Research On Technologies Of Radio Resource Management In LTE-A Heterogeneous Network

With the rapid development of Mobile Internet and Internet of Things,there will be a growth spurt on mobile data traffic. People have put forward higher requirements to high speed, low latency and high reliable mobile communication system. By establishing high-power Macro Cells and Small Cells with different transmission powers, heterogeneous network(HetNet) will be able to improve network coverage, enhance system capacity and shunt the traffic. With a more flexible network deployment,we can achieve more efficient frequency uses. However, ultra-dense network of Small Cells and endless stream of new network structures have put forward new requirements for radio resource management (RRM). In this paper, we studied the recent progress of RRM in HetNet. Based on the latest HetNet structure, we studied the interference management algorithm and the uplink power control algorithm. By system level simulation platform, we evaluated the performance of our proposed algorithms.Based on the EU METIS ultra-dense network scenario, we proposed an interference management algorithm based on simulated annealing algorithm. Through the user measurement reporting mechanism, the system interference topology is established. And by clustering technology,Small Cells that may impose serious inter-cell interference are divided into a cluster. In the cluster, simulated annealing algorithm is applied to allocate frequency resources. By frequency division multiplexing technology, we can reduce inter-cell interference. Simulation results show that our algorithm can improve the UE SINR compared with the user-based interference management scheme. And compared with the full-frequency multiplexing scheme, our scheme can improve the UE throughput,especially for the edge UE.Based on the 3GPP dual connectivity scenario, we proposed a dynamic uplink power control algorithm. Our scheme dynamically adjusts the power of the MeNB and the SeNB based on system traffic demands and interference over thermal (IoT).In addition, in paper we give a detail description of the power initialization, interference measurement, power dynamic adjustment and service base station interaction procedures.Simulation results show that our algorithm has obvious advantages equally splitting scheme and path-loss based splitting scheme in terms of throughput, SINR and IoT. Moreover, convergence of the proved by IoT curves.