Energy-efficient spectrum reuse and base station sleep combined method

Abstract

The present invention provides an energy-efficient spectrum reuse and base station sleep combined method, used for solving the problems that only a single PSR (Partial Spectrum Reuse) or BSS (Base Station Sleep) strategy is adopted for improving energy efficiency of a heterogeneous network in the prior art, and neither of the methods can greatly improve the energy efficiency of the heterogeneous network. The energy-efficient spectrum reuse and base station sleep combined method provided by the present invention comprises the steps of: determining a spectrum reuse factor beta of a micro base station layer achieving the minimal energy loss of the whole system; and determining an optimal active probability ratio Gamma of a macro base station layer and the micro base station layer simultaneously achieving the maximum coverage probability of the macro base station layer and the micro base station layer according to the spectrum reuse factor beta of the micro base station layer. According to the energy-efficient spectrum reuse and base station sleep combined method of the present invention, the PSR coefficient beta is optimized, and the active probability ratio of a macro base station and a micro base station is combined with the PSR coefficient beta, so that the coverage probability and the energy efficiency of the macro base station layer and the micro base station layer can achieve maximization under a given SINR threshold condition.

Description

technical field [0001] In the field of communication, the present invention particularly refers to an energy-efficient combined method of spectrum sharing and base station dormancy. Background technique [0002] As users' demand for transmission data rate increases, traditional communication networks have been unable to provide seamless coverage and rapidly increasing throughput. Two-layer heterogeneous network, that is, the coexistence of macro cells and micro cells, has become one of the potential technologies to solve the above problems. In heterogeneous networks (Heterogeneous Networks, HetNets), micro cells are composed of devices with low power consumption, which can help traditional macro cells to increase the capacity of the network, thereby improving energy efficiency. [0003] Nevertheless, the energy loss problem is still an important issue in the future research of heterogeneous networks. How to use the limited wireless spectrum to solve the problem of energy e...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the problem that the existing spectrum sharing or base station dormancy strategy can only optimize the wireless resources of the two-layer heterogeneous network from one aspect, the present invention provides an energy-efficient joint method of spectrum sharing and base station dormancy, which combines Based on the advantages of the two technologies of partial spectrum reuse and

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