Radio resource distribution method of ultra-dense small cell network system

Abstract

The embodiment of the invention provides a radio resource distribution method of an ultra-dense small cell network system. The method mainly comprises: in each small cell, distributing a channel, corresponding to a maximum channel gain, of the small cell to a designated user terminal; calculating the channel capacity of the small cell on each channel; and calculating the transmitting power of each channel of the small cell based on a principle that the sum of the channel capacity of all small cells is maximum and according to a distributed power control algorithm. According to the embodiment of the invention, by using a distributed radio resource distribution algorithm, solution of the optimum transmitting power of the small cell base station on each channel can be locally carried out; complex bloat and mass signalling overhead, which result from centralized control of resource distribution of all small cells by a macro base station, are avoided; and flexibility, effectiveness, and robustness of the system are increased. The method is adapted to the development trend of a modernization flat network structure and enables green communication realized.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of wireless communication, and in particular to a method for allocating wireless resources in an ultra-dense small cell network system. Background technique [0002] It is estimated that the scale of global mobile data traffic will reach 15.9 EB in 2018, an increase of nearly 11 times compared with 2013. However, since macro sites are already densely populated, it is very difficult to continue encryption. Therefore, operators urgently need to distribute macro cell traffic and deploy Net simple and easy solution. Due to the characteristics of low power, small coverage and flexible networking, small cells are especially suitable for blind filling in urban areas and distribution of hotspot areas. Small cells integrate Femtocell, Picocell, Microcell, Relay and distributed wireless technologies, which can be used to expand coverage and improve network capacity. In busy areas, small cell...

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Problems solved by technology

[0013] It can be seen that the above optimization problem is a nonlinear mixed integer programming problem (MINLP, Mixed Integer Nonlinear Programming), that is, the values ​​of its planning variables are both integers and non-integers, which is a non-deterministic polynomial difficulty ( NP-hard,Non-deterministic Polynomial Hard) problem

[0015] The disadvantages of the method for solving the above optimization problem in the above prior art are: this method causes a great burden on the macro base station, and the calculation complexity is very high

Especially in the scenario where small cells are extremely densely distributed, the signaling overhead of all small cell base stations received by the macro base station is large, and the timeliness of the results obtained by the subcarrier allocation algorithm and power control algorithm used is low, which cannot adapt to the current network. The need for an increasingly flat structure

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