A Covariance Matrix Estimation Method for Distributed Antenna Systems
A covariance matrix and distributed antenna technology, applied in the field of mobile communications, can solve the problems of low channel estimation accuracy and the unknown covariance matrix, etc., and achieve the effect of low computational complexity and elimination of interference and noise
Active Publication Date: 2022-04-22
SOUTHEAST UNIV
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[0004] Technical problem: The present invention aims at the channel estimation problem of the distributed antenna system under the condition of unknown covariance matrix, and proposes a method for distributed antenna system under the condition of unknown covariance by changing the training pilot to eliminate interference and noise Covariance matrix estimation method to solve the problem that the existing technology does not consider the unknown covariance matrix, resulting in low accuracy of channel estimation in reality
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[0061] Below in conjunction with example, the present invention is described in detail:
[0062] Suppose a non-cellular massive MIMO system adopts time division duplex (TDD) mode, there are M=5 APs, and each AP has N=50 antennas. There are K=10 users in this area. It is assumed that these users are equipped with a single antenna and are distributed independently. At the same time, a pilot multiplexing scheme is adopted to improve the utilization rate of pilot resources. The channel model consists of three parts: path loss, shadow fading and small-scale fading, which can be expressed as in, Let the path fading factor α=3.7, the reference distance is 1, s m,k For shadow fading variables satisfying exponential normal distribution, h m,k Represents small-scale fading, whose elements obey the standard Rayleigh distribution Thus the uplink channel g from user k to all APs k satisfy Right now The transmit power of each user is ρ=1W, and the noise σ 2 =-63dBm. K users se...
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The invention relates to a method for estimating a covariance matrix for a distributed antenna system. The method aims at the channel estimation problem of a large-scale MIMO system without a cell under the condition that the covariance matrix is unknown, and proposes a method for eliminating interference by changing training pilots and Accurate channel estimation under the condition of unknown covariance is obtained by noise, so as to solve the problem that the prior art does not consider the unknown covariance matrix, resulting in low accuracy of channel estimation in reality. In addition, according to the estimated channel information, the large-scale matrix theory is used to calculate the system spectrum efficiency and analyze the system performance. The method proposed in the present invention does not add additional pilots, but uses the special structure of the transmitted pilots to effectively eliminate interference and noise, and the calculation complexity is not high, and is applicable to various wireless communication systems. In addition, using the random matrix theory, the System performance evaluation can be extended to various occasions and has certain value.
Description
technical field [0001] The invention relates to a method for estimating a covariance matrix used in a distributed antenna system, belonging to the technical field of mobile communication. Background technique [0002] With the rapid development of the mobile Internet, the requirements for high system throughput, low latency, ultra-reliability and near-instant connectivity are increasing, requiring more innovative technologies to pave the way for the development of post-5G and 6G technologies. Cell-free distributed massive MIMO (multi-input multi-output) is an innovative scalable network MIMO. A large number of APs distributed in an area serve all users in the same time-frequency resource. Cell-free distributed massive MIMO can get all the advantages of massive MIMO (beneficial to propagation and channel strengthening when using multiple antennas at the AP) and network MIMO (increased macro-diversity gain), therefore, it has very high spectral efficiency, energy efficiency a...
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IPC IPC(8): H04L25/02H04B7/0413
CPCH04L25/0226H04L25/0242H04L25/025H04B7/0413
Inventor 李佳珉叶枫朱鹏程王东明尤肖虎
Owner SOUTHEAST UNIV