CN114143889A - Downlink RANK self-adaptive method - Google Patents
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- CN114143889A CN114143889A CN202111681989.3A CN202111681989A CN114143889A CN 114143889 A CN114143889 A CN 114143889A CN 202111681989 A CN202111681989 A CN 202111681989A CN 114143889 A CN114143889 A CN 114143889A
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- 238000001228 spectrum Methods 0.000 claims description 8
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- H—ELECTRICITY
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- H—ELECTRICITY
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Abstract
The invention discloses a downlink RANK self-adaptive method which is high in air interface throughput rate. The downlink RANK self-adaptive method comprises the following steps: (10) acquiring the type of the terminal: acquiring a terminal type; (20) and (3) judging the type of the terminal: acquiring the type of the terminal, and if the terminal is a non-antenna selection terminal, skipping to (30) a RANK self-adaptation step of the non-antenna selection terminal; if the terminal is the day selection terminal, continuing; (30) the method comprises the following steps of (1) self-adaptation of a random selection terminal: according to different weights of the day-selected terminal, respectively adopting RANK self-adaption and RANK self-adaption or non-self-adaption processing with optimal spectral efficiency and boundary protection; (40) non-day selection terminal RANK self-adaptation: forcibly lifting the current RANK to one order to serve as a new RANK; (50) new RANK output: and taking the new RANK as the PDSCH space division flow number for determining the SU user.
Description
Technical Field
The invention belongs to the technical field of 5G communication, and particularly relates to a downlink RANK self-adaptive method with high air interface throughput rate.
Background
RANK, the number of spatial division multiplexing streams, refers to the same time-frequency resource, and is transmitted simultaneously in several parts in space. When the code words are mapped to each stream through layer mapping and the time-frequency resources are not changed, the higher the RANK is, the higher the actual throughput rate is. The downlink RANK adaptation has the function of determining the number of PDSCH spatial streams of SU users.
With the gradual advance of 5G network construction, more 4G users migrate to the 5G network, and how the 5G network provides the user with an experience superior to that of the 4G network becomes a major problem faced by operators at present. While the advantages of 5G network value cannot be realized by simple coverage, the 5G terminal has more antenna port support than the 4G terminal (5G commercial mainstream configuration is 2T 4R). By utilizing the characteristic that the 5G terminal can support more streams, the increase of the Rank stream number of the 5G user becomes the key of 5G network optimization.
In NR, RANK has a large influence on user rate, low RANK of a near-point user under good coverage directly results in low user rate, user perception is not different from 4G, and if RANK has more streams, downlink rate can be about hundred million.
However, the prior art lacks a RANK adaptive method with high air interface throughput rate, and limits the optimization of the 5G network performance.
Disclosure of Invention
The invention aims to provide a downlink RANK self-adaptive method which is high in air interface throughput rate.
The technical solution for realizing the purpose of the invention is as follows:
a downlink RANK self-adaptive method comprises the following steps:
(10) acquiring the type of the terminal: acquiring a terminal type;
(20) and (3) judging the type of the terminal: acquiring the type of the terminal, and if the terminal is a non-antenna selection terminal, skipping to (30) a RANK self-adaptation step of the non-antenna selection terminal; if the terminal is the day selection terminal, continuing;
(30) the method comprises the following steps of (1) self-adaptation of a random selection terminal: according to different weights of the day-selected terminal, respectively adopting RANK self-adaption and RANK self-adaption or non-self-adaption processing with optimal spectral efficiency and boundary protection;
(40) non-day selection terminal RANK self-adaptation: forcibly lifting the current RANK to one order to serve as a new RANK;
(50) new RANK output: and taking the new RANK as the PDSCH space division flow number for determining the SU user.
Compared with the prior art, the invention has the following remarkable advantages:
the air interface throughput rate is high: the invention selects the corresponding Rank according to the optimal spectrum efficiency aiming at the near-point user of the antenna selection terminal, thereby improving the time-frequency resource utilization rate of the air interface and further improving the air interface throughput rate. And forcibly raising the first-order Rank on the basis of the current Rank on the premise of meeting the conditions aiming at the edge users of the antenna-selected terminal and the non-antenna-selected terminal. The air interface throughput rate is improved on the basis of ensuring transmission.
The invention is described in further detail below with reference to the figures and the detailed description.
Drawings
Fig. 1 is a main flow chart of a downlink RANK adaptation method according to the present invention.
Fig. 2 is a flowchart of the RANK adaptation procedure of the antenna terminal in fig. 1.
