Wireless network multidimensional resource allocation method

Abstract

The invention provides a heterogeneous wireless network resource allocation method based on a Lagrange multiplier. The method aims to maximizing the total effect of all users in all cells of a heterogeneous wireless network, and uses a requirement that the total transmitting power of the cells is less than or equal to a permissible maximum transmitting power and the user transmission rate in the cells is greater than or equal to a set minimum rate as a constraint condition. The method comprises steps of: for a cell i, determining a set Lagrange multiplier [beta] corresponding to the transmitting power, and Lagrange multipliers [phi] ={[phi]1, [phi]2,..[phi]ki}corresponding to each transmission rate of all Ki users in the cell i, and according to the [beta] and the [phi] and for each resource block, determining the optimum user k* of the cells with the resource block n required to be allocated; according to the Lagrange multiplier [beta] and the [phi], determining the transmitting power of the users, with no allocated resource blocks, in the cells, and determining the transmitting power pk, n of each user k with any allocated resource block n in the cells.

Description

technical field [0001] The present invention relates to wireless communication, in particular to resource allocation of wireless network. Background technique [0002] With the rapid development of mobile communication technology and multimedia services, data traffic in mobile communication networks increases exponentially. In order to meet the requirements of wireless service data traffic, cell base stations need to be densely deployed in future wireless networks. In addition, since a large amount of mobile data traffic occurs in local hotspots or indoor areas, the deployment of low-power cells has become a trend in the future development of wireless networks. However, in order to improve the utilization of spectrum resources, in a heterogeneous wireless network where cells are densely deployed, serious interference will occur between cells, resulting in deterioration of user signal quality and even failing to meet basic user received signal strength requirements. In addi...

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Problems solved by technology

[0006] However, the above method of resource allocation to solve the interference problem between multiple cells ignores the user's refined business service quality requirements in terms of speed and delay.

In addition, these methods reduce interference through single-dimensional resource allocation, the resource utilization rate is not high, and the gain of system performance is also limited, so they are only applicable to the case of low business traffic demand

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