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Downlink blind channel estimation method for cellular-removed large-scale MIMO (Multiple Input Multiple Output) system

A downlink and channel estimation technology, which is applied in the field of downlink blind channel estimation, can solve problems such as gain deviation and poor performance, and achieve the best effect of channel estimation methods

Active Publication Date: 2022-06-24
NANJING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, for a small or moderate number of antennas, the gain may still deviate significantly from its average
Furthermore, in propagation environments where the channel is not hardened, using the average value of the effective gain instead of its true value may lead to poor performance even with a large number of antennas

Method used

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  • Downlink blind channel estimation method for cellular-removed large-scale MIMO (Multiple Input Multiple Output) system
  • Downlink blind channel estimation method for cellular-removed large-scale MIMO (Multiple Input Multiple Output) system
  • Downlink blind channel estimation method for cellular-removed large-scale MIMO (Multiple Input Multiple Output) system

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Embodiment Construction

[0049] The following examples may enable those skilled in the art to more fully understand the present invention, but do not limit the present invention in any way.

[0050] see figure 2 , this embodiment proposes a downlink blind channel estimation method for a decellularized massive MIMO system, and the estimation method includes the following steps:

[0051] S1, establish a system model for decellularized massive MIMO; such as figure 1 As shown, the system model of the decellularized massive MIMO contains M APs and K users, all APs and users are equipped with a single antenna and are randomly distributed in a large area; all users are connected to the Central processing unit; all M APs serve all K users in the same resource at the same time, and both uplink and downlink transmissions are performed through TDD operations.

[0052] S2, for uplink training, all users synchronously send their own pilot sequences to all APs, each AP estimates the channel once in each coherenc...

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Abstract

The invention discloses a downlink blind channel estimation method for a cellular-removed large-scale MIMO (Multiple Input Multiple Output) system. The method comprises the following steps: establishing a cellular-removed large-scale MIMO system model; the uplink is trained, all users send own pilot frequency sequences to all the APs synchronously, and each AP estimates a channel once in each coherence interval; analyzing a downlink data transmission stage, and defining an effective channel gain; deducing the effective channel gain of the downlink channel according to the asymptotic property of the data received during the coherence interval; and the blind estimation of the downlink channel is summarized. According to the invention, the downlink effective gain of the decellular large-scale MIMO can be estimated by using fewer resources.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a downlink blind channel estimation method for a decellularized massive MIMO system. Background technique [0002] With the rapid development of the mobile Internet, mobile broadband users have shown explosive growth. However, due to multiple constraints such as energy, spectrum, and cost, the current commercial mobile communication systems cannot meet the needs of future Internet users' ultra-large traffic, ultra-low latency and ultra-high reliability. The communication system has become the focus of the research of various communication powers. With the freezing of Release 15, the first-phase standard of 5G in 3GPP, countries around the world have started the design and research and development of 6G technology concepts one after another while promoting the commercial deployment of 5G. my country has started the design and development of 6G-related ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/0413H04L25/02
CPCH04B7/0413H04L25/0202H04L25/0242Y02D30/70
Inventor 杨龙祥姚文熙
Owner NANJING UNIV OF POSTS & TELECOMM