flows always travel along the most reliable multiple paths. The data plane can dynamically set the flowlet timeout to split flows into flowlets according to the path quality difference, and then implement path switching and congestion avoidance based on real-time congestion feedback. Experimental results show that compared to WCMP/LetFlow, ConFlet can significantly improve average service reliability and network throughput, and reduce average packet delay. Meanwhile, ConFlet can react quickly to congestion and maintain high resilience to network asymmetry
Unknown authors· Computers, Materials & C...· 0 citations
A QoE-aware framework for Multi-Access Edge Computing-enabled Open Radio Access Network (O-RAN) architectures, combining a graph attention network (GAT) encoder, distributed multi-agent DRL, and privacy-preserving FL, while transitioning control from Quality of Service (QoS) to QoE metrics is proposed.
Manoj Prasad Kunasegran, Wai Leong Pang, S. K. Phang· IEEE Access· 0 citations
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