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Energy-efficient large-scale MIMO (Multiple Input Multiple Output) beam forming method using statistical channel state information

A channel state information, large-scale technology, applied in the transmission system, energy consumption reduction, advanced technology, etc., can solve the problems of sacrificing spectrum efficiency, high power update frequency, and computational complexity limiting applications

Active Publication Date: 2016-01-06
上海瀚芯实业发展合伙企业(有限合伙)
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  • Application Information

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Problems solved by technology

[0003] In order to balance the system capacity and energy consumption, the existing technology proposes to optimize the energy efficiency (that is, the ratio of the system weight sum rate to the total power consumption), for example, a multi-user MIMO energy-efficient beamforming using the duality of the uplink and downlink design, with the disadvantage of sacrificing spectral efficiency
If the existing technology is used to design massive MIMO energy-efficient beamforming schemes, the computational complexity of a power update is large and the power update frequency is too high, and its computational complexity limits the application of existing technologies in massive MIMO systems

Method used

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  • Energy-efficient large-scale MIMO (Multiple Input Multiple Output) beam forming method using statistical channel state information
  • Energy-efficient large-scale MIMO (Multiple Input Multiple Output) beam forming method using statistical channel state information
  • Energy-efficient large-scale MIMO (Multiple Input Multiple Output) beam forming method using statistical channel state information

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Embodiment approach

[0045] The specific feasible implementation method includes the following steps:

[0046] According to the power consumption factor α of the current outer layer iteration (n) Initialize virtual uplink power allocation vector q (m) , where m represents the number of iterations in the inner layer, and the initial value m=0;

[0047] According to the virtual uplink power allocation vector q of the current inner layer iteration (m) calculate

[0048] e k = 1 N T r ( Θ k T ) , T = ( 1 N Σ n = 1 K q ...

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Abstract

The invention discloses an energy-efficient large-scale MIMO (Multiple Input Multiple Output) beam forming method using statistical channel state information. The method comprises the following steps: firstly, using the statistical channel state information to process an optimization problem of power distribution of a virtual up link, and using the duality of a down link and the up link to process a conversion problem of power distribution of the down link and the up link, so as to obtain an optimized power distribution vector of the down link; secondly, using instantaneous channel state information to calculate a beam forming vector of the down link, so as to obtain an optimized beam forming vector of the down link. The energy-efficient large-scale MIMO beam forming method using the statistical channel state information provided by the invention can avoid a too high power update frequency and reduce the computation complexity. At the same time, the energy efficiency of a system is close to that of the system using the instantaneous channel state information method in the prior art, so that the method proposed by the invention can effectively balance the system energy efficiency performance and the computation complexity.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to large-scale multiple-input multiple-output (multiple-inputmultiple-output, MIMO) energy-efficient transmission technology. Background technique [0002] In recent years, with the popularity of smartphones and the rapid development of mobile broadband, wireless data traffic has shown explosive growth. In order to meet the needs of users, operators will take measures such as increasing base station deployment and antenna configuration, which will lead to a sharp increase in energy consumption. How to balance system capacity and energy consumption has become the research focus of wireless communication technology. [0003] In order to balance the system capacity and energy consumption, the existing technology proposes to optimize the energy efficiency (that is, the ratio of the system weight sum rate to the total power consumption), for example, a multi-user M...

Claims

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Application Information

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IPC IPC(8): H04B7/04H04B7/06
CPCH04B7/0413H04B7/0617H04B7/0626Y02D30/70
Inventor 黄永明陆莹何世文傅友华杨绿溪
Owner 上海瀚芯实业发展合伙企业(有限合伙)