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Comparative analysis of scheduling algorithms for radio resource allocation in future communication networks
Khuram Ashfaq1, Ghazanfar Ali Safdar1, Masood Ur-Rehman2
1School of Computer Science and Technology, University of Bedfordshire, Luton, England, United Kingdom.
Peerj. Computer Science
|June 4, 2021
Summary
Fractional Frequency Reuse (FFR) scheduling offers superior performance in wireless networks. This method excels in throughput, fairness, and adaptability for radio resource assignment in LTE-A systems.
Area of Science:
- Wireless Communications
- Mobile Network Engineering
Background:
- Wireless links face challenges like signal attenuation and interference, impacting channel capacity and error rates.
- Scheduling algorithms are crucial for maintaining Quality of Service (QoS) in wireless networks.
- Schedulers are vital for assigning resource blocks (RB) to users in cellular communications.
Purpose of the Study:
- To evaluate the performance of different scheduling algorithms in wireless communication.
- To identify the most effective scheduling algorithm for Long-Term Evolution-Advanced (LTE-A) networks.
Main Methods:
- Compared Round Robin (RR), Best Channel Quality Indicator (BCQI), Proportional Fair (PF), and Fractional Frequency Reuse (FFR) algorithms.
- Conducted system-level simulations using a MATLAB-based LTE-A Vienna downlink simulator.
- Evaluated performance based on throughput, fairness index, spectral efficiency, and overall effectiveness.
Main Results:
- Fractional Frequency Reuse (FFR) demonstrated superior performance compared to RR, BCQI, and PF.
- FFR exhibited flexibility and adaptability in radio resource assignment.
- FFR achieved the best results across key performance indicators.
Conclusions:
- FFR is the optimal scheduling algorithm for LTE-A networks among those tested.
- The flexibility of FFR makes it highly suitable for dynamic radio resource management.
- Effective scheduling is key to optimizing wireless network performance and QoS.
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