A Network Access Control Algorithm Based on Q-learning
Feng Chenwe · Jisuanji gongcheng · 2015
The next generation wireless network is the heterogeneous network of coexistence of a variety of wireless access technology.In order to make full use of the resources of all kinds of wireless network,the integration of heterogeneous network is necessary.However,when it comes to the heterogeneous network integration,the call request access control problem comes.In wireless heterogeneous network composing of Long Term Evolution(LTE),Wireless Local Area Network(WLAN)and Device-to-Device(D2D),an algorithm is presented for heterogeneous wireless network selection.The proposed algorithm based on Q-learning can select the appropriate network for access according to different traffic types,terminal mobility and network load status by using the return function composing of matching coefficient reflecting the network contribution,the corresponding traffic and mobility.Simulation results show that the proposed algorithm has an efficient learning ability to achieve autonomous radio resource management,which effectively improves the spectrum utility and reduces the blocking probability.