Greedy Algorithm for Subcarrier and Power Allocation in OFDM Systems

The application of greedy algorithms for subcarrier and power allocation in OFDM systems enables minimal transmit power consumption while achieving higher transmission efficiency and performance under fixed bit error rate constraints. Greedy algorithm employs a step-by-step optimization approach where at each iteration, it selects the most beneficial subcarrier and power allocation combination to progressively minimize overall power usage. This method typically involves sorting subcarriers by channel quality and allocating power incrementally to the most favorable channels first. In code implementation, this often utilizes sorting algorithms and iterative power distribution loops, where key functions calculate channel gain metrics and update power allocation matrices. The algorithm efficiently optimizes OFDM system resource utilization by dynamically assigning resources to subcarriers with better channel conditions, thereby enhancing signal reliability and transmission rates. Practical implementations may include constraint checks for total power budget and bit error rate thresholds within each allocation step. Therefore, greedy algorithm-based subcarrier and power allocation serves as an effective optimization technique that significantly improves performance metrics in OFDM systems through computationally efficient resource management strategies. The implementation typically features O(n log n) complexity for sorting operations followed by linear-time allocation processes, making it suitable for real-time system applications.