QUALITATIVE MODELING AND COMPRESSION OF REQUEST SEQUENCES IN ARQ PROTOCOLS

Patent №

US 6,606,037

Granted

2003-08-12

Filed 2001

Owner

TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)

Lab

AI components

2

ml · kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10010317

Method and system are disclosed for compressing the data in the request sequence of an ARQ algorithm. A probability estimation module receives the request sequence from the ARQ algorithm and estimates a probability associated with each symbol or bit in the sequence according to a customized Markov model. The estimated probabilities are thereafter provided to an entropy encoder module, which uses the estimated probabilities to encode each symbol or bit in the request sequence. The encoded request sequence is then transmitted in a repeat request in accordance with the ARQ algorithm.

Machine learningKnowledge representationH04L 1/1614G06T 9/005H03M 7/4006H04L 1/1809

AI classification

Knowledge representation0.93
Machine learning0.91
Natural language0.01
Evolutionary computation0.01
Vision0.00
Planning0.00
Speech0.00
AI hardware0.00

Ownership

TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)

assignment · 127200401

Assignors

EKSTRAND, NICKLAS, RATHONYI, BELA, CHTARKOV (SHTARKOV), YURI, SMEETS, BEN

On an employer assignment, the assignors are typically the inventors.

From the same owner

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