Abstract

Current cellular networks are often overloaded by Smartphone traffic, while the users’ Quality of Service (QoS) demands are not met. To cope with this problem, we demonstrate a new radio resource management approach. With Context-Aware Resource Allocation, the base station’s scheduler (i) observes Context Information (CI) from the user’s environment and (ii) utilizes this knowledge for an efficient throughput-delay tradeoff. After introducing our framework for accessing CI from the handheld’s applications and operating system, we use time-utility functions to develop a practical scheduling algorithm. Studying this heuristic under various traffic assumptions shows that our context-aware scheduler can support three times the load of proportional fair scheduling, at equal capacity and utility. Thus, even a small degree of CI increases the wireless links’ efficiency without sacrificing the users’ QoS.

Highlights

  • Modern User Equipments (UEs), like Smartphones and Tablets, lead to serious load problems in radio networks [1]

  • Structure In Section “Context-Aware Resource Allocation”, we describe the framework for CARA by defining Context Information (CI), transactions and utility functions

  • As we show the CARA approach offers superior performance compared to Weighted Proportional Fair (WPF) because it exploits more detailed CI and directly improves the user-observable metrics

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Summary

Introduction

Modern User Equipments (UEs), like Smartphones and Tablets, lead to serious load problems in radio networks [1]. We define the utility of a transaction finished in the time expected by the user to be U(texp). WPF and CARA improve the utility compared to PF, because they are aware of the users’ requirements and can use this knowledge for the scheduling decision.

Results
Conclusion

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