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首页> 外文学位 >Adaptive geolocation based interference control for hierarchical cellular network with femtocells.
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Adaptive geolocation based interference control for hierarchical cellular network with femtocells.

机译：具有毫微微小区的分级蜂窝网络的基于自适应地理位置的干扰控制。

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摘要

This thesis presents adaptive interference control methods to mitigate undesirable interference effects from femtocells to macrocell users in hierarchical cellular networks. The study in this thesis begins by quantifying the deterioration in performance experienced by macrocell users on the downlink in a simulated 3G/CDMA environment. Our baseline results show that the median deterioration in signal-to-interference plus noise ratio (SINR) observed for the macrocell users may be up to 10dB and the outage probability increases by large extend.;In the next part of study, we propose interference mitigation schemes---'Proximity Based Iterative' (PBI) scheme and 'Adaptive Interference Scaling' (AIS) scheme to adjust femtocell power to reduce femtocell interference effect on macrocell users. We show that previously studied mechanisms like the load-spillage, utility based power adaptation usually require relatively high system overhead due to over-the-air signalling for estimation of interference. Proposed PBI and AIS schemes avoid such over-the-air signalling and make use of geo-location information and backhaul signalling for the femtocell interference estimation. These schemes achieve power re-distribution by scaling power uniformly across femtocells, while allowing the network operators to set desired target data rates.;Results from simulations show that the PBI and AIS schemes are able to increase the number of macrocell users achieving chosen target data rates by up to 158% when compared with the value when femtocell transmission power is at maximum. However, in case of the PBI scheme, results shows that 25% of femtocell users may receive rates below the target rate. The AIS scheme provides an improvement over the PBI scheme by adjusting femtocell power according to the interference contribution by each femtocell. Thus, AIS achieves better performance and only up to 12:2% of femtocell users receive rates below the target rate.;This study concludes with parametric evaluation of system throughput as a function of both macrocell and femtocell user densities. Qualitative results are provided to support the conclusion.
机译：本文提出了自适应干扰控制方法，以减轻分层蜂窝网络中从毫微微小区到宏小区用户的不良干扰影响。本文的研究始于在模拟的3G / CDMA环境中量化宏小区用户在下行链路上所经历的性能下降。我们的基线结果表明，针对宏小区用户观察到的信号干扰加噪声比（SINR）的中值恶化可能高达10dB，并且中断概率大幅度增加。在下一部分研究中，我们提出了干扰缓解方案-“基于邻近的迭代”（PBI）方案和“自适应干扰缩放”（AIS）方案，用于调整毫微微小区功率，以减少对宏小区用户的毫微微小区干扰影响。我们表明，先前研究的机制（例如，负载溢出，基于公用事业的功率自适应）通常需要相对较高的系统开销，这是由于用于估计干扰的无线信令所致。提议的PBI和AIS方案避免了这种空中信令，并且将地理位置信息和回程信令用于毫微微小区干扰估计。这些方案通过在毫微微小区之间均匀地扩展功率来实现功率重新分配，同时允许网络运营商设置所需的目标数据速率。仿真结果表明，PBI和AIS方案能够增加实现选定目标数据的宏小区用户数量与毫微微小区传输功率最大时的值相比，速率高达158％。但是，在使用PBI方案的情况下，结果表明25％的毫微微小区用户可能会收到低于目标速率的速率。通过根据每个毫微微小区的干扰贡献来调整毫微微小区功率，AIS方案提供了对PBI方案的改进。因此，AIS可以获得更好的性能，并且只有高达12：2％的毫微微小区用户获得低于目标速率的速率。本研究以系统吞吐量作为宏小区和毫微微小区用户密度的函数的参数评估得出结论。提供定性结果以支持结论。

著录项

  • 作者

    Sagari, Shweta.;

  • 作者单位

    Rutgers The State University of New Jersey - New Brunswick.;

  • 授予单位 Rutgers The State University of New Jersey - New Brunswick.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 M.S.
  • 年度 2011
  • 页码 52 p.
  • 总页数 52
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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