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Big Data Perspective and Challenges in Next Generation Networks

机译:下一代网络中的大数据前景和挑战

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With the development towards the next generation cellular networks, i.e., 5G, the focus has shifted towards meeting the higher data rate requirements, potential of micro cells and millimeter wave spectrum. The goals for next generation networks are very high data rates, low latency and handling of big data. The achievement of these goals definitely require newer architecture designs, upgraded technologies with possible backward support, better security algorithms and intelligent decision making capability. In this survey, we identify the opportunities which can be provided by 5G networks and discuss the underlying challenges towards implementation and realization of the goals of 5G. This survey also provides a discussion on the recent developments made towards standardization, the architectures which may be potential candidates for deployment and the energy concerns in 5G networks. Finally, the paper presents a big data perspective and the potential of machine learning for optimization and decision making in 5G networks.
机译:随着向下一代蜂窝网络即5G的发展,重点已转向满足更高的数据速率要求,微蜂窝的潜力和毫米波频谱。下一代网络的目标是非常高的数据速率,低延迟和处理大数据。要实现这些目标,无疑需要更新的体系结构设计,可能提供向后支持的升级技术,更好的安全算法和智能决策能力。在本次调查中,我们确定了5G网络可以提供的机会,并讨论了实施和实现5G目标的潜在挑战。这项调查还讨论了标准化方面的最新进展,可能成为部署潜力的架构以及5G网络中的能源问题。最后,本文提出了大数据的观点以及机器学习在5G网络中进行优化和决策的潜力。

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