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Analysis of energy consumption and latency in advanced wireless networks through DRX mechanism

机译:通过DRX机制分析高级无线网络中的能耗和延迟

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摘要

Ever-increasing need for high data rate and wide penetration of subscriber base are the need for the constant evolution of transmission of mobile traffic data. The global mobile-manufacturing industry is growing rapidly. Energy consumption by wireless communication systems is a vital concern in the present world, not merely to reduce energy consumption but also to mitigate environmental degradation due to effluence caused by extreme energy consumption. While Long Term Evolution-Advanced (LTE-A) method is a standardized fourth-generation portable communication tool for the compelling demands for rapid wireless communication, the extreme energy consumption during the high-speed processing signal on LTE-A user equipment (UE) is a key concern to be addressed for its effective implementation. The discontinuous reception (DRX) based on two contradicting parameters, namely energy consumption and latency, can be optimized for the efficient utilization of UE with optimal energy consumption. Stochastic-based Markov model has been selected to model the randomly changing communication process. The present study analyses the influence of arrival rate, short cycle, long cycle and timer value of short cycle on energy consumption. The present analysis is also focused to build up a systematic model to estimate latency and energy-saving utilized by DRX method for active mobile data traffic. The results indicate that short cycle period of DRX is very effective in reducing latency for active data traffic, and optimal selection of values for various operating parameters can maintain low latency in addition to considerable energy-saving.
机译:不断增加的高数据速率和广泛渗透的需求是需要恒定的移动流量数据传输的演变。全球移动制造业正在迅速增长。无线通信系统的能源消耗在本世界中是至关重要的,而不仅仅是降低能耗,而且还可以减轻由于极端能量消耗引起的流出引起的环境劣化。虽然长期演进 - 先进的(LTE-A)方法是标准化的第四代便携式通信工具,用于对快速无线通信的令人信服的需求,LTE-A用户设备上的高速处理信号期间的极端能耗(UE)是有效实施的关键问题。基于两个相互矛盾的参数,即能量消耗和延迟的不连续接收(DRX)可以优化,以便有效利用UE具有最佳的能量消耗。已选择基于随机的Markov模型来模拟随机更改的通信过程。本研究分析了短期到达率,短周期,长周期和定时器值对能量消耗的影响。本分析还集中于建立系统模型来估计通过DRX方法用于主动移动数据流量的延迟和节能。结果表明,DRX的短循环周期在减少有效数据流量的延迟中非常有效,并且除了相当大的节能之外,各种操作参数的最佳选择可以保持低延迟。

著录项

  • 来源
    《Journal of supercomputing》 |2020年第5期|3765-3787|共23页
  • 作者单位

    Anna Univ Coll Engn Guindy Dept Elect & Commun Engn Chennai 600025 Tamil Nadu India;

    Anna Univ Coll Engn Guindy Dept Elect & Commun Engn Chennai 600025 Tamil Nadu India;

    Anna Univ Coll Engn Guindy Dept Mech Engn Chennai 600025 Tamil Nadu India;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    DRX; LTE-A; LTE; Latency; Energy consumption; Markov chain; Semi-Markov process;

    机译:DRX;LTE-A;LTE;延迟;能量消耗;马尔可夫链;半马尔可夫进程;
  • 入库时间 2022-08-18 21:28:30

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