PROJECT TITLE :

Dynamic hybrid-access control in multi-user and multi-femtocell networks via Stackelberg game competition

ABSTRACT:

During this study, the hybrid-access drawback in multi-femtocell networks, where multiple femtocell registered users (FRUs) and unregistered users (FURUs) coexist, is solved based on the optimal resource allocation using Stackelberg game. The most plan of the authors’ proposed theme is to have the femtocell base station (FBS) allocating resources to FRUs freely to ensure their quality of service (QoS), and then obtaining the compensation for giving the hybrid-access through selling the remaining resources to FURUs with high motivation. Based mostly on the Stackelberg game involving the non-cooperative competition among the FBS and multiple FURUs, a dynamic hybrid-access management theme is proposed and analysed for single-femtocell access. Then a dynamic multi-round hybrid-access theme (DMRHAS) with post-DMRHAS is any designed for multi-femtocell hybrid-access. Simulation results show that the proposed schemes have the FBS not solely defend FRUs' QoS, however also dynamically verify the list of accessible FURUs consistent with the channel power gains of FURUs and also the amendment of FRUs' QoS demands, through pricing the FURUs.


Did you like this research project?

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


PROJECT TITLE : Unsupervised Spectral Feature Selection with Dynamic Hyper-graph Learning ABSTRACT: In order to produce interpretable and discriminative results from unsupervised spectral feature selection (USFS) methods, an embedding
PROJECT TITLE : GloDyNE: Global Topology Preserving Dynamic Network Embedding ABSTRACT: Due to the time-evolving nature of many real-world networks, learning low-dimensional topological representations of networks in dynamic environments
PROJECT TITLE : Fully Dynamic kk-Center Clustering With Improved Memory Efficiency ABSTRACT: Any machine learning library worth its salt will include both static and dynamic clustering algorithms as core components. The sliding
PROJECT TITLE : Exploring Temporal Information for Dynamic Network Embedding ABSTRACT: The task of analyzing complex networks is a challenging one that is attracting an increasing amount of attention. One way to make the analysis
PROJECT TITLE : MAGNETIC: Multi-Agent Machine Learning-Based Approach for Energy Efficient Dynamic Consolidation in Data Centers ABSTRACT: Two of the most significant challenges for effective resource management in large-scale

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

Project Enquiry