Low-complexity Femtocell spectrum resource distribution method based on cognition

Abstract

The invention relates to a low-complexity Femtocell spectrum resource distribution method based on cognition, and belongs to the field of wireless communication. The method includes the steps that a macro cell is divided into a central region and marginal regions by a macro cell layer of a network through the fractional frequency reuse method, the whole frequency spectrum is used by the central region, and three orthogonal frequency sub-bands of the frequency spectrum are used by the marginal regions respectively; resource distribution is conducted on domestic users in a home cell in the Femtocell in the polling mechanism sequence, and the whole frequency spectrum is used for the domestic users; the Femtocell is an isolated base station, and only the interference of the users in the macro cell on the home cell needs to be considered in the resource distribution process; otherwise, the interference of users in a home cell, overlapping the home cell where the Femtocell Nj is located, on the home cell needs to be considered besides the interference of the users in the macro cell on the home cell in the resource block distribution process. The method is low in complexity, easy to operate and capable of effectively avoiding interference and improving the frequency spectrum utilization efficiency.

Description

technical field [0001] The invention belongs to the field of frequency spectrum resource allocation of wireless communication, in particular to a low-complexity cognitive-based frequency spectrum allocation method for resource allocation of heterogeneous networks. Background technique [0002] In traditional cellular networks, the spectral efficiency of point-to-point links is close to the theoretical limit, but people's requirements for high-quality services and large data traffic continue to increase, so it is necessary to further increase network capacity to meet people's needs. However, in the case where the current network has been deployed relatively densely, the interference between cells severely limits the gain obtained through cell splitting technology, and due to the high cost of high-power nodes, this further makes the method of cell splitting unfeasible . Therefore, the technology of significantly improving the network capacity by changing the topology of the n...

AI Technical Summary

Problems solved by technology

However, in the case where the current network has been deployed relatively densely, the interference between cells severely limits the gain obtained through cell splitting technology, and due to the high cost of high-power nodes, this further makes the method of cell splitting unfeasible

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