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CROSS-LAYER RESOURCE ALLOCATION ALGORITHMS IN WIRELESS NETWORKS WITH ANTENNA ARRAYS

机译:带有天线阵列的无线网络中的跨层资源分配算法

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摘要

The application of antenna array is a promising approach to improving the capacity of a wireless network. In this dissertation, we study the application of antenna arrays at the base stations (BSs) in a wireless cellular network. We focus on the downlink transmission. This application requires the BSs be aware of the locations and channel conditions of the mobile users. Towards this end, we propose a family of MAC layer protocols that enable a base station to learn the locations and channel conditions of a number of intended users.Our simulation results demonstrate that the inter-cell interference significantly degrades the system performance of the previously proposed beamforming algorithms in terms of packet loss probability (PLP) in a multi-cell environment. To cope with inter-cell interference, we propose beamforming algorithms that achieve target PLP in the presence of random inter-cell interference.The application of antenna array on the physical layer has great impact on the protocols of higher layers. Novel MAC algorithms and protocols need to be designed to take advantage of the capacity enhancement provided by antenna array on the physical layer. In this dissertation, the issue of designing a downlink scheduling policy with base station antenna arrays is studied. We derive an optimal scheduling policy that achieves the throughput region. Then, based on the structure of the derived optimal policy, we propose two heuristic scheduling algorithms.The interference experienced by each node in an ad-hoc network exhibits stochastic nature similar to the inter-cell interference in a cellular network. We propose a power control algorithm in a distributed scheme to achieve target PLP. Furthermore, the proposed power control algorithm is shown to minimize the aggregate transmission power given the PLP constraint.In the above problems, we mainly consider the non-real-time traffic where throughput is the QoS parameter of concern. On the other hand, delay is an important QoS parameter for real time traffic. In this dissertation, we also consider the scheduling of real time packets by a BS with awareness of physical layer channel conditions of different users.
机译:天线阵列的应用是提高无线网络容量的一种有前途的方法。本文研究了天线阵列在无线蜂窝网络基站中的应用。我们专注于下行传输。此应用程序要求BS了解移动用户的位置和信道状况。为此,我们提出了一系列MAC层协议,这些协议使基站能够了解许多目标用户的位置和信道状况。我们的仿真结果表明,小区间干扰会严重降低先前提出的系统性能多分组环境中基于丢包概率(PLP)的波束成形算法。为了应对小区间干扰,我们提出了一种在随机小区间干扰存在的情况下实现目标PLP的波束成形算法。天线阵列在物理层上的应用对高层协议有很大影响。需要设计新颖的MAC算法和协议,以利用物理层上天线阵列提供的容量增强功能。本文研究了利用基站天线阵列设计下行调度策略的问题。我们推导了实现吞吐量区域的最佳调度策略。然后,基于导出的最优策略的结构,我们提出了两种启发式调度算法.ad-hoc网络中每个节点所经历的干扰具有类似于蜂窝网络中小区间干扰的随机性。我们提出了一种分布式方案中的功率控制算法,以实现目标PLP。此外,在给定PLP约束的情况下,所提出的功率控制算法被显示为使总传输功率最小化。在上述问题中,我们主要考虑以吞吐量为关注的QoS参数的非实时流量。另一方面,延迟是实时流量的重要QoS参数。在本文中,我们还考虑了基站在了解不同用户的物理层信道状况的情况下对实时分组的调度。

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  • 作者

    Ren Tianmin;

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  • 年度 2005
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  • 原文格式 PDF
  • 正文语种 en_US
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