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A method and device for determining the number of antennas

A technology for determining the method and number of antennas, applied in diversity/multi-antenna systems, wireless communication, radio transmission systems, etc., and can solve problems such as high complexity, unfavorable for the actual deployment of massive MIMO systems, and increased power consumption of base station systems.

Active Publication Date: 2018-06-29
BEIJING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Since this method of determining the number of antennas is based on a fixed power consumption model, no matter what the detection algorithm used by the base station receiver is, it uses a power consumption model to solve the calculation, and does not consider the different detection algorithms in practical applications. Hardware power consumption. After the number of antennas obtained by this method is used for antenna configuration, the power consumption of the base station system will increase.
Moreover, when calculating the number of antennas based on the traditional power consumption model, two parameters based on the number of base station antennas and the rate are used to search, which has high complexity and is not conducive to the actual deployment of massive MIMO systems.

Method used

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  • A method and device for determining the number of antennas
  • A method and device for determining the number of antennas

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Embodiment 1

[0073] This embodiment discloses a method for determining the number of antennas, such as figure 1 As shown, applied to the base station, including the following steps:

[0074] S110. Identify a detection algorithm adopted by the receiver.

[0075] In an uplink multiple access massive MIMO system, the detection algorithm adopted by the base station receiver may include a Maximum Ratio Combining (Maximum Ratio Combining, MRC) detection algorithm and a ZF detection algorithm.

[0076] S120. Obtain corresponding system parameters according to the adopted detection algorithm.

[0077] Specifically, according to the detection algorithm adopted, the specific value of the corresponding system parameter when the base station system applies the detection algorithm is obtained. Specific system parameters may include the expected number of service users in the base station system, the number of antennas required by the base station, the large-scale fading coefficient of the base statio...

Embodiment 2

[0081] Further, as a preferred solution of the first embodiment, this embodiment is a method for constructing an energy efficiency model related to uplink rate and power.

[0082] Energy efficiency is the ratio of the uplink rate of the base station to the power of the base station, that is, the uplink rate within a unit of power. The larger the energy efficiency value, the faster the uplink rate.

[0083] The process of constructing an energy efficiency model related to uplink rate and power is as follows: figure 2 shown, including the following steps:

[0084] S210. Determine the expected number K of service users in the coverage area of ​​the base station and the required number N of antennas, where N≥K+1.

[0085] S220. Determine the uplink transmission power p of a single user according to the channel large-scale fading coefficient β in the coverage area of ​​the base station.

[0086] Specifically, the channel large-scale fading coefficient β in this area can be deter...

Embodiment 3

[0096] Further, as a preferred solution of the first embodiment, this embodiment is different from the first embodiment in that an optimization algorithm is used to determine the number of antennas.

[0097] Specifically, according to the detection algorithm adopted, the corresponding energy efficiency model is selected, the specific values ​​of the obtained system parameters are substituted into the selected energy efficiency model, and the selected energy efficiency model is solved to obtain the final number of antennas.

[0098] An optimization algorithm can be used to optimize the selected energy efficiency model, so that the number of antennas can be determined on the basis of maximum energy efficiency, and then the antenna configuration can be performed with the determined number of antennas, which can reduce system power consumption and increase the uplink rate.

[0099]According to the power parameters and the pre-built energy efficiency model related to the uplink rate...

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Abstract

The embodiment of the invention discloses an antenna number determining method and device applied to a base station. The antenna number determining method comprises the steps that a detecting algorithm adopted by a receiver is identified; system parameters corresponding to the receiver are obtained according to the adopted detecting algorithm; the antenna number is determined according to the system parameters and a pre-established energy efficiency model selected according to the adopted detecting algorithm and relevant with uplink rate and power. The antenna number is obtained by applying the antenna number determining method and utilizing different energy efficiency models for different detecting algorithms, so that the power consumption of a base station system is reduced after antenna configuration is performed by adopting the determined antenna number, and the computation complexity is reduced in the antenna number determining process without multiple times of comparison and searching.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to a method and device for determining the number of antennas. Background technique [0002] With the continuous improvement of people's demand for wireless network data volume, future mobile communication systems are required to provide a wide range of network services including real-time streaming media services, and support high-speed multimedia services, which will be affected by system power, bandwidth and Restricted by factors such as technical algorithm complexity. Therefore, the communication technology with high transmission rate and high throughput will be one of the focuses of future research in the field of wireless communication. [0003] Among them, the large-scale antenna array multiple-input multiple-output (Multiple-Input Multiple-Output, MIMO) technology is considered to be one of the next-generation key technologies after 4G wireless commun...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B17/10H04B17/20H04B7/0413H04B7/08H04W52/02
CPCH04B7/0413H04B7/0857H04B17/101H04B17/20H04W52/0206Y02D30/70
Inventor 李立华田辉薛冠卢光延张平
Owner BEIJING UNIV OF POSTS & TELECOMM
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