Novel Resource Allocation Scheme based on Carrier Aggregation for Improving Cell-edge Performance
Yaning Fan, Ying Wang, Ruijin Sun, Junwei Zhao · 2018
The poor performance at cell-edge communication in most existed systems is a common and challenging problem. In terms of this issue, we propose a strategy of resource allocation based on Carrier Aggregation (CA) to improve cell-edge performance. This paper starts from the point of resource allocation, aiming to improve cell-edge performance through rational and effective resource allocation schemes inside cells. Taking throughput and fairness along with business factor which represents the amount of loads into account, we define a novel utility function referring the general idea of proportional fair scheme. We firstly propose a centralized scheme in which the optimization problem is a 0-1 Integer Linear Programming (ILP) problem. By relaxing the 0-1 ILP problem to a LP problem, we get the optimal solution. Considering the difficulty in communication among carriers in some existed communication systems along with the complexity of the centralized scheme, we subsequently propose a distributed scheme. At last, simulation results show that both schemes perform outstandingly.