A resource allocation method under a downlink MIMO-NOMA network

Abstract

The invention discloses a resource allocation method under a downlink MIMO-NOMA network. According to the resource allocation method under the, user clustering is carried out on the basis of channel state information analysis of users, and following MIMO-NOMis carried out; multi-dimensional resource allocation research under the NOMA network is taken as a main line, multi-dimensional resources such as space, frequency spectrum and power are comprehensively considered, the network performance is measured with effective capacity, and downlink MIMO-NOM is established. According to the multi-dimensional resource allocation model under the NOMA network, the optimal multi-dimensional resource allocation is quickly realized by utilizing the convergent and low-complexity characteristics of the alternating iteration optimization theory. According to the method, the characteristics of beam directivity, service diversity and the like are fully considered, the directivity of beams is met through user clustering, the service diversity is met through effective capacity, and downlink MIMO-NOM is achieved. And carrying out multi-dimensional resource allocation under the NOMA network.

Description

technical field [0001] The invention relates to a multi-dimensional resource allocation method based on user clustering in a downlink MIMO-NOMA network, and belongs to the technical field of network resource allocation. Background technique [0002] 5G is a new generation of mobile communication system oriented to the development of mobile communication needs after 2020. According to the development law of mobile communication, 5G needs to have higher spectrum efficiency and network capacity to meet the exponential growth of user needs. Non-orthogonal multiple access (NOMA), as an alternative multiple access technology for 5G, can effectively improve spectrum efficiency. Different from the traditional Orthogonal multiple access (OMA), NOMA enables multiple users to share the same time-frequency resource through power domain multiplexing, and adopts the serial interference cancellation technology (Successive interference cancellation, SIC) at the receiving end. ) is decoded ...

AI Technical Summary

Problems solved by technology

However, resources in MIMO-NOMA networks include multi-dimensional resources such as space, spectrum and power, and resource allocation is facing severe challenges.

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