Resource allocation method and device based on wireless energy-carrying communication

Abstract

The invention provides a resource allocation method and device based on wireless energy-carrying communication, which maximize the energy efficiency of a system, and comprises the following steps: S1,designing codebook-based analog precoding according to a full connection and sub-connection structure; S2, constructing a joint digital multicast, unicast precoding and power splitting rate optimization problem; S3, converting the fractional objective function into a subtractive objective function, and proposing a double-loop iterative algorithm to solve the fractional objective function; and S4,in the outer ring, solving T(q) by adopting a classical double-section iterative algorithm, converting the proposed problem into a convex problem by adopting a low-complexity iterative algorithm based on a ZF technology in the inner ring, and proposing an iterative algorithm to solve the convex problem. The invention provides a resource allocation method and device based on wireless energy-carrying communication by combining multicast unicast wave millimeter waves with SWIPT. Millimeter waves are filled with more antennas with smaller physical sizes; the SWIPT interference power is convertedinto the energy of the receiving end, so that the energy efficiency is improved; a hybrid precoding scheme is adopted, and the number of RF chains is far less than the number of antennas.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a resource allocation method and device based on wireless portable energy communication. Background technique [0002] Millimeter wave (30-300GHZ) has a wider bandwidth and is considered to be a promising technology to meet the exponential growth requirements of data traffic in future wireless communications. Furthermore, due to the shorter wavelengths of the mmWave band, more antennas can be filled with smaller physical sizes, resulting in a giant multiple-input multiple-output (mMIMO) mmWave system. However, when full digital signal processing is employed, the use of a large number of antennas results in significant energy consumption and hardware costs since each antenna requires a dedicated radio frequency (RF) chain. To solve this problem, an analog / digital hybrid precoding scheme can be used, where the number of required RF chains will be much smaller than t...

AI Technical Summary

Problems solved by technology

However, when using all-digital signal processing, the use of a large number of antennas results in huge energy consumption and hardware costs since each antenna requires a dedicated radio frequency (RF) chain

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