PATENT CLAIM ANALYSIS

Application Number: 15934357
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["370", "329000"]

Abstract:
The present invention discloses a pilot allocation method and apparatus, and relates to the field of wireless communications technologies, so as to resolve a problem that relatively strong pilot interference is generated between users on which MUBF pairing is performed. In the embodiments of the present invention, a base station determines user equipments UEs requiring multi-user beam forming MUBF pairing and to-be-allocated ports, sets a quantity of orthogonal cover codes OCCs according to a quantity of the to-be-allocated ports, and determines a pilot allocation result according to the quantity of the to-be-allocated ports, the quantity of the OCCs, and a quantity of the UEs. The solutions provided in the embodiments of the present invention are applicable to pilot allocation.

Claim (Index 7):
The pilot allocation apparatus according to  claim 6 , wherein the base station comprises downlink control information DCI, wherein the DCI comprises a first field used to carry N SCID  and a second field used to carry to-be-allocated port number information having at least two bits, and the N SCID  is a pseudo random sequence generation seed of the to-be-allocated ports; and the apparatus further comprises a sending unit, wherein\n the sending unit is configured to: set the N SCID  in the first field of the DCI according to the pilot allocation result, set the to-be-allocated port number information in the second field of the DCI, and send the DCI to the UEs.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 90.0
- Lexical Diversity: 2.01562
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14996255', '14168758', '15455555', '15759624', '15882629']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.582207258121916
- 35 USC 102 Novelty (BERT): 0.5107578775024169
- Combined Prediction Score: 0.575062320059966
- Mean Citation Score: 238.575988
- Max Citation Score: 279.45782
- Similarity Product: 186.5357682024622

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test