Power Optimization Design For Improving Energy Efficiency In Dense Small Cell Network

In the wireless network, the number of user and the kind of equipment becoming more and more, the burst of growth in mobile broadband services, stimulate researchers’ interesting in wireless network. According to these, to bring human beings good communication experience, we have studied some aspects in Dense Small Cell Network, adding Access Point, link load balancing. In this thesis, we do the research in small base station of Dense Small Cell Network, using proper allocation to achieve the maximum network capacity and resource. We do some research about pilot power allocation algorithm and clustering management based on the deployment of Dense Small Cell Network.First, we study the pilot power allocation in Small Cell Network, balancing user loading and Glowworm Swarm Optimization. On account of the characteristic of Dense Small Cell Network, we propose an algorithm to optimize pilot power, which is based on Glowworm Swarm Optimization. We satisfied the requirement of coverage and service. At the same time, make sure network resource will be taken full advantage and minimize holes in network coverage. Simulation result proves that by allocating pilot power, we can save power resource and improve system capacity.Second, this thesis does research on interference management. According to analyzing the way of interference coordination and power allocation, we propose a new method in which the level of inter-cell interference is combined with clustering. Based on the degree of interference, cells with the bigger inter-cell interference are divided in the same cluster. The cells within a cluster share the spectrum and serve the user terminals with cooperation and the cells within different clusters may reuse the spectrum. Simulation results show that the proposed algorithm can effectively decrease the interference and improve system throughput in densely deployed small networks.Finally, we design a multi-video transport system by power optimization to intelligent adjust network resource. As an example of high-definition video, server can get network performance parameters. Using this information to find the best transmit access point will realize the requirement of future network, higher rate, bigger data, lower overhead. The result shows that this system which aims at network resource automatic allocation is effective by insuring quality of video transmission and making the best of wireless resource.