Resource allocation method integrating noma and d2d communication in heterogeneous network

Abstract

The invention relates to the technical field of communication resource allocation, and provides a resource allocation method integrating NOMA and D2D communication in a heterogeneous network. First construct an optimization model that satisfies the maximum sum of D2D communication rates without affecting the normal communication conditions of the CUE; then conduct preliminary optimization based on the differential evolution algorithm: initialize channel allocation, power allocation, and calculate the individual fitness value in the current group. Perform power restoration for negative individuals and recalculate the fitness value, construct a new group and compare the fitness of the new group with the original group, and retain individuals with strong fitness; finally, perform approximation transformation on the optimization model, and obtain The optimal channel allocation, D2D power allocation, combined with the initial optimal CUE power allocation, optimize the power allocation based on the successive convex approximation algorithm. The invention considers the optimal SIC decoding sequence, can effectively improve network performance and resource utilization efficiency, and has simple calculation and high efficiency.

Description

technical field [0001] The present invention relates to the technical field of communication resource allocation, in particular to a resource allocation method integrating NOMA and D2D communication in a heterogeneous network. Background technique [0002] The rapid development of mobile communication networks and the rapid increase of mobile communication services have brought enormous challenges to existing wireless resources. In order to reduce the access pressure of hotspot areas in the traditional single-cell coverage, the flat deployment method of the traditional single base station is developing in the direction of multi-level heterogeneity. This multi-level heterogeneous network includes not only traditional macro base stations, but also a large number of micro base stations, pico base stations and other access nodes within its coverage. These access nodes use the same communication channels as macro cell base stations, thus effectively The utilization rate of spect...

AI Technical Summary

Problems solved by technology

However, when D2D communication is introduced, the communication and multi-level cellular network architecture will cause the SIC relationship between CUEs to be interfered by D2D communication and users associated with other base stations in the network at the same time, and cannot be simply judged by the transmission distance from the base station. How to choose the appropriate SIC relationship for the NOMA communication group has become a difficult research issue

[0005] The existing resource allocation methods that integrate NOMA and D2D communication are computationally complex and inefficient, and do not consider the optimal SIC decoding order, resulting in low performance of the optimized network and low utilization of optimized network resources.

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