A Dynamic Enhanced Inter-Cell Interference Coordination Method Based on Traffic Prediction

Abstract

The invention relates to a service forecast based dynamic eICIC (enhanced inter-cell interference coordination) method. Aiming at the interference of a macro base station with higher power in a heterogeneous network in users in a small cell extended area , a dynamic ABS (almost blank subframe) adjustment mechanism based on user service forecast and user data queue length as constraint conditions is adopted, the optimal ABS density (the proportion of ABSs in total subframes) is selected comprehensively by predicting the data service volumes of mobile users in adjustment periods in combination with factors such as differences of base stations to which the users belong in user service serving capabilities under different ABS conditions, requirements of the users for cached data queue length Qos and the like, and the problem that a system cannot master user service change timely and performs improper operation is solved. Therefore, service requirements of macro users can be met while the user throughout of the small cell extended area is increased; the packet loss probability of the users can be reduced due to consideration of the requirements of the users for the cached data queue length.

Description

technical field [0001] The invention belongs to the technical field of mobile communication networks, and relates to a dynamic enhanced inter-cell interference coordination method based on service prediction. Background technique [0002] With the full commercialization of 4G mobile communication technology, wireless communication has entered an era of rapid development. In order to meet the increasing network requirements of users, within the coverage of macro cells, the method of using small cells to increase capacity in hotspot areas has been widely used. In the next-generation wireless communication system, dense or even ultra-dense small cell deployment has been recognized as an important technical means to meet users' ultra-high capacity requirements. [0003] In a heterogeneous network, small cells are usually used as an important means to improve capacity in hotspot areas. However, since the transmission power of a macro base station is generally much higher than t...

AI Technical Summary

Problems solved by technology

At present, the adjustment of the ABS ratio in eICIC technology is based on a large time scale. The adjustment time is slow and cannot adapt to the rapidly changing business. At the same time, users are rarely considered from the perspective of data queues to be transmitted. Qos requirements

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