Constant Weight Codes with Gabor Dictionaries and Bayesian Decoding for Massive Random Access
| Autor: | Patrick Agostini, Zoran Utkovski, Alexis Decurninge, Maxime Guillaud, Sławomir Stańczak |
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| Přispěvatelé: | Publica |
| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: |
Signal Processing (eess.SP)
FOS: Computer and information sciences IoT Computer Science - Information Theory Information Theory (cs.IT) Applied Mathematics Decoding message passing Bayesian inference Wireless communication Massive random access unsourced random access Iterative decoding Receivers Computer Science Applications Codes Dictionaries Encoding FOS: Electrical engineering electronic engineering information engineering Electrical Engineering and Systems Science - Signal Processing Electrical and Electronic Engineering |
| Popis: | This paper considers a general framework for massive random access based on sparse superposition coding. We provide guidelines for the code design and propose the use of constant-weight codes in combination with a dictionary design based on Gabor frames. The decoder applies an extension of approximate message passing (AMP) by iteratively exchanging soft information between an AMP module that accounts for the dictionary structure, and a second inference module that utilizes the structure of the involved constant-weight code. We apply the encoding structure to (i) the unsourced random access setting, where all users employ a common dictionary, and (ii) to the "sourced" random access setting with user-specific dictionaries. When applied to a fading scenario, the communication scheme essentially operates non-coherently, as channel state information is required neither at the transmitter nor at the receiver. We observe that in regimes of practical interest, the proposed scheme compares favorably with state-of-the art schemes, in terms of the (per-user) energy-per-bit requirement, as well as the number of active users that can be simultaneously accommodated in the system. Importantly, this is achieved with a considerably smaller size of the transmitted codewords, potentially yielding lower latency and bandwidth occupancy, as well as lower implementation complexity. |
| Databáze: | OpenAIRE |
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