Detailed Description
As shown in fig. 1, the downlink RANK adaptation method of the present invention includes the following steps:
(10) acquiring the type of the terminal: acquiring a terminal type;
(20) and (3) judging the type of the terminal: acquiring the type of the terminal, and if the terminal is a non-antenna selection terminal, skipping to (30) a RANK self-adaptation step of the non-antenna selection terminal; if the terminal is the day selection terminal, continuing;
(30) the method comprises the following steps of (1) self-adaptation of a random selection terminal: according to different weights of the day-selected terminal, respectively adopting RANK self-adaption and RANK self-adaption or non-self-adaption processing with optimal spectral efficiency and boundary protection;
as shown in fig. 2, the RANK adaptation step of the (30) day-selected terminal includes:
(31) and (3) judging the terminal right of day selection: acquiring the right of the antenna selection terminal, and if the antenna selection terminal is a PMI right or an open-loop right, jumping to the step (25); if the terminal selected in the day is the SRS right, continuing;
(32) self-adaptive selection: determining a RANK self-adaptive method according to presynr; if preSinr is less than-2 db + offset, skipping to (24) a border protection RANK self-adapting step; if the priSinr is larger than-2 db-offset, continuing;
presinr skipping conditions are that Presinr is larger than-2 db + offset (default 1.5db), the adopted spectral efficiency is optimal, Presinr is smaller than-2 db-offset (default 1.5db), and boundary protection is adopted;
and if the spectrum efficiency is the first time, the spectrum efficiency is the best by default, and if the spectrum efficiency is not the first time, the current self-adaptive scheme is adopted.
(33) Spectrum efficiency optimal RANK adaptation: calculating the total spectral efficiency of each flow, selecting a corresponding Rank according to the optimal spectral efficiency, and performing RANK adaptive scheduling;
the (33) spectral efficiency optimal RANK adaptation step comprises:
(331) obtaining deltaSinrLayer of each flow according to the SRS measurement result;
(332) the SINR of each stream is calculated and,
sinrLayer＝-10log10(rank)+SINR_report+deltaSinrLayer；
(333) the SINR per stream per codeword is calculated,
SinrLayerCwAdj＝sinrLayer+filterDeltaSinr+sinrOffsetCw+phr；
(334) calculating the spectral efficiency of each codeword;
said (334) calculating the spectral efficiency of each codeword comprises:
(3341) the total SINR on each codeword is calculated,
totalSinrPerCw+＝weightLayer*SinrLayerCwAdj；
(3342) if the difference between deltaSinr of the first stream and deltaSinr of the last stream is larger than maxCondValueThld (default 15dB), then the original spectral efficiency is multiplied by a spectral efficiency conversion coefficient EFFCoef (coefk),
totalSinrPerCw＝totalSinrPerCw*EFFCoef；
(3343) the SINR per stream per codeword is calculated,
SinrCwWeightAdj＝totalSinrPerCw/weightCnt；
(335) calculating the total spectral efficiency per stream;
said (335) calculating the total spectral efficiency per stream step comprises:
(3351) obtaining MCS from SINR of each stream, SinrCwWeightadj mapping MCS
(3352) If the MCS is smaller than the minMcsThd (default 9) threshold value, the current RANK is considered invalid, the spectral efficiency corresponding to the code word is set to be 0, otherwise totaleffefcoefsw is the spectral efficiency mapped by the MCS (the MCS is per code word per stream)
(3353) The overall spectral efficiency is calculated and,
totalEffCoef＝layer*totalEffCoefSw；
(3354) AMC filtering is done to the total spectral efficiency,
totalEffCoefAdj＝totalEffCoef*coef+cototalEffCoefLast*(1-coef)；
(336) optimal RANK selection: judging the maximum spectral efficiency and the existing spectral efficiency, if the maximum spectral efficiency is 1.1 times larger than the current spectral efficiency, the current RANK is equal to the RANK corresponding to the maximum spectral efficiency, and taking the RANK as a new RANK; skipping to (40) a new RANK output step;
in the above-mentioned formulas, the first and second substrates,
the signal-to-noise ratio of the presinr SRS,
the coef spectral efficiency is converted into a coefficient,
the spectral efficiency currently calculated by totaleffefcoef,
the spectral efficiency last calculated by cototalEffCoefLast,
the spectral efficiency after totaleffefcoefadj filtering,
the spectral efficiency mapped by totaleffefcoefsw MCS,
the number of layers of the layer is equal to that of the layer,
sinrcwwweightadj each codeword has a weighted sinr value,
the weight value occupied by each layer of weightCnt,
the SRS reported by the deltaSinr physical layer has a gain relative to the PMI,
filtered deltaSinr reported by the filterdeltaSinr physical layer,
SINR _ report is the sum of SINR corresponding to CQI reported by csi and SINR corresponding to RI reported by csi, SINR corresponding to sinrOffsetCw mcs and sinrLayer difference value calculated by 332,
power headroom on phr RANK;
(34) boundary protection RANK adaptation: confirming that the MCS scheduled under the current RANK is larger than a RANK lifting MCS threshold and the RHO value of the fourth stream after full-band filtering is larger than a RANK lifting RHO value threshold, and forcibly lifting the current RANK to one order to serve as a new RANK; skipping to (40) a new RANK output step;
(35) non-adaptive processing: when the right of the antenna selection terminal is a PMI right or an open-loop right, the RI reported by the terminal is used as a new RANK; and jumping to (40) a new RANK output step.
(40) Non-day selection terminal RANK self-adaptation: forcibly lifting the current RANK to one order to serve as a new RANK;
(50) new RANK output: and taking the new RANK as the PDSCH space division flow number for determining the SU user.
The invention selects the corresponding Rank according to the optimal spectrum efficiency aiming at the near-point user of the antenna selection terminal, thereby improving the time-frequency resource utilization rate of the air interface and further improving the air interface throughput rate.
And forcibly raising the first-order Rank on the basis of the current Rank on the premise of meeting the conditions aiming at the edge users of the antenna-selected terminal and the non-antenna-selected terminal. The air interface throughput rate is improved on the basis of ensuring transmission.
Claims (5)
1. A downlink RANK self-adapting method is characterized by comprising the following steps:
(10) acquiring the type of the terminal: acquiring a terminal type;
(20) and (3) judging the type of the terminal: acquiring the type of the terminal, and if the terminal is a non-antenna selection terminal, skipping to (30) a RANK self-adaptation step of the non-antenna selection terminal; if the terminal is the day selection terminal, continuing;
(30) the method comprises the following steps of (1) self-adaptation of a random selection terminal: according to different weights of the day-selected terminal, respectively adopting RANK self-adaption and RANK self-adaption or non-self-adaption processing with optimal spectral efficiency and boundary protection;
(40) non-day selection terminal RANK self-adaptation: forcibly lifting the current RANK to one order to serve as a new RANK;
(50) new RANK output: and taking the new RANK as the PDSCH space division flow number for determining the SU user.
2. The downlink RANK adaptation method of claim 1, wherein said (30) day-selected terminal RANK adaptation step comprises:
(31) and (3) judging the terminal right of day selection: acquiring the right of the antenna selection terminal, and if the antenna selection terminal is a PMI right or an open-loop right, jumping to the step (25); if the terminal selected in the day is the SRS right, continuing;
(32) self-adaptive selection: determining a RANK self-adaptive method according to presynr; if preSinr is less than-2 db + offset, skipping to (24) a border protection RANK self-adapting step; if the priSinr is larger than-2 db-offset, continuing;
(33) spectrum efficiency optimal RANK adaptation: calculating the total spectral efficiency of each flow, selecting a corresponding Rank according to the optimal spectral efficiency, and performing RANK adaptive scheduling;
(34) boundary protection RANK adaptation: confirming that the MCS scheduled under the current RANK is larger than a RANK lifting MCS threshold and the RHO value of the fourth stream after full-band filtering is larger than a RANK lifting RHO value threshold, and forcibly lifting the current RANK to one order to serve as a new RANK; skipping to (40) a new RANK output step;
(35) non-adaptive processing: when the right of the antenna selection terminal is a PMI right or an open-loop right, the RI reported by the terminal is used as a new RANK; and jumping to (40) a new RANK output step.
3. The downlink RANK adaptation method according to claim 2, wherein said (33) spectrum efficiency optimized RANK adaptation step comprises:
(331) obtaining deltaSinrLayer of each flow according to the SRS measurement result;
(332) the SINR of each stream is calculated and,
sinrLayer＝-10log10(rank)+SINR_report+deltaSinrLayer；
(333) the SINR per stream per codeword is calculated,
SinrLayerCwAdj＝sinrLayer+filterDeltaSinr+sinrOffsetCw+phr；
(334) calculating the spectral efficiency of each codeword;
(335) calculating the total spectral efficiency per stream;
(336) optimal RANK selection: judging the maximum spectral efficiency and the existing spectral efficiency, if the maximum spectral efficiency is 1.1 times larger than the current spectral efficiency, the current RANK is equal to the RANK corresponding to the maximum spectral efficiency, and taking the RANK as a new RANK; skipping to (40) a new RANK output step;
in the above-mentioned formulas, the first and second substrates,
the signal-to-noise ratio of the presinr SRS,
the coef spectral efficiency is converted into a coefficient,
the spectral efficiency currently calculated by totaleffefcoef,
the spectral efficiency last calculated by cototalEffCoefLast,
the spectral efficiency after totaleffefcoefadj filtering,
the spectral efficiency mapped by totaleffefcoefsw MCS,
the number of layers of the layer is equal to that of the layer,
sinrcwwweightadj each codeword has a weighted sinr value,
the weight value occupied by each layer of weightCnt,
the SRS reported by the deltaSinr physical layer has a gain relative to the PMI,
filtered deltaSinr reported by the filterdeltaSinr physical layer,
SINR _ report is the sum of the SINR corresponding to the CQI reported by csi and the SINR corresponding to the RI reported by csi,
the SINR corresponding to sinrOffsetCw mcs and the calculated sinrLayer difference,
power headroom on phr RANK.
4. The downlink RANK adaptation method according to claim 3, wherein said (334) calculating the spectral efficiency of each codeword comprises:
(3341) the total SINR on each codeword is calculated,
totalSinrPerCw+＝weightLayer*SinrLayerCwAdj；
(3342) if the difference between deltaSinr of the first stream and deltaSinr of the last stream is larger than maxCondValueThld (default 15dB), then the original spectral efficiency is multiplied by a spectral efficiency conversion coefficient EFFCoef (coefk),
totalSinrPerCw＝totalSinrPerCw*EFFCoef；
(3343) the SINR per stream per codeword is calculated,
SinrCwWeightAdj＝totalSinrPerCw/weightCnt。
5. the downlink RANK adaptation method according to claim 4, wherein said step (335) of calculating the total spectral efficiency per stream comprises:
(3351) obtaining MCS from SINR of each stream, SinrCwWeightadj mapping MCS
(3352) If the MCS is smaller than the minMcsThd (default 9) threshold value, the current RANK is considered invalid, the spectral efficiency corresponding to the code word is set to be 0, otherwise totaleffefcoefsw is the spectral efficiency mapped by the MCS (the MCS is per code word per stream)
(3353) The overall spectral efficiency is calculated and,
totalEffCoef＝layer*totalEffCoefSw；
(3354) AMC filtering is done to the total spectral efficiency,
totalEffCoefAdj＝totalEffCoef*coef+cototalEffCoefLast*(1-coef)。
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|---|---|---|---|---|
| WO2023226216A1 (en) * | 2022-05-25 | 2023-11-30 | ***数智科技有限公司 | Smart rank downlink rate optimization method applicable to 6g |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103687042A (en) * | 2012-09-03 | 2014-03-26 | 中兴通讯股份有限公司 | Transmission method and system for physical downlink shared channel |
| CN103905098A (en) * | 2012-12-24 | 2014-07-02 | 电信科学技术研究院 | MIMO scheduling method, system and device |
| US20170111098A1 (en) * | 2014-05-30 | 2017-04-20 | Lg Electronics Inc. | Channel quality measurement method in multiple antenna wireless communication system and device for same |
| CN112217550A (en) * | 2019-07-12 | 2021-01-12 | 华为技术有限公司 | Precoding processing method and device |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103687042A (en) * | 2012-09-03 | 2014-03-26 | 中兴通讯股份有限公司 | Transmission method and system for physical downlink shared channel |
| CN103905098A (en) * | 2012-12-24 | 2014-07-02 | 电信科学技术研究院 | MIMO scheduling method, system and device |
| US20170111098A1 (en) * | 2014-05-30 | 2017-04-20 | Lg Electronics Inc. | Channel quality measurement method in multiple antenna wireless communication system and device for same |
| CN112217550A (en) * | 2019-07-12 | 2021-01-12 | 华为技术有限公司 | Precoding processing method and device |
Non-Patent Citations (1)
| Title |
|---|
| VIVO: "R1-1904100 "Performance evaluation on type II CSI compression for high rank extension"", 3GPP TSG_RAN\\WG1_RL1, no. 1, 30 March 2019 (2019-03-30) * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023226216A1 (en) * | 2022-05-25 | 2023-11-30 | ***数智科技有限公司 | Smart rank downlink rate optimization method applicable to 6g |
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