Resource allocation device and method in large-scale antenna system
US-2020228281-A1 · Jul 16, 2020 · US
US11664859B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11664859-B2 |
| Application number | US-202117486013-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 27, 2021 |
| Priority date | Sep 27, 2020 |
| Publication date | May 30, 2023 |
| Grant date | May 30, 2023 |
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A method for switching transmission methods in a multiple input multiple output (MIMO) system may include: receiving scenario identification related data from a user equipment (UE) in a current transmission method; determining a target transmission method of the UE from at least two predefined transmission methods based on the scenario identification related data; and switching the current transmission method of the UE to the target transmission method.
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What is claimed is: 1. A method for switching transmission methods in a multiple input multiple output (MIMO) system, the method comprising: receiving scenario identification related data from a user equipment (UE) in a current transmission method; determining a target transmission method of the UE from at least two predefined transmission methods based on the scenario identification related data; and switching the current transmission method of the UE to the target transmission method, wherein the at least two predefined transmission methods comprise at least two of the following predefined transmission methods: a first transmission method corresponding to single-user MIMO (SU-MIMO) based on Type I codebook feedback Precoding Matrix Indicator (PMI) (Type I codebook PMI based SU-MIMO), a second transmission method corresponding to Multi-User MIMO (MU-MIMO) based on Sounding Reference Signal (SRS) (SRS based MU-MIMO), a third transmission method corresponding to MU-MIMO based on Type II codebook feedback PMI (Type II codebook PMI based MU-MIMO), a fourth transmission method corresponding to SU-MIMO based on SRS (SRS based SU-MIMO), a fifth transmission method corresponding to SU-MIMO based on Type II codebook feedback PMI (Type II codebook PMI based SU-MIMO), a sixth transmission method corresponding to MU-MIMO based on Type I codebook feedback PMI (Type I codebook PMI based MU-MIMO), a seventh transmission method corresponding to Open-loop SU-MIMO, and an eighth transmission method corresponding to Open-loop MU-MIMO. 2. The method of claim 1 , wherein the scenario identification related data comprises at least one of the following data: an SRS channel estimation result, a spatial channel time correlation, a Channel Quality Indicator (CQI), a rank indicator (RI), a PMI, a Signal to Interference Plus Noise Ratio (SINR), an uplink Power Headroom Report (MAR), a Modulation Product Coding Rate (MPR), an Open-loop Rate Control (OLRC), a Reference Signal Receiving Power (RSRP), a Buffer Occupy (BO), a number of user data streams, a number of multi-user data transmission streams, a Modulation and Coding Scheme (MCS), a Block Error Ratio (BLER), a throughput, and a multi-user spatial channel correlation. 3. The method of claim 1 , wherein the determining the target transmission method comprises: performing characteristic abstraction on the scenario identification related data to obtain scenario identification related characteristic data; and determining the target transmission method of the UE based on the scenario identification related characteristic data. 4. The method of claim 3 , wherein the performing characteristic abstraction on the scenario identification related data comprises: obtaining information of a channel quality and a mobility of the UE, from the scenario identification related data to obtain the scenario identification related characteristic data. 5. The method of claim 4 , wherein the obtaining the information of the channel quality and the mobility of the UE comprises: acquiring either one or both of an average and a variance of data values corresponding to the scenario identification related data in time units within a predefined duration, and using either one or both of the average and the variance as the scenario identification related characteristic data. 6. The method of claim 1 , wherein the determining the target transmission method comprises: acquiring a first probability that the UE enables the MIMO system to meet a predetermined transmission performance in each of the at least two predefined transmission methods, based on the scenario identification related data; and determining the target transmission method based on each first probability corresponding to the UE. 7. The method of claim 6 , wherein the acquiring the first probability comprises: inputting the scenario identification related data into an artificial intelligence (AI)-based probability prediction model, and acquiring, as an output of the AI-based probability prediction model, the first probability that the UE obtains a maximum throughput in each of the at least two predefined transmission methods. 8. The method of claim 6 , wherein the determining the target transmission method further comprises: determining the target transmission method based on the first probability corresponding to the UE in each of the at least two predefined transmission methods, in combination with at least one of a terminal capability requirement, a system resource restriction, and a multi-user number requirement of each of the at least two predefined transmission methods. 9. The method of claim 8 , wherein the determining the target transmission method further comprises: adding the UE to a corresponding UE pool of one of the at least two predefined transmission methods that corresponds to a maximum first probability, among each first probability corresponding to the UE; adjusting each first probability corresponding to each UE in the corresponding UE pool to obtain each second probability corresponding to the UE, based on at least one of the terminal capability requirement, the system resource restriction, and the multi-user number requirement of each of the at least two predefined transmission methods; and determining the target transmission method of the UE from the at least two predefined transmission methods based on each second probability corresponding to the UE. 10. The method of claim 9 , wherein, for the one of the at least two predefined transmission methods having the terminal capability requirement, the adjusting each first probability corresponding to each UE in the corresponding UE pool, based on at least one of the terminal capability requirement, system resource restriction, and the multi-user number requirement comprises: setting the first probability corresponding to the UE that does not meet the terminal capability requirement in the corresponding UE pool to a predefined value; and adjusting the first probability corresponding to the UE that does not meet the terminal capability requirement in other predefined transmission methods. 11. The method of claim 10 , wherein for the at least two predefined transmission methods corresponding to SRS based MU-MIMO and SRS based SU-MIMO, the adjusting each first probability corresponding to each UE in the corresponding UE pool, based on the terminal capability requirements of the at least two predefined transmission methods comprises: setting the first probability corresponding to the UE having no SRS capability in the UE pool in the at least two predefined transmission methods to the predefined value, and adjusting the first probability corresponding to the UE having no SRS capability in other predefined transmission methods. 12. The method of claim 9 , wherein for the one of the at least two predefined transmission methods having the system resource restriction, the adjusting the first probability corresponding to each UE in the corresponding UE pool, comprises: acquiring a maximum number of UEs corresponding to the system resource restriction, and sorting the UEs in the UE pool in descending order of the first probabilities corresponding to the UEs in the one of the at least two predefined transmission method; and setting a first probability corresponding to a UE with a sequence number greater than the maximum number of UEs in the UE pool in the one of the at least two predefined transmission methods to a predefined value, and adjusting the first probability corresponding to the UE with the sequence number greater than the maximum number of UEs in other predefined transmission methods. 13. The method of claim 1
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