A Robust Resource Allocation Method Based on User Outage Probability in Two-Layer Heterogeneous Wireless Networks

Abstract

The invention discloses a robust resource distribution method based on user outage probability in a two-layered heterogeneous wireless network. The robust resource distribution method has the advantages of guaranteeing QoS of Femtocell users and macrocell users while solving the optimizing problems of outage probability restriction disturbed by joint optimization and outage probability restrictioncondition by data rate, and maximizing general transmission rate of the Femtocell users through controlling the emitting power of the Femtocell users. In order to overcome influence of channel uncertainty on transmission of a communication system, the original random restriction and mixed integer optimization are transformed to be a solvable convex optimization problem on the basis of robust optimization and uncertainty parameter statistical model. Compared with a traditional resource allocation algorithm, the robust resource distribution under an imperfect channel information state is considered. The robust resource distribution method has the advantages of being good in robustness, strong in robustness and others, and is capable of well protecting service quality of Femtocell users andmacrocell users, improving the system stability, and reducing the user outage probability.

Description

technical field [0001] The invention relates to the technical field of resource allocation in heterogeneous wireless networks, in particular to a robust resource allocation method based on user interruption probability in a two-layer heterogeneous wireless network. Background technique [0002] In recent years, the technology of embedding femtocells into macrocells can well enhance the coverage of traditional cellular networks, improve system capacity and meet the high data rate requirements in indoor wireless environments. However, when multiple types of base stations are deployed simultaneously in a heterogeneous wireless network, overlapping coverage areas of different base stations will inevitably occur, which will cause cross-layer interference and intra-layer interference management problems. Therefore, it is a great challenge to realize resource sharing between two layers of heterogeneous wireless networks. An effective resource allocation algorithm is considered to ...

AI Technical Summary

Problems solved by technology

Imperfect channel state information may lead to performance degradation of resource allocation algorithms. Therefore, robust resource allocation algorithms for heterogeneous wireless networks pose new challenges for the realization of multi-layer network resource sharing and the practical engineering application of resource allocation algorithms.

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