An Efficient Quantized Message Passing Receiver Design for SCMA Systems. [PDF]
Cheng H, Zhang M, Su R.
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Automatic Classification of 5G Waveform-Modulated Signals Using Deep Residual Networks. [PDF]
Ben Chikha H, Alaerjan A, Jabeur R.
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An efficient algorithm for resource optimization in IRS-mmWave-NOMA B5G wireless networks. [PDF]
Liang W +3 more
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Advancing Non-Line-of-Sight Communication: A Comprehensive Review of State-of-the-Art Technologies and the Role of Energy Harvesting. [PDF]
Al-Ghafri Y +3 more
europepmc +1 more source
A Study of Downlink Power-Domain Non-Orthogonal Multiple Access Performance in Tactile Internet Employing Sensors and Actuators. [PDF]
Fanibhare V, Sarkar NI, Al-Anbuky A.
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Decoding the brain-machine interaction for upper limb assistive technologies: advances and challenges. [PDF]
Ghosh S +7 more
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Low complexity list successive cancellation decoding of polar codes [PDF]
The authors propose a low complexity list successive cancellation (LCLSC) decoding algorithm, where the advantages of the successive cancellation (SC) decoding and the list successive cancellation (LSC) decoding are both considered. In the proposed decoding, SC decoding instead of LSC decoding is implemented when all information bits from bad ...
Congzhe Cao, Zesong Fei, Jinhong Yuan
exaly +3 more sources
List successive cancellation decoding of polar codes
A list successive cancellation (LSC) decoding algorithm to boost the performance of polar codes is proposed. Compared with traditional successive cancellation decoding algorithms, LSC simultaneously produces at most L locally best candidates during the decoding process to reduce the chance of missing the correct codeword.
K Niu
exaly +2 more sources
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Bounds on the List Size of Successive Cancellation List Decoding
2020 International Conference on Signal Processing and Communications (SPCOM), 2020Successive cancellation list decoding of polar codes provides very good performance for short to moderate block lengths. However, the list size required to approach the performance of maximum-likelihood decoding is still not well understood theoretically.
Mustafa Cemil Coskun, Henry D. Pfister
openaire +1 more source

