Site Logo E-PROJECTTOPICS

DEVELOPMENT OF AN ADAPTIVE TRACKING AREA LIST LOCATION MANAGEMENT SCHEME IN LONG TERM EVOLUTION (LTE) NETWORKS


📝


Presented To


Engineering Department

📄 Pages: 99       🧠 Words: 9230       📚 Chapters: 5 🗂️️ For: PROJECT

👁️‍🗨️️️ Views: 136      

⬇️ Download (Complete Report) Now!

ABSTRACT
High signaling load due to location management (LM) scheme in Long Term Evolution (LTE) Networks is a major quality of service issue due to the significant amount of resources consumed by this scheme. This scheme needs to be managed efficiently to guarantee seamless connection to any user on the Network at any time. Increasing trends of connected mobile equipment has further increase the required signaling resources for the Location Management Scheme in LTE. There are different enhanced strategies in the literature with different requirements which are not visible on the present LTE network architecture. One of the reason for high LM cost in LTE is the mass User Equipment (UE) movement in same direction. This is due to its inability to adapt to UE movement. This research developed Adaptive Tracking Area List (aTAL) for LTE to improve LM cost by reducing the number of location updates and paging required to track and setup call to UEs successfully. This aTAL strategy systematically allocates TAL to UEs based on its movement across rings of contiguous Tracking Areas (TAs). The algorithm used initial state of 1 TA allocation to a UE and subsequent allocation, is group of TAs regarded as a TAL segment in this work. A TAL segment is a group of 3 TAs after the initial TA allocation. To implement this algorithm, A TAL table is configured with respect to the contiguous arrangement of the TAL. The adaptive algorithm is embedded in the configured TAL table. This adaptive TAL strategy improves location management cost for ping pong, regular, irregular and mass movement patterns by 45.07%, 9.86%, 24.32% and 33.51% respectively compared to Conventional Tracking Area List Strategy

PLEASE NOTE

This material is a comprehensive and well-written project, structured into Chapter (1 to 5) for clarity and depth.


To access the full material click the download button below


OR


Contact our support team via Call/WhatsApp: 09019904113 for further inquiries.

Thank you for choosing us!

📄 Pages: 99       🧠 Words: 9230       📚 Chapters: 5 🗂️️ For: PROJECT

👁️‍🗨️️️ Views: 136      

⬇️ Download (Complete Report) Now!

🔗 Related Topics

DEVELOPMENT OF A PROCESS ROUTE FOR THE BENEFICIATION OF MALLAM AYUBA MANGANESE DEPOSIT TO FERROMANGANESE FEED GRADE DEVELOPMENT OF AN IMPROVED EXTENDED DIJKSTRA ALGORITHM FOR SOFTWARE DEFINED NETWORKS TIME AND COST PERFORMANCE LIABILITY ALLOCATION IN THE BUILDING PROCESS DEVELOPMENT OF A PILOT ALLOCATION PROTOCOL TO MITIGATE THE EFFECT OF PILOT CONTAMINATION IN MASSIVE MULTIPLE INPUT MULTIPLE OUTPUT SYSTEM DETERMINATION OF STRESSES IN A SPUR GEAR BY PHOTOELASTIC AND NUMERICAL METHODS DEVELOPMENT OF A ROBUST DIGITAL IMAGE WATERMARKING TECHNIQUE IN DISCRETE ORTHONORMAL STOCKWELL TRANSFORM DOMAIN BASED ON PHOTON POLARIZATION DEVELOPMENT OF AN IMPROVED SECURITY AIDED AND GROUP ENCOUNTER PROPHET ROUTING PROTOCOL OF AN OPPORTUNISTIC NETWORK DEVELOPMENT OF A PRIVACY AIDED TRUST ROUTING ALGORITHM BASED ON SOCIAL SIMILARITY IN OPPORTUNISTIC NETWORK DEVELOPMENT OF A MODIFIED HANDOVER DECISION ALGORITHM FOR INTER-FEMTOCELL HANDOVER IN LONG TERM EVOLUTION NETWORK POLLUTION AND SELF PURIFICATION STUDIES OF RIVER ROMI, CHIKUN LOCAL GOVERNMENT AREA KADUNA STATE DEVELOPMENT OF MAINTENANCE SCHEDULES FOR NATIONAL ELECTRIC POWER AUTHORITY GENERATING FACILITIES DEVELOPMENT OF A FUZZIFIED-TREND MAPPING AND IDENTIFICATION (FTMI) MODEL FOR FUZZY TIME SERIES FORECASTING SCALABILITY EVALUATION AND IMPROVEMENT IN IP-BASED CAMPUS NETWORKS: A CASE STUDY OF AHMADU BELLO UNIVERSITY ZARIA NETWORK MODELLING OPTIMAL WATER RESOURCES ALLOCATION IN TIGA DAM DEVELOPMENT OF AN OPTIMIZED ROUTING SCHEME FOR A CAPACITATED VEHICLE MODEL YIELD AND WATER USE RESPONSE OF WATERMELON UNDER DEFICIT IRRIGATION AND MULCH DEVELOPMENT AND SIMULATION OF A SINUSOIDAL PULSE WIDTH MODULATION-BASED CONTROL SCHEME FOR IMPROVED EFFICIENCY AND TORQUE PRODUCTION IN SINGLE PHASE INDUCTION MACHINES DEVELOPMENT OF A MODEL FOR INTERNAL NETWORK INTRUSION DETECTION SYSTEM FOR MULTI DISCIPLINARY CAMPUS NETWORK DEVELOPMENT OF LARGE PORE ZEOLITE FROM KAOLINITE CLAYS DEVELOPMENT OF PREDICTIVE MODEL FOR INTRA-CITY BUS TRAVEL TIME

click on whatsapp