One potential limitation of using ORBGRAND for high-order coded modulation schemes is the complexity of generating error patterns for a large number of constellation points. As the modulation order increases, the number of possible error patterns grows exponentially, leading to computational challenges in efficiently generating and sorting these patterns. This can result in increased decoding latency and hardware complexity, impacting the practical implementation of ORBGRAND for high-order modulations.
To address this limitation, advanced error pattern generation algorithms and hardware architectures can be developed to optimize the decoding process for high-order modulations. Techniques such as parallel processing, optimized sorting criteria, and efficient memory management can be employed to enhance the scalability of ORBGRAND for complex modulation schemes. Additionally, leveraging parallelization and hardware acceleration can improve the speed and efficiency of error pattern generation, making ORBGRAND more suitable for high-order coded modulation scenarios.
By overcoming the challenges related to complexity and scalability, ORBGRAND can be effectively utilized for high-order coded modulation schemes, offering near-optimal decoding performance with reduced computational overhead.