OFDMA混合小区中基于业务量感知实用程序的QoS配置

Ravikumar Balakrishnan, B. Canberk, I. Akyildiz
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引用次数: 7

摘要

小蜂窝技术作为下一代蜂窝系统的一部分,由于其在增加网络容量和改善室内和本地覆盖方面的性能优势,正变得越来越重要。混合接入小蜂窝既为室内用户提供服务,也为相邻用户提供服务,在外部相邻用户存在的情况下,采用特殊策略保证室内家庭用户的性能优势。这些策略必须能够稳定用户队列,并在延迟和吞吐量方面提供性能优势,特别是对于室内用户。因此,需要根据流量类型和用户类型对用户数据进行分类,才能有效实现差异化的QoS性能。本文提出了一种考虑用户优先级指标和业务量特征的业务量感知效用函数,为OFDMA混合小蜂窝下的用户提供差异化的QoS效益。以功率约束下的基于交通感知效用的调度问题为优化目标,提出了调度问题的优化算法。结果表明,所提方案在吞吐量和时延方面都获得了QoS的性能优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Traffic-aware utility based QoS provisioning in OFDMA hybrid smallcells
Smallcell technology is gaining significance as part of the next-generation cellular systems due to their performance benefits in terms of increased network capacity and improved indoor and local coverage. Hybrid access smallcells, which provide service to both indoor as well as neighboring users, adopt adhoc policies to guarantee performance benefits to indoor home users in the presence of external neighboring users. Such policies must be able to stabilize user queues as well as to provision performance benefits in terms of delay and throughput, especially for the indoor users. As a result, classification of user data in terms of traffic type and user type is required to effectively achieve the differentiated QoS performance. In this paper, a traffic-aware utility function is proposed, which takes into account for the user's priority index and traffic characteristics to efficiently provide differentiated QoS benefits to users served under an OFDMA hybrid smallcell. The problem of the traffic-aware utility based scheduling under power constraints is posed as an optimization objective and an optimal algorithm for the scheduling problem is presented. The results show that the proposed scheme achieves QoS performance benefits in terms of throughput and delay.
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