To incorporate intelligent reflecting surfaces (IRS) or other advanced technologies into the proposed system for enhanced spectrum efficiency and performance, several considerations need to be addressed:
Intelligent Reflecting Surfaces (IRS): Integrating IRS into the system can improve signal coverage, enhance signal strength, and mitigate interference. By deploying IRS strategically in the environment, the system can optimize signal reflection paths, improve signal quality, and increase overall spectral efficiency.
Machine Learning and AI: Leveraging machine learning algorithms for dynamic resource allocation and optimization can further enhance system performance. AI can adaptively adjust transmission parameters based on real-time channel conditions, traffic patterns, and user requirements to maximize throughput and detection accuracy.
Multi-Access Edge Computing (MEC): Implementing MEC at the network edge can offload processing tasks, reduce latency, and improve system efficiency. By integrating MEC with the proposed system, complex signal processing tasks can be distributed closer to the users, enhancing overall system performance.
Hybrid Beamforming: Utilizing hybrid beamforming techniques can optimize antenna arrays for both communication and radar functions. By dynamically adjusting beamforming weights based on the operational mode (communication or radar), the system can achieve efficient signal transmission and reception.
Dynamic Spectrum Sharing: Implementing dynamic spectrum sharing techniques can enhance spectrum efficiency by dynamically allocating frequency bands based on real-time demand and interference conditions. Cognitive radio technologies can enable intelligent spectrum utilization, maximizing system capacity and performance.
By integrating these advanced technologies and techniques into the proposed system, the spectrum efficiency and overall performance can be significantly enhanced, providing a more robust and adaptive communication and radar system.