Gaganpreet Singh

Gaganpreet Singh

CUPS Architecture in EPC: Enabling Scalable and Flexible LTE Core Networks

Explore how Control and User Plane Separation (CUPS) in EPC enhances flexibility, scalability, and performance in LTE mobile core networks.

Understanding the Voice Call Handover Process from 5G to 4G in Mobile Networks

Explore how voice call continuity is achieved during a handover from 5G NR to 4G LTE with detailed step-by-step signaling flow and network element coordination.

Maintaining Voice Call Continuity Across 2G, 3G, 4G, and 5G Networks with Integrated 5G Systems

Seamless voice call continuity across 2G to 5G networks requires tight integration of 5G core systems with existing architectures and low-latency technologies.

5G Technology Metrics Explained: Base Station, Uplink, and User Equipment Comparison

Explore in-depth technology metrics for 5G systems, comparing key specifications across base stations, uplink CPEs, and user devices to understand network design and performance.

Understanding H-CRAN Architecture: A Hybrid Approach to Efficient 5G and Beyond Networks

Explore how H-CRAN combines macro base stations, RRHs, and centralized BBU pools to enhance 5G performance through cloud integration and fronthaul efficiency.

Deployment Models of Edge Computing: Fog, MEC, and Cloudlets Explained

Explore the key edge computing deployment models—Fog Computing, MEC, and Cloudlets. Learn their strengths, power consumption, latency, and industry adoption.

LTE-V2X vs NR-V2X: Key Differences for the Future of Vehicle-to-Everything Communication

Explore the evolution from LTE-V2X to NR-V2X and discover how 5G enhances communication for autonomous vehicles with ultra-low latency and advanced reliability.

CAVs in 6G Network Architecture: Enabling Connected Autonomous Vehicles with Space and Edge Networks

Discover how 6G network architecture powers Connected Autonomous Vehicles (CAVs) using space access networks, edge computing, and intelligent connectivity.

C-RAN vs F-RAN Architecture: Key Differences in Cloud and Fog Radio Access Networks

Explore the difference between C-RAN and F-RAN architectures in mobile networks. Discover how edge processing in F-RAN boosts performance, latency, and scalability.

Artificial Intelligence and Blockchain in Ultra-Dense Edge Computing: The I-UDEC Framework Explained

Discover how the I-UDEC framework integrates AI and Blockchain to optimize computation offloading, resource allocation, and service placement in ultra-dense edge environments.