Low-overhead topological interference alignment and power optimization method, system, equipment and application

Abstract

The invention belongs to the technical field of a hybrid communication network formed by D2D users and cellular users, and discloses a low-overhead topological interference alignment and power optimization method, system, equipment and application. The method comprises the following steps: firstly, carrying out singular value decomposition on a D2D and cellular hybrid communication MIMO channel toobtain a plurality of parallel single-input single-output (SISO) channels equivalent to the D2D and cellular hybrid communication MIMO channel; deriving topological interference alignment to obtain amaximum degree-of-freedom condition, proposing an interference influence factor-based topological matrix composition algorithm capable of guaranteeing the maximum degree of freedom, and performing topological interference alignment to eliminate partial interference; and finally, performing iterative power optimization based on Taylor expansion on residual interference to carry out suppression. According to the method, the system can effectively suppress interference on the premise of obtaining the maximum degree of freedom, feedback overhead in the network is effectively reduced on the premise of only sacrificing extremely low throughput, and the method is low in complexity, easy to implement and suitable for actual system application.

Description

technical field [0001] The invention belongs to the technical field of a hybrid communication network composed of a terminal directly connected to a D2D user and a cellular user, and in particular relates to a low-overhead topology interference alignment and power optimization method, system, device and application. Background technique [0002] At present: the current research on resource and interference management of D2D and cellular hybrid networks is mostly carried out under the assumption that the sender knows all the CSIT. However, to obtain all the CSIT at the sending end, a large amount of information feedback is required, which is unrealistic in practice. Cao P, Zappone A, and Jorswieck E A. published the paper "Grouping-based interference alignment with IA-cell assignment in multi-cell MIMO MAC underlimited feedback", and proposed that the implementation of interference alignment technology requires closed-loop transmission, which further increases the interferenc...

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Problems solved by technology

However, this document does not give a specific implementation method of topological interference alignment. When it is applied to D2D and cellular hybrid networks, there are still two problems to be solved: one is how to construct the topology structure of multi-user heterogeneous MIMO networks, and Realize topological interference alignment that can obtain the maximum degree of freedom; the second is how to effectively manage residual interference

The existing resource and interference management methods for D2D and cellular hybrid networks have their own advantages and disadvantages: the traditional interference alignment technology has a large feedback overhead, and the system has a heavy computational burden; the limited feedback interference alignment technology based on quantization will make the interference alignment imperfect and suffer The number of feedback bits has a great influence; the topology interference alignment technology can effectively eliminate the interference in the network, and at the same time effectively reduce the feedback overhead, but the existing literature does not give a specific implementation method

[0006] The difficulty in solving the above problems and defects is: topological interference alignment can achieve alignment and elimination of interference with the least feedback overhead. However, the existing methods are mainly used in single-input single-output SISO channels. There is a correlation between the channels, and the channel characteristics are very different from those of SISO, so it is difficult to directly apply the conclusion of the topology matrix construction in the SISO channel; in addition, for a heterogeneous MIMO communication system composed of any number of users, due to the number of users and the number of antennas It can be changed arbitrarily, and the size and number of alignment sets are difficult to determine, which makes it difficult to construct a topological matrix

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