Pricing Based Distributed Traffic Allocation for 5G Heterogeneous Networks

摘要: Next generation (5G and beyond) mobile networks will highly rely on distributed heterogeneous infrastructure, which is foreseen to create a versatile resource ecosystem. In such network deployments, efficient traffic allocation management of prominent priority. The increasing congestion conditions cellular infrastructures have steered extensive research focus towards Heterogeneous Network (HetNet) access solutions. deployment dense multiple radio technology (RAT) combined with the enhanced capabilities devices maintain concurrent connections through different RATs, add up complexity problem. Traffic becomes more challenging when using diverse technologies concurrently serve classes Quality Service (QoS) demands. Towards viable solution, we proposed pricing-based selection process for networks, running in manner, has proved lead equilibrium under developed policies. this paper, extend our pricing algorithm by providing new approach that introduces personalized based load pressure an decision impose RAT. central system decisions are confined dynamically select UE polling rank policy presenting closest potential performance optimal centralized used as benchmark ranking. proportional fairness reference drive We assess scheme work, employ simulations testbed experimentation evaluate its terms bandwidth allocation, price variation, induced cost clients served HetNet.