## 6 Discussion  
The adaptability of the OTFS framework to future technological advancements and standards depends on its inherent flexibility, the willingness of the research community to evolve the framework, and its ability to integrate with emerging technologies. The ability of the OTFS framework to integrate with emerging wireless communication standards is crucial for its long-term adaptability. Compatibility with new modulation schemes, protocols, and frequency bands enhances its relevance in evolving wireless networks. The OTFS framework is designed to support multiple access schemes. It can be more adaptable to diverse communication scenarios. The ability to accommodate different access methods allows it to align with future network architectures and requirements. As wireless networks evolve, the scalability and performance optimization of the OTFS framework will become increasingly important. Continuous efforts to enhance scalability and optimize performance ensure that the framework remains viable in large-scale and high-performance communication systems. The ability of the OTFS framework to address emerging use cases, such as Internet of Things (IoT), Industry 4.0, and beyond, is a key factor in its adaptability. Anticipating and accommodating diverse communication scenarios ensures continued relevance. There are some limitations to our method. The scalability of the OTFS framework in handling a large number of simultaneous targets or users depends on various factors. Efficient parallelization of algorithms can enhance the system's ability to handle a large number of simultaneous targets or users. The OTFS framework can potentially support  
Figure 9: BER performance. multiple access schemes, allowing it to handle multiple targets or users simultaneously. Differentiation and isolation of signals in the DD domain contribute to scalability. The ability of OTFS modulation to adapt to dynamic channel conditions is beneficial for scalability. It enables the framework to handle variations in the number of targets or users and changes in the communication environment. The computational complexity of the OTFS framework may become a limiting factor as the number of simultaneous targets or users increases. Processing overheads may scale with square or higher orders of the number of targets, impacting real-time performance. Accurate channel estimation and tracking become more challenging with a larger number of simultaneous targets or users. The complexity of tracking and adapting to dynamic channels may impact the scalability of the system. In scenarios with a high density of simultaneous targets or users, interference and crosstalk between signals may increase. The ability of OTFS modulation to distinguish between closely spaced targets may be limited, affecting system performance. The OTFS framework is designed to be robust in the face of challenging channel conditions in rapidly changing multipath environments. Its unique approach to signal representation in the DD domain offers advantages in scenarios where conventional modulation schemes may struggle. The OTFS framework excels in representing signals in the DD domain, providing a more natural and robust representation of the channel characteristics. This representation allows for the separation of signals arriving at different delays and Doppler shifts, even in environments with severe multipath conditions. OTFS modulation can mitigate the effects of frequency-selective fading, a common challenge in multi-path environments. By transforming signals to the DD domain, OTFS modulation provides a way to disentangle frequency-selective fading components, leading to an improved communication performance. The OTFS framework can be designed to incorporate dynamic channel tracking algorithms. These algorithms adapt to changes in the channel conditions, continuously updating channel estimates to maintain a robust communication performance in environments with varying multi-path characteristics.