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Global Positional Proportional Fairness Based on Spectrum Aggregation in Cognitive Radio

並列摘要


In cognitive radio system, when spectrum aggregation technology is involved to support numerous data transmission, it is still a problem that band resources scheduling is unfairness among secondary users. A global positional proportional fairness scheduling algorithm is investigated based on spectrum aggregation to clarify the problem. This paper focuses on the relationship between spectrum aggregation and fairness scheduling of secondary users. Bandwidth fairness can be improved by considering the positional parameters if secondary users are at disadvantage locations which make the band resources restricted. Simulation results show that the proposed scheduling algorithm takes advantages of bandwidth fairness comparing with the traditional scheduling algorithms without positional parameters. Meanwhile it presents that the proposed fairness scheduling algorithm sacrifice bandwidth jitter index to make sure of fairness among secondary users.

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