Site Logo E-PROJECTTOPICS

DEVELOPMENT OF AN IMPROVED DYNAMIC ALGORITHM TOENHANCE ENERGY SAVING IN LONG TERM EVOLUTION MOBILE ACCESS NETWORKS


📝


Presented To


Engineering Department

📄 Pages: 87       🧠 Words: 6212       📚 Chapters: 5 🗂️️ For: PROJECT

👁️‍🗨️️️ Views: 164      

⬇️ Download (Complete Report) Now!

ABSTRACT
This research work presents a dynamic algorithm for improving energy saving in Long Term Evolution (LTE) mobile access networks through off mode, sleep mode and multi-cell cooperation utilization at the eNodeBs. The LTE mobile access network environment and the eNodeBs energy saving models were developed with a view to implementing a dynamic energy saving algorithm. The dynamic energy saving algorithm is an integration of two algorithms, namely: energy estimation algorithm and load/traffic sharing algorithm. The energy estimation algorithm is use to estimates the energy consumption of the eNodeBs when they are powered on, irrespective of the traffic loading. The load/traffic sharing algorithm transfers traffic between eNodeBs which enabled the off mode, sleep mode and multi-cell cooperation of the eNodeBs. The dynamic energy saving algorithm was implemented in MATLAB 2013b environment. The performance of the dynamic energy saving algorithm was carried out by simulation using the developed MATLAB graphical user interface (GUI) program called the LTE network energy saving analysis software based on dynamic scheduling. Energy savings were analysed for call blocking probabilities of and while varying the energy load proportionality constant between and in steps ofAn optimum energy saving for the network was achieved when maintaining a call blocking probability of which corresponded to and for the energy-load proportionality constant of and respectively. Validation of the proposed dynamic energy saving algorithm was carried out by comparison with the "always-on" algorithm by Chiaraviglio et al., (2012) and the "sleep-wake" algorithm by Hossain et al., (2013). The result showed that the proposed dynamic energy saving algorithm achieved the highest energy saving of and as compared to the "always-on" algorithm by Chiaraviglio et al., (2012)and the"sleep-wake" algorithm by Hossain et al., (2013)which achieve an energy saving of 0% and 40% respectively while guaranteeing a call blocking probability of at an energy-load proportionality constant of 1.

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: 87       🧠 Words: 6212       📚 Chapters: 5 🗂️️ For: PROJECT

👁️‍🗨️️️ Views: 164      

⬇️ Download (Complete Report) Now!

🔗 Related Topics

DEVELOPMENT OF CATALYST SUPPORT MATERIAL FROM PINDIGA BENTONITIC CLAY DEVELOPMENT OF AN IMPROVED SECURITY AIDED AND GROUP ENCOUNTER PROPHET ROUTING PROTOCOL OF AN OPPORTUNISTIC NETWORK Cellular Mobile Radio Propagation Characteristics DEVELOPMENT OF A TRAFFIC LIGHT CONTROLLER MODEL USING ARTIFICIAL BEE COLONY BASED ADAPTIVE DYNAMIC SCHEDULING ALGORITHM DEVELOPMENT OF A MULTIVARIATE HIGH- ORDER FUZZY TIME SERIES FORECASTING MODEL WITH DATA CLUSTERING FOR OPTIMUM PREDICTION AND CONTROL OF HANDOVER-BASED MOBILITY MANAGEMENT INVESTIGATION OF CREEP BEHAVIOUR OF BLACK AFARA (Terminalia ivorensis) TIMBER DESIGN, CONSTRUCTION AND TESTING OF A FLUIDISED BED COMBUSTION BOILER FOR ENERGY PRODUCTION TRANSMISSION AND ABSORPTION MEASUREMENTS OF HIGH ENERGY ELECTRONS WITH METALLIC AND INSULATING FOILS DEVELOPMENT OF A FUZZY TIME SERIES MODEL USING CAT SWARM OPTIMIZATION CLUSTERING AND OPTIMIZED WEIGHTS OF FUZZY RELATIONS APPLICATION OF BAT ALGORITHM-BASED METHOD FOR MULTI-OBJECTIVE OPTIMAL NETWORK RECONFIGURATION AND DISTRIBUTED GENERATION PLACEMENT IN RADIAL DISTRIBUTION NETWORK DEVELOPMENT OF MEASUREMENT-BASED ADMISSION CONTROL ALGORITHM FOR EDGE CARRIER ETHERNET NETWORK TO REDUCE PACKET LOSS AND IMPROVE BANDWIDTH UTILIZATION DEVELOPMENT OF A DISTRIBUTED BIG DATA FUSION ARCHITECTURE FOR MACHINE-TO-MACHINE COMMUNICATION USING ENSEMBLE LEARNING DETERMINATION OF THE AMOUNT OF DYE EXTRACTED FROM PLANTS AND EXAMINATION OF THEIR FASTNESS PROPERTIES TO COTTON FABRICS DEVELOPMENT OF ADSORBENTS AND PHOTOCATALYSTS USING NIGERIAN PINDIGA BENTONITIC CLAY DEVELOPMENT OF A FUZZIFIED-TREND MAPPING AND IDENTIFICATION (FTMI) MODEL FOR FUZZY TIME SERIES FORECASTING DETERMINATION OF STRESSES IN A SPUR GEAR BY PHOTOELASTIC AND NUMERICAL METHODS DEVELOPMENT OF ZnO/SiO2 PHOTOCATALYSTS FOR ESTERIFICATION OF WASTE COOKING OIL MODELLING OF ENERGY REQUIREMENT DEMAND FOR TILLAGE OPERATIONS IN MAIZE PRODUCTION DEVELOPMENT OF EUCALPYTUS TERETICORNIS COMPOSITE (BARKS AND LEAVES) ADSORBENT FOR ADSORPTION OF CHROMIUM (VI) AND LEAD (II) IONS FROM SIMULATED WASTEWATER DEVELOPMENT AND COMPARATIVE ANALYSIS OF QUOTIENTS REGRESSION BASED EMPIRICAL AND ARTIFICIAL NEURAL NETWORK BASED MODELS FOR PATH LOSS PREDICTION

click on whatsapp