Communication system with blind decoding mechanism and method of operation thereof
AssigneeSamsung Electronics Co., Ltd.
InventorsDongwoon Bai, Jungwon Lee, Sungsoo Kim, Hanju Kim, Inyup Kang
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AssigneeSamsung Electronics Co., Ltd.
InventorsDongwoon Bai, Jungwon Lee, Sungsoo Kim, Hanju Kim, Inyup Kang
Estimating the term…
A communication system includes: a decoding-probability module for calculating a decoding likelihood with a control unit for characterizing an alternative hypothesis regarding an arriving communication; a null-probability module, coupled to the decoding-probability module, for calculating a null likelihood for characterizing a null hypothesis regarding the arriving communication; a weight-calculation module, coupled to the decoding-probability module, for generating a decision weight corresponding to the decoding likelihood, the null likelihood, or a combination thereof; a reliability calculation module, coupled to the decoding-probability module, for calculating a decoding reliability with the decision weight, the decoding likelihood, and the null likelihood, the decoding reliability corresponding to a decoded-result; and a decoding module, coupled to the reliability calculation module, for decoding the arriving communication with a decoding parameter based on the decoding reliability for communicating with a device.
A communication system comprising:
A method of operation of a communication system comprising:
A method of operation of a communication system comprising:
Dependencies are inferred from the claim text.
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Sequence estimation, i.e. using statistical methods for the reconstruction of the original codes: maximum a posteriori probability [MAP] decoding…
Combining two or more codes or code structures, e.g. product codes, generalised product codes, concatenated codes, inner and outer codes: using a…
Decoding methods or techniques, not specific to the particular type of coding provided for in groups H03M13/03 - H03M13/35: with judging correct…
Sequence estimation, i.e. using statistical methods for the reconstruction of the original codes: using the Viterbi algorithm or Viterbi processors
About 6 years 9 months of term left · ends 31 Jul 2033 (estimated)
The embodiment of the present invention relates generally to a communication system, and more particularly to a communication system with blind decoding mechanism.
Modern consumer and industrial electronics, especially devices such as cellular phones, navigations systems, portable digital assistants, and combination devices, are providing increasing levels of functionality to support modern life including mobile communication. Research and development in the existing technologies can take a myriad of different directions.
The increasing demand for information in modern life requires users to access information at any time, at increasing data rates. However, telecommunication signals used in mobile communication effectively experience various types of interferences from numerous sources, as well as computational complexities rising from numerous possible formats for communicated information, which affect the quality and speed of the accessible data.
FIG. 1 is a communication system with blind decoding mechanism in an embodiment of the present invention.
FIG. 2 is an example of communication between the mobile device and the base station.
FIG. 3 is an exemplary block diagram of the communication system.
The following embodiments are described in sufficient detail to enable those skilled in the art to make and use the invention. It is to be understood that other embodiments would be evident based on the present disclosure, and that system, process, or mechanical changes may be made without departing from the scope of the embodiment of the present invention.
The following embodiments can be used to prune an arriving communication in addition to determining a content error. The arriving communication can be pruned using a decoding reliability, which can be calculated using a decoding likelihood for characterizing an alternative hypothesis, a null likelihood for characterizing a null hypothesis, and a decision weight.
Pruning based on the decoding reliability increases the stability and robustness of the communication system. Further, the decoding likelihood, the null likelihood, and the decision weight can improve accuracy of the communication system without significantly increasing cost or computational complexity.