Radio Resource Allocation And Load Balance Based On Novel Heterogeneous Networks

With the development of wireless communication, the scarcity problem of radio resource becomes more and more severe. As a result, how to utilize the limited radio resource effectively to meet the increasing throughput demand is an important topic in current wireless communication systems. Radio resources management is able to flexibly allocate and schedule system resource, which could help to provide reliable services for users. As an effective mechanism to improve the utilization of system resource, radio resources management has been widely employed in current wireless networks.This paper presents an introduction to the basic preliminaries of heterogeneous network model and radio resources management. Also, the detailed analysis and summary of existing algorithms are provided. Based on above works, the User Equipment (UE)-Relay based heterogeneous network model and dual connectivity based heterogeneous network model are studied and new reasonable radio resources management methods are proposed respectively. The main contributions of this paper are as follows:(1) A novel radio resource allocation algorithm is proposed for UE-Relay based downlink heterogeneous networks. By exploiting the optimal region division and frequency division strategy, the interference among the eNB-relay link and the relay-UE link can be canceled. Moreover, the Fraction Frequency Reuse (FFR) is utilized to improve the spectrum efficiency, and further improvement in system throughput is achieved. In the proposed algorithm, the mixed problem of region division, frequency division and sub-carrier allocation becomes a convex optimization model to maximize the system throughput. In the next process, the convex optimization problem is converted into a dual problem by using dual theory, and finally the optimal solution is obtained by jointly using Lagrange function and subgradient descent method, which reduce the computation complexity hugely. Experimental results show that the proposed algorithm achieves significant improvement for cell-edge UE data rate and UE fairness.(2) A novel load balance algorithm is proposed for the control-plane (C-plane) and user-plane (U-plane) separated dual connectivity based heterogeneous network. The study in this dual connectivity architecture indicates that the optimization of radio resources allocation has little effect on improving system performance. To speed up UE’s data processing, a novel load balance algorithm is proposed, which effectively decreases the data processing delay and improves the system’s balancing factor. By jointly considering channel quality, UE mobility and eNB’s load state, a UE access mechanism is proposed based on a queue processing model. The dynamic balance of system load is implemented by reasonable cell reselection operations. Simulation results are provided to prove the effectiveness of the proposed algorithm on the improvement of system performance.