A Carrier Aggregation Based Resource Allocation Scheme for Pervasive Wireless Networks

The mixture of users with different bandwidth capability presents new challenges to optimize the transmission performance of the next generation wireless networks. This paper focuses on resource allocation for pervasive wireless networks with component carrier (CC) aggregation. Distinguished from many existing methods that decompose the resource optimization problem into two sequence steps, i.e., CC scheduling and resource block (RB) assignment on each carrier, we develop a novel joint CC and RB allocation algorithm to maximize network utility, namely Minimizing System Utility Loss (MSUL) algorithm. Numerical results indicate that MSUL is able to improve the system performance in terms of network utility, average throughput and fairness compared with the algorithms optimizing CCs and RBs allocation separately.