Resource allocation method for heterogeneous energy-carrying communication network based on non-orthogonal multiple access

Abstract

The present invention relates to the technical field of heterogeneous wireless communication, and is a non-orthogonal multiple access-based resource allocation method for a heterogeneous energy-carrying communication network; the method is included in a heterogeneous energy-carrying communication network, and a macro base station is a macro cell Users and micro-cell base stations provide data services, and micro-cell base stations send data through non-orthogonal multiple access technology to provide data services for micro-cell users; analyze the transmission and interference characteristics of base stations and users in the current system, and construct the largest network that satisfies the corresponding constraints. The energy efficiency optimization problem is optimized; the worst criterion method is used to model channel uncertainty, and the robust power allocation and time switching methods are respectively controlled; Dinkelbach and continuous convex approximation methods are used to convert it into a deterministic convex optimization model; Lagrangian duality principle and KKT conditions are used to obtain the optimal power allocation parameters and time switching factors and perform resource allocation. The invention has a certain robust performance and can effectively reduce the interruption probability of users.

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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