To address the challenge of distributed resources in multi-carrier communications, various approaches have been proposed. These methods typically stem from information-theoretic measurements or other channel activity aspects, which may not accurately represent the coding. This study employs a customized optimization method for Orthogonal Frequency Division Multiplexing (OFDM), implemented with a Low-Density Parity Check (LDPC) codes and employing general stability conditions. The latter involves formulating a crucial requirement to ensure flawless decoding by the Belief Propagation (BP) decoder with no errors in the received vector. This reframes the overall condition to represent better the characteristics of useful multi-carrier systems such as OFDM and establishes a broad framework for resource allocation to maximize transmitted power based on the attributes of LDPC coding. This study describes that the suggested optimization method that is applied in Orthogonal Frequency Division Multiple Access (OFDMA) systems for power distribution to ensure reliable decoding while minimizing power consumption. To validate the proposed approach, it is compared with information-theoretic methods aiming to maximize the mutual information shared by the transmitter and receiver. Both approaches yield practically the same performance for the scenarios addressed in this study.


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    Title :

    A Review of Resource Allocation of OFDMA using LDPC Codes


    Contributors:


    Publication date :

    2024-11-06


    Size :

    432471 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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