Heterogeneous energy-carrying communication network resource allocation method based on non-orthogonal multiple access

Abstract

The invention relates to the technical field of heterogeneous wireless communication, in particular to a heterogeneous energy-carrying communication network resource allocation method based on non-orthogonal multiple access. The method comprises the following steps: in a heterogeneous energy-carrying communication network, a macro base station providing data service for a macro cellular user and amicro cellular base station, and the micro cellular base station sending data through a non-orthogonal multiple access technology to provide data service for the micro cellular user; analyzing transmission and interference characteristics of a base station and a user in the current system, and constructing a maximum energy efficiency optimization problem meeting corresponding constraints; carrying out channel uncertainty modeling by adopting a worst criterion method, and respectively controlling a robust power distribution method and a time switching method; converting the model into a deterministic convex optimization model by adopting a Dinkelbach method and a continuous convex approximation method; and solving an optimal power distribution parameter and a time switching factor by utilizing a Lagrange duality principle and a KKT condition, and carrying out resource distribution. The method has certain robustness, and can effectively reduce the outage probability of a user.

Description

technical field [0001] The present invention relates to the technical field of heterogeneous wireless communication, in particular to a non-orthogonal multiple access-based heterogeneous energy-carrying communication network resource allocation method, which belongs to green communication. Background technique [0002] With the development of mobile communication technology, the transmission rate and spectrum resource requirements of various wireless terminals and Internet of Things devices have become one of the key models to be considered in the 5th generation mobile communication system. In this context, the huge energy consumption and the increasingly scarce spectrum resource model become particularly serious. Therefore, the 5G communication system needs a model that takes into account both high transmission rate and low energy consumption. [0003] Simultaneous Wireless Information and Power Transfer (SWIPT) is considered to be an effective technology to solve the ener...

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Problems solved by technology

[0004] Some existing studies on NOMA energy carrying have not considered the scenario of multi-user resource allocation, or ignored the energy efficiency model in resource optimization, and most of the studies are based on the assumption of perfect channel conditions, which may be in actual scenarios. Causes communication interruption and cannot meet the actual needs. Therefore, this solution needs to be further improved to improve the energy efficiency of the system

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