000 | 04512nam a22006135i 4500 | ||
---|---|---|---|
001 | 978-3-031-31663-0 | ||
003 | DE-He213 | ||
005 | 20240423125544.0 | ||
007 | cr nn 008mamaa | ||
008 | 230817s2023 sz | s |||| 0|eng d | ||
020 |
_a9783031316630 _9978-3-031-31663-0 |
||
024 | 7 |
_a10.1007/978-3-031-31663-0 _2doi |
|
050 | 4 | _aQA268 | |
050 | 4 | _aQ350-390 | |
072 | 7 |
_aGPJ _2bicssc |
|
072 | 7 |
_aGPF _2bicssc |
|
072 | 7 |
_aCOM031000 _2bisacsh |
|
072 | 7 |
_aGPJ _2thema |
|
072 | 7 |
_aGPF _2thema |
|
082 | 0 | 4 |
_a003.54 _223 |
100 | 1 |
_aAbbas, Syed Mohsin. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
245 | 1 | 0 |
_aGuessing Random Additive Noise Decoding _h[electronic resource] : _bA Hardware Perspective / _cby Syed Mohsin Abbas, Marwan Jalaleddine, Warren J. Gross. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2023. |
|
300 |
_aXIV, 151 p. 114 illus., 101 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
505 | 0 | _aGuessing Random Additive Noise Decoding (GRAND) -- Hardware Architecture for GRAND with ABandonment (GRANDAB) -- Hardware Architecture for Ordered Reliability Bits GRAND (ORBGRAND) -- Hardware Architecture for List GRAND (LGRAND) -- Hardware Architecture for GRAND Markov Order (GRAND-MO) -- Hardware Architecture for Fading-GRAND -- A survey of recent GRAND variants. | |
520 | _aThis book gives a detailed overview of a universal Maximum Likelihood (ML) decoding technique, known as Guessing Random Additive Noise Decoding (GRAND), has been introduced for short-length and high-rate linear block codes. The interest in short channel codes and the corresponding ML decoding algorithms has recently been reignited in both industry and academia due to emergence of applications with strict reliability and ultra-low latency requirements . A few of these applications include Machine-to-Machine (M2M) communication, augmented and virtual Reality, Intelligent Transportation Systems (ITS), the Internet of Things (IoTs), and Ultra-Reliable and Low Latency Communications (URLLC), which is an important use case for the 5G-NR standard. GRAND features both soft-input and hard-input variants. Moreover, there are traditional GRAND variants that can be used with any communication channel, and specialized GRAND variants that are developed for a specific communication channel. This book presents a detailed overview of these GRAND variants and their hardware architectures. The book is structured into four parts. Part 1 introduces linear block codes and the GRAND algorithm. Part 2 discusses the hardware architecture for traditional GRAND variants that can be applied to any underlying communication channel. Part 3 describes the hardware architectures for specialized GRAND variants developed for specific communication channels. Lastly, Part 4 provides an overview of recently proposed GRAND variants and their unique applications. This book is ideal for researchers or engineers looking to implement high-throughput and energy-efficient hardware for GRAND, as well as seasoned academics and graduate students interested in the topic of VLSI hardware architectures. Additionally, it can serve as reading material in graduate courses covering modern error correcting codes and Maximum Likelihood decoding for short codes. | ||
650 | 0 | _aCoding theory. | |
650 | 0 | _aInformation theory. | |
650 | 0 | _aTelecommunication. | |
650 | 0 | _aLogic design. | |
650 | 0 | _aComputer arithmetic and logic units. | |
650 | 1 | 4 | _aCoding and Information Theory. |
650 | 2 | 4 | _aCommunications Engineering, Networks. |
650 | 2 | 4 | _aLogic Design. |
650 | 2 | 4 | _aArithmetic and Logic Structures. |
700 | 1 |
_aJalaleddine, Marwan. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
700 | 1 |
_aGross, Warren J. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031316623 |
776 | 0 | 8 |
_iPrinted edition: _z9783031316647 |
776 | 0 | 8 |
_iPrinted edition: _z9783031316654 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-31663-0 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
999 |
_c179240 _d179240 |