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首页> 外文期刊>IEEE transactions on wireless communications >A flexible downlink scheduling scheme in cellular packet data systems
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A flexible downlink scheduling scheme in cellular packet data systems

机译:蜂窝分组数据系统中的灵活下行链路调度方案

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Fast downlink scheduling algorithms play a central role in determining the overall performance of high-speed cellular data systems, characterized by high throughput and fair resource allocation among multiple users. We propose a flexible channel-dependent downlink scheduling scheme, named the (weighted) alpha-rule, based on the system utility maximization that arises from the Internet economy of long-term bandwidth sharing among elastic-service users. We show that the utility as a function of per-user mean throughput naturally derives the alpha-rule scheme and a whole set of channel-dependent instantaneous scheduling schemes following different fairness criteria. We evaluate the alpha-rule in a multiuser CDMA high data rate (HDR) system with space-time block coding (STBC) or Bell Labs layered space-time (BLAST) multiple-input multiple-output (MIMO) channel. Our evaluation shows that it works efficiently by enabling flexible tradeoff between aggregate throughput, per-user throughput, and per-user resource allocation through a single control parameter. In other words the Alpha-rule effectively fills the performance gap between existing scheduling schemes, such as max-C/I and proportional fairness (PF), and provides an important control knob at the media-access-control (MAC) layer to balance between multiuser diversity gain and location-specific per-user performance.
机译:快速下行链路调度算法在确定高速蜂窝数据系统的整体性能中起着核心作用,其特点是高吞吐量和多个用户之间的公平资源分配。我们基于弹性服务用户之间长期带宽共享的互联网经济所带来的系统效用最大化,提出了一种灵活的依赖信道的下行链路调度方案,称为(加权)α规则。我们显示,该实用程序作为每用户平均吞吐量的函数自然会遵循不同的公平性标准,得出alpha规则方案和整套依赖于信道的瞬时调度方案。我们在具有空时分组编码(STBC)或Bell Labs分层时空(BLAST)多输入多输出(MIMO)通道的多用户CDMA高数据速率(HDR)系统中评估alpha规则。我们的评估表明,它可以通过单个控制参数在总吞吐量,每用户吞吐量和每用户资源分配之间实现灵活的折衷,从而有效地工作。换句话说,Alpha规则有效地弥补了现有调度方案(例如max-C / I和比例公平性(PF))之间的性能差距,并在媒体访问控制(MAC)层提供了重要的控制旋钮来平衡多用户分集增益与特定于位置的每用户性能之间的关系。

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