인지 기반 사물통신 네트워크에서의 통신 성능 향상을 위한 이동성 제어 기법

Due to the recent progress in the wireless telecommunication technique, new communication services based on the fast data communication and the low communication cost are being proposed. This new business opportunity involves the paradigm shift from human-to-human (H2H) to machine-to-machine (M2M) communication. However, since M2M network consists of a huge number of devices requiring the reliable communication quality among them, the simultaneous accesses of them to the limited network resources will bring about various problems related to the network scalability and reliability. As a way to solve these problems, cognitive radio is adopted to a M2M network. Under this configuration, we propose a mobility control algorithm for secondary devices (SDs) to improve the throughput of them. In the proposed algorithm, SDs get the information about locations and traffic demands of PUs, and then they cooperatively construct an opportunistic potential map and share it among them. By comparing the traffic demand and the opportunistic transmission rate from the map in each SD, the SD moves to the location where the required QoS is guaranteed. Through extensive simulations, we show that our proposed mobility control algorithm considerably improves the localization precision of PUs and throughput.