Low-Complexity Proportional Fair Resource Allocation Algorithm in OFDMA Systems

In OFDMA systems, to achieve low-complexity proportional fair resource allocation, the following algorithm (including original paper reference and implementation code) can be employed: The algorithm implementation includes key components such as user priority calculation based on historical throughput, subcarrier allocation optimization, and power distribution while maintaining proportional fairness constraints. Python code example for the resource allocation algorithm: def low_complexity_fair_allocation(): # Implements core algorithm logic including: # 1. Channel quality assessment per subcarrier # 2. Proportional fairness metric calculation # 3. Iterative resource allocation with complexity control # 4. Dynamic user scheduling based on fairness criteria pass By implementing this algorithm, we can achieve fair resource distribution in OFDMA systems while maintaining low computational complexity characteristics. The approach effectively balances system throughput and user fairness through optimized subcarrier and power allocation strategies.