A Millimeter Wave Beam Alignment Method Based on Sparse Coding

Abstract

The invention belongs to the technical field of millimeter wave communication, and in particular relates to a method for aligning millimeter wave beams based on sparse coding. First, by rationally designing the transmit precoding matrix at the transmitting end and the receiving precoding matrix at the receiving end, multiple beams are formed at the transmitting end and the receiving end at the same time, and then individual link data is selected. In this way, the beam alignment problem is transformed into a sparse coding and decoding problem. In the second step, the measurement matrix is ​​divided into two parts and designed separately, which are the sparse graph design and the recognition matrix design, and the minimum number of graph rows is defined through the derived theoretical lower limit table. The experimental results show that the proposed algorithm is not only simpler and easier to implement than the traditional compressive sensing-based method, but also proves that the proposed method is superior to the traditional sparse coding-based beam alignment method and has Lupine performance for different antenna numbers .

Description

technical field [0001] The invention belongs to the technical field of millimeter wave communication, in particular a method for aligning millimeter wave beams based on sparse coding. Background technique [0002] With the development of ultra-high-definition video transmission, intelligent vehicle communication and virtual reality technology in the future, the capacity of the global mobile communication system will usher in a huge demand. The future demand for data transmission rates may be 1000 times the capacity of existing systems. Millimeter wave communication technology is regarded as a key technology for future wireless networks to meet future high-speed requirements due to its ability to utilize larger communication bandwidths to generate greater transmission rates. For example, in the latest 802 / 11ay standard of IEEE, the 60GHz communication technology can already provide a transmission rate up to 20Gbps. However, communication in the mmWave frequency band has inh...

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Problems solved by technology

[0003] However, as the number of antennas increases, it will be more difficult to obtain millimeter-wave channel information. Therefore, a large number of recent literatures use the sparsity of millimeter-wave channels and combine compressed sensing technology (CS) to estimate Massive MIMO channels.

However, these related technologies all increase the computational complexity in the operation of the algorithm due to the large matrix inversion operation in the calculation process

In order to reduce the computational complexity and reduce the difficulty of hardware implementation, the existing protocols mostly utilize the narrow nature of millimeter wave beams to implement beam scanning or layered scanning. However, the disadvantage of these algorithms is that they either require a longer Scan time either requires setting up a proper feedback link or reducing the gain for the first beam scan

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