A network slicing dynamic joint user association and power allocation method based on NOMA

Abstract

The invention relates to a network slice dynamic joint user association and power distribution method based on NOMA, belonging to the mobile communication field. Under the condition of imperfect downlink channel of NOMA system, the wideband SINR between slice user and RRH is obtained according to the channel state information, and judges the strategy of user and RRH association. According to the user queue state information and the channel state information, the power of a plurality of users in the network slice is multiplexed on the same RB within the maximum number of multiplexed users of the resource block RB, and the optimal power resources are allocated to each user under the premise of satisfying the minimum rate requirements of each slice and user, user delay requirements, system outage probability constraints and forward link capacity constraints. The invention not only improves the utilization rate of spectrum resources and the throughput of the network, but also satisfies thelowest speed requirement of the slice and the user and the time delay requirement of the user.

Description

technical field [0001] The invention belongs to the field of mobile communication, and relates to a NOMA-based network slice dynamic joint user association and power allocation method. Background technique [0002] One of the expectations of 5G networks is to meet the quality of service (QoS) requirements of different users. However, with the rapid development of the communication industry, the scale of communication services continues to expand, and the differences in user needs are increasing. Limited spectrum resources It is also becoming increasingly scarce. Therefore, a network slicing technology that utilizes network virtualization technology to realize resource sharing emerges in due course. As a key technology of 5G, the essence of network slicing is a flexible and independent virtual logical network. Its function is to provide specific services for users with differentiated QoS requirements in different application scenarios. In wireless resource allocation based ...

AI Technical Summary

Problems solved by technology

[0005] Most of the existing research does not apply NOMA technology to the C-RAN architecture in the resource allocation based on network slicing. The wireless resources focus on the resources in the time domain and frequency domain, and do not make full use of the resources in the power domain. However, the actual In applications, the use of power resource multiplexing can increase the total throughput of the system and improve the utilization of spectrum resources; most studies assume that the system can obtain perfect channel state information, but in actual networks, it is difficult for the base station to obtain a perfect D channel State information (Channel State Information, CSI); does not consider the diversity of slice business requirements; most optimization goals do not involve time variables, nor do they consider long-term average optimization goals

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