Methodology for 5G-Multi-tier Wireless Networks Capacity Optimization

Now days there is more number of research studies going on emerging wireless communication technology called 5G.5G networks are nothing but the combination of multiple network tiers with varying sizes, the various types of sizes, transfers the powers, using the backhaul connections, there are various types of radio access technologies (RATs) that are accessed by an unusual numbers of smart and heterogeneous wireless devices. In the multi-tier networks, there is key problem of is usefull and interference management. The resource and interference management is having direct impact of 5G network capacity performance. Therefore the current most of 5G related research studies are having objective of 5G network capacity improvement along with power efficiency through the novel resource and interference management technique. In this paper, we first presenting the OFDM-MIMO wireless transmitter and receiver designed for 5G network in MATLAB using QPSK modulation and turbo encoding technique, and then secondly proposed optimized joint distributed the cell association and power control (CAPC) technique that fullfill the objectives such as maximizing method throughput, less energy consumption, less delay, less latency and to the high priority users the balance traffic load subject to a minimum SIR. To address these a various types of objectives, resource aware user association can be intigrated with the conventional cell association systems to fulfill the needed objectives. The practical simulation and analysis of proposed hybrid resource management method is done using NS2. This paper presents both MATLAB and NS2 outcomes.