CHANNEL CAPACITY OPTIMIZATION AND PERFORMANCE ANALYSIS OF FIBER-WIRELESS CONVERGED COMMUNICATION SYSTEMS
Keywords:
Fiber-wireless converged communication systems, Channel capacity optimization, End-to-end channel model, Adaptive resource allocationAbstract
With the increasing demand for high data rates, large capacity, and flexible access in 5G and 6G communication networks, fiber-wireless converged communication systems have become an important technical direction for future broadband access and mobile fronthaul networks. This paper investigates channel capacity optimization and performance analysis of fiber-wireless converged communication systems. First, an end-to-end system model consisting of cascaded optical fiber and wireless links is established, and the channel capacity expression is derived based on the equivalent signal-to-noise ratio. Then, the impacts of key factors, including fiber length, wireless transmission distance, transmit power, bandwidth, and modulation format, on system capacity are analyzed. Based on this model, a simplified capacity optimization strategy is proposed by identifying the bottleneck link and adaptively adjusting transmission resources to improve the end-to-end system performance. Simulation results show that, compared with the fixed resource allocation scheme, the proposed adaptive allocation strategy achieves higher channel capacity and effective throughput, while improving the bit error performance to some extent. These results demonstrate that bottleneck-link identification and optimized resource allocation are effective methods for enhancing the performance of fiber-wireless converged communication systems.References
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