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Method for allocating low-bit feedback user frequencies of MIMO

An allocation method and user technology, applied in power management, wireless communication, electrical components, etc., can solve the problem of high complexity of user collection, achieve the effects of reducing feedback overhead, ensuring flexibility, and reducing the amount of information

Inactive Publication Date: 2012-07-04
HUAZHONG UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This will bring a lot of feedback overhead to the user, and due to the large number of users, the complexity of the base station to select the user set is very high

Method used

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  • Method for allocating low-bit feedback user frequencies of MIMO
  • Method for allocating low-bit feedback user frequencies of MIMO
  • Method for allocating low-bit feedback user frequencies of MIMO

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Embodiment Construction

[0022] The present invention will be further described in detail below in conjunction with specific implementation examples.

[0023] This implementation example adopts a downlink multi-user MIMO system with K=20 users. The base station configures M=12 antennas, and the user configures 3 to 5 antennas. Assuming that after precoding processing, the user antenna will be decomposed into independent sub-channels, and each sub-channel obeys the chi-square distribution.

[0024] (1) Each user determines the set of antenna numbers:

[0025] Taking the user with 4 antennas as an example, define the four antenna numbers as 1, 2, 3, and 4, among which 1 means that the priority of antenna power allocation is the lowest, 2 is higher than 1, 3 is higher than 2, and 4 has the highest priority . User antenna arrangement set A user ={a 1 , a 2 ,...,a 48}, a 1 = (1, 2, 3, 4), a 2 =(1, 2, 4, 3), ..., the i-th arrangement a i The jth element of is the number of the jth antenna, i=1, 2....

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Abstract

The invention discloses a method for allocating low-bit feedback user frequencies of MIMO, which comprises the following steps of: firstly, defining serial numbers embodying power allocation priority for user antennae, and acquiring all serial number arrangements of all the antennae through permutation and combination; secondly, sending test signals by a base station, giving a serial number to each antenna by a user according to a rule that the greater the signal-to-noise ratio is the higher the priority is, feeding serial number information and the maximum value and the minimum value of the signal-to-noise ratio back to the base station, calculating the mean value of the signal-to-noise ratio by the base station, and selecting a user according to the mean value to perform power allocation for the first time; and finally, performing the power allocation on each antenna for the second time by the base station according to the fed back serial number information and a rule that the higher the priority of the serial number of the antenna is the higher the allocated power of the antenna is. The method overcomes the defect that the conventional user subchannel estimation needs oversize feedback information quantity, can effectively estimate the basic states of all the subchannels of the user under the condition of decreasing the feedback information quantity to perform reasonable user power allocation, improves the transmission performance, and increases the data transmission throughput.

Description

technical field [0001] The invention relates to the field of multiple-input multiple-output (MIMO) communication, in particular to a low bit feedback user power allocation method for MIMO. Background technique [0002] In the MIMO communication system, it configures multiple antenna units at both ends of the transceiver, and through time-space joint processing technology, the multipath propagation that is usually considered harmful in wireless propagation is transformed into multipath delay extension that is beneficial to users, thereby Increased transfer rate. [0003] However, in the MIMO system, the Dirty Paper Coding (DPC) transmission scheme, which can theoretically achieve the optimal capacity, has very low practicability due to its high encoding and decoding complexity and strict requirements on channel information accuracy. Subsequent researchers have also conducted research on suboptimal transmission schemes with lower complexity, and zero-forcing beamforming techn...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W52/24H04W52/34H04W52/42
Inventor 张靖葛晓虎黄坤曹程倩杜曲胡金钟吴泽世
Owner HUAZHONG UNIV OF SCI & TECH