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Optimal resource management in mobile communication networks for energy efficiency

Optimal resource management in mobile communication networks for energy efficiency
移动通信网络中的优化资源管理以提高能源效率
批准号:
RGPIN-2019-06375
负责人:
Wang, Ping
金额:
$2.84万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2020
资助国家:
加拿大
项目状态:
已结题
起止时间:
2020-01-01 至 2021-12-31

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中文摘要
翻译
在过去的几年里,由于能源成本的上升和温室气体排放对环境的严重影响,能源效率已经成为一个关键问题。据透露,仅移动通信网络每年就消耗约600亿千瓦时。能源消耗将直接转化为二氧化碳排放、全球变暖、温室气体排放和干扰污染,对环境产生巨大影响。此外,从经济角度来看,能源消耗也是一个问题,因为电力费用趋于增加。能源成本占移动运营商运营费用的一半之多。环境保护的责任和降低运营费用的激励都促使网络运营商寻找降低网络能耗的解决方案,这一目标激发了创新研究。
英文摘要
Energy efficiency has become a key issue in the last few years due to the rising energy costs and serious environmental impacts of greenhouse gas emissions. It has been revealed that the mobile communication networks alone consume approximately 60 billion kWh per year. The energy consumption will directly translate into CO2 emission, global warming, greenhouse gas emission, and interference pollution all with a huge impact on the environment. Furthermore, the energy consumption is also a concern from an economic perspective as expenses for electricity tend to increase. Energy costs account for as much as half of a mobile operator's operational expenses. Both the responsibility of environmental protection and the incentive to lower the operational expenses have motivated network operators to find solutions to reduce energy consumption of their networks, and that objective stimulates innovative research. However, most of the research efforts in addressing the energy saving issue are from the individual device or end user's perspective, and the works that deal with the entire network are somewhat preliminary with simple traffic/network models and do not rigorously analyze the effect of interventions on quality-of-service (QoS). The current networks are typically designed and deployed to accommodate peak traffic load, and the power consumption on their elements is unnecessarily high under low traffic load. This shows great potential for improvement of energy efficiency from network perspective. This research will tackle the energy efficiency issue of mobile communication networks from network perspective. The objectives are to develop novel network management technologies to dynamically adjust the power consumption of network facilitates, adaptive to traffic load variations over time, and propose new network planning and deployment strategies, taking not only spectral efficiency and coverage, but also energy efficiency into account. We will also investigate the impact of the proposed energy efficiency mechanisms on QoS perceived by users, and study the tradeoff between the energy efficiency and QoS. The technologies developed from this research will enable mobile communication networks with unprecedented energy efficiency and significant reduction in environment pollution, therefore making considerable contribution to developing a “green” Canada. The substantial reduction of network energy consumption will also yield large cost savings for mobile network operators. The cutting-edge research will generate new ideas and techniques, which are expected to spawn new revenue sources for the Canada telecommunication industry and also great social payback. This research program will produce HQP training for graduate and undergraduate students who will become scientists/engineers for critical Canadian industrial sectors related to information and communications technologies as well as contribute talent to academia.
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Optimal resource management in mobile communication networks for energy efficiency
  • 批准号:
    RGPIN-2019-06375
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.84万
  • 财政年份:
    2022
  • 负责人:
    Wang, Ping
  • 依托单位:
Optimal resource management in mobile communication networks for energy efficiency
  • 批准号:
    RGPIN-2019-06375
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.84万
  • 财政年份:
    2021
  • 负责人:
    Wang, Ping
  • 依托单位:
Optimal resource management in mobile communication networks for energy efficiency
  • 批准号:
    RGPIN-2019-06375
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.84万
  • 财政年份:
    2019
  • 负责人:
    Wang, Ping
  • 依托单位:
Computational graph theory
  • 批准号:
    155532-2003
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $0.66万
  • 财政年份:
    2009
  • 负责人:
    Wang, Ping
  • 依托单位:
国内基金
海外基金
协同中继系统跨层资源分配与优化调度的理论及方法
  • 批准号:
    60972070
  • 项目类别:
    面上项目
  • 资助金额:
    33.0万元
  • 批准年份:
    2009
  • 负责人:
    陈前斌
  • 依托单位:
横断山区淡水三肠目涡虫资源及分类学研究
  • 批准号:
    30670247
  • 项目类别:
    面上项目
  • 资助金额:
    27.0万元
  • 批准年份:
    2006
  • 负责人:
    