As there is a lot of research on LDPC and Polar codes. First of all which coding scheme will lead for applications like 5G and 6G. Secondly can there is be any new paradigm of coding other than LDPC and Polar?
Dear Waheed,
there are two types of error control coding, the block codes and convolutional codes. The block codes are effective in case of burst errors such as Reed Solomon codes. The convolutional codes are effective in correcting bit wise codes. The most important parameter is the coding gain which is the improvement in the signal to noise ratio at low bit error rates.
There are two costs of the error correcting codes as
- The addition of redundancy and this property is measured by the code rate.
- The computational effort in implementing the codec.
The ultimate goal in error correction and detection in is to achieve the Shannon limit of the channel capacity.
Up till now there are two algorithms which can achieve near Shannon limit.
The turbo codes and low parity density check codes.
Both need high computational efforts.
The error control is a tool to improve the transmission channels. If the channel is good and satisfies the quality of service then there is no need for error control coding. If the channel can not satisfy the quality of service then one has to use error control coding.
I think the advancement will be also in minimizing the computational efforts in implementing the algorithms.
Best wishes
Dear Waheed,
there are two types of error control coding, the block codes and convolutional codes. The block codes are effective in case of burst errors such as Reed Solomon codes. The convolutional codes are effective in correcting bit wise codes. The most important parameter is the coding gain which is the improvement in the signal to noise ratio at low bit error rates.
There are two costs of the error correcting codes as
- The addition of redundancy and this property is measured by the code rate.
- The computational effort in implementing the codec.
The ultimate goal in error correction and detection in is to achieve the Shannon limit of the channel capacity.
Up till now there are two algorithms which can achieve near Shannon limit.
The turbo codes and low parity density check codes.
Both need high computational efforts.
The error control is a tool to improve the transmission channels. If the channel is good and satisfies the quality of service then there is no need for error control coding. If the channel can not satisfy the quality of service then one has to use error control coding.
I think the advancement will be also in minimizing the computational efforts in implementing the algorithms.
Best wishes
Dear Waheed,
Not at all as electronic engineers we study such channel coding algorithms and implement them using VHDL on field programmable arrays FPGA.
By referring to my list pf publications you can get papers almost covering all the channel coding techniques commonly used in the standard mobile communication systems. We mad also a trial to implement LDPC method.
Article Implementation for Two-Stage Hybrid Decoding for Low Density...
Best wishes
Just if you are curious regarding FPGA complexity and implementation issues of polar codes you may have a look on the following link of an open source project: http://owl.ifn.et.tu-dresden.de/orca/polarcode/
It may construct with a combination approach on the basis of LDPC and Polar codes. I have an idea regarding developing such a concept.
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