Polar codes for control channels
E522251
Polar codes for control channels are a class of capacity-achieving error-correcting codes used in 5G NR to reliably transmit control information such as scheduling and signaling messages.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Polar codes for control channels canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5479814 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Polar codes for control channels Context triple: [5G NR, hasChannelCoding, Polar codes for control channels]
-
A.
LDPC
LDPC (Low-Density Parity-Check) is a powerful class of linear error-correcting codes known for near-Shannon-limit performance and widespread use in modern high-throughput communication systems.
-
B.
Algebraic Coding Theory
Algebraic Coding Theory is a foundational mathematical text that systematically develops the theory and applications of error-correcting codes using algebraic methods.
-
C.
Error detecting and error correcting codes
"Error detecting and error correcting codes" is a seminal 1950 paper by Richard W. Hamming that founded the modern theory of error-correcting codes in digital communication and data storage.
-
D.
Coding and Information Theory
"Coding and Information Theory" is a foundational textbook by Richard W. Hamming that introduces the mathematical principles underlying error-correcting codes and the transmission of information.
-
E.
Time Division Multiple Access
Time Division Multiple Access (TDMA) is a channel access method that divides a communication medium into time slots so multiple users can share the same frequency without interference.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Polar codes for control channels Target entity description: Polar codes for control channels are a class of capacity-achieving error-correcting codes used in 5G NR to reliably transmit control information such as scheduling and signaling messages.
-
A.
LDPC
LDPC (Low-Density Parity-Check) is a powerful class of linear error-correcting codes known for near-Shannon-limit performance and widespread use in modern high-throughput communication systems.
-
B.
Algebraic Coding Theory
Algebraic Coding Theory is a foundational mathematical text that systematically develops the theory and applications of error-correcting codes using algebraic methods.
-
C.
Error detecting and error correcting codes
"Error detecting and error correcting codes" is a seminal 1950 paper by Richard W. Hamming that founded the modern theory of error-correcting codes in digital communication and data storage.
-
D.
Coding and Information Theory
"Coding and Information Theory" is a foundational textbook by Richard W. Hamming that introduces the mathematical principles underlying error-correcting codes and the transmission of information.
-
E.
Time Division Multiple Access
Time Division Multiple Access (TDMA) is a channel access method that divides a communication medium into time slots so multiple users can share the same frequency without interference.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
capacity-achieving code
ⓘ
channel coding scheme ⓘ error-correcting code ⓘ forward error correction code ⓘ |
| achieves | channel capacity under successive cancellation decoding in the limit of infinite block length ⓘ |
| appliedTo |
control channels
ⓘ
downlink control information ⓘ uplink control information ⓘ |
| basedOn | polar codes ⓘ |
| designedFor | reliable control channel transmission ⓘ |
| designedTo | improve control channel robustness in 5G NR ⓘ |
| domain |
cellular networks
ⓘ
wireless communications ⓘ |
| encodes |
DCI formats
ⓘ
broadcast channel payload ⓘ uplink control information bits ⓘ |
| implementedIn |
5G base stations
ⓘ
5G user equipment ⓘ |
| includes |
CRC concatenation
ⓘ
bit selection and puncturing ⓘ code shortening ⓘ interleaving ⓘ rate matching ⓘ |
| introducedIn |
5G NR Release 15
ⓘ
linked to:
3GPP Release 15
|
| inventorOfUnderlyingTheory | Erdal Arikan ⓘ |
| optimizedFor |
high reliability
ⓘ
low latency decoding ⓘ short block lengths ⓘ |
| property |
binary linear code
ⓘ
structured block code ⓘ |
| relatedTo | LDPC codes for data channels ⓘ |
| replaced | LTE tail-biting convolutional codes for control channels in 5G NR ⓘ |
| specifiedIn | 3GPP TS 38.212 ⓘ |
| standardizedBy | 3GPP ⓘ |
| supports |
different block lengths
ⓘ
various code rates via rate matching ⓘ |
| usedFor |
transmission of control information
ⓘ
transmission of scheduling information ⓘ transmission of signaling messages ⓘ |
| usedIn | 5G NR ⓘ |
| usedOn |
PBCH
ⓘ
PDCCH ⓘ PUCCH ⓘ
linked to:
SC-FDMA
physical broadcast channel ⓘ physical downlink control channel ⓘ physical uplink control channel ⓘ |
| uses |
CRC-aided list decoding
ⓘ
channel polarization principle ⓘ successive cancellation decoding ⓘ successive cancellation list decoding ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Polar codes for control channels Description of subject: Polar codes for control channels are a class of capacity-achieving error-correcting codes used in 5G NR to reliably transmit control information such as scheduling and signaling messages.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.