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Adaptive multiobjective optimisation for energy efficient interference coordination in multicell networks

机译:自适应多目标优化,用于多小区网络中的高能效干扰协调

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摘要

In this paper, the authors investigate the distributed power allocation for the multicell orthogonal frequency division multiple access networks by taking both the energy efficiency and the intercell interference (ICI) mitigation into account. A performance metric termed as throughput contribution is exploited to measure how the ICI is effectively coordinated. To achieve a distributed power allocation scheme for each base station (BS), the throughput contribution of each BS to the network is first given based on a pricing mechanism. Different from the existing works, a biobjective problem is formulated based on the multiobjective optimisation theory, which aims at maximising the throughput contribution of the BS to the network and minimising its total power consumption at the same time. By using the method of the Pascoletti and Serafini scalarisation, the relationship between the varying parameters and the minimal solutions is revealed. Furthermore, to exploit the relationship an algorithm is proposed based on which all the solutions on the boundary of the efficient set can be achieved by adaptively adjusting the involved parameters. With the obtained solution set, the decision maker has more choices in the power allocation schemes in terms of both the energy consumption and the throughput. Finally, the performance of the algorithm is assessed by the simulation results.
机译:在本文中,作者通过同时考虑了能源效率和小区间干扰(ICI)缓解问题,研究了多小区正交频分多址网络的分布式功率分配。利用一种称为吞吐量贡献的性能指标来衡量ICI的有效协调方式。为了实现用于每个基站(BS)的分布式功率分配方案,首先基于定价机制给出每个BS对网络的吞吐量贡献。与现有工作不同的是,基于多目标优化理论提出了一个双目标问题,其目的是使基站对网络的吞吐量贡献最大,同时使基站的总功耗最小。通过使用Pascoletti和Serafini标量化的方法,揭示了变化的参数与最小解之间的关系。此外,为了利用这种关系,提出了一种算法,在该算法的基础上,可以通过自适应地调整所涉及的参数来获得有效集边界上的所有解。利用获得的解决方案集,决策者在能耗和吞吐量方面都可以在功率分配方案中有更多选择。最后,通过仿真结果评估了算法的性能。

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  • 来源
    《Communications, IET》 |2014年第8期|1374-1383|共10页
  • 作者

    Fei Z.; Xing C.; Li N.; Kuang J.;

  • 作者单位

    School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, People's Republic of China|c|;

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  • 正文语种 eng
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