PROJECT TITLE :

Dynamic SON-Enabled Location Management in LTE Networks - 2018

ABSTRACT:

Wireless networks face various challenges that demand continuous and rapid improvement. Long-Term Evolution (LTE) is a most popular wireless technology as a result of of its satisfactory performance. Owing to an exponential increase in demand and new potential applications, the core network of LTE, which is known as the Evolved Packet Core (EPC), is suffering from a surge in signaling caused by a variety of control functions. The signaling overhead decreases the users' Quality of Experience (QoE). This study attempts to boost the intelligence of location management techniques. As an extension of our previous study [1], a Self-Organizing Network (SON) that permits dynamic reconfiguration of cell-to-TAL/MME is introduced. Each centralized and distributed pooling schemes are tested in terms of signaling overhead and user power consumption. A decomposition model that reduces the initial formulated problem to 2 sub-issues is proposed, every of that is solved optimally. In addition, a sensible cell-to-TAL choice theme is proposed to prioritize potential cells that might be visited by a user equipment (UE). Our technique is shown to outperform many state-of-the-art ways presented within the literature. Finally, a heuristic algorithm is presented to get a less complicated resolution than the optimal one.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : A Novel Dynamic Model Capturing Spatial and Temporal Patterns for Facial Expression Analysis ABSTRACT: Incorporating spatial and temporal patterns present in facial behavior should substantially improve facial
PROJECT TITLE : Use of a Tracer-Specific Deep Artificial Neural Net to Denoise Dynamic PET Images ABSTRACT: The use of kinetic modeling (KM) on a voxel level in dynamic PET pictures frequently results in large amounts of noise,
PROJECT TITLE : Robust Unsupervised Multi-view Feature Learning with Dynamic Graph ABSTRACT: By modeling the affinity associations with a graph to lower the dimension, graph-based multi-view feature learning algorithms learn a
PROJECT TITLE : Deep Tone Mapping Operator for High Dynamic Range Images ABSTRACT: The need for a rapid tone mapping operator (TMO) capable of adapting to a wide range of high dynamic range (HDR) content on low dynamic range (LDR)
PROJECT TITLE : Dynamic Scene Deblurring by Depth Guided Model ABSTRACT: Object movement, depth fluctuation, and camera shake are the most common causes of dynamic scene blur. For the most part, present approaches use picture

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry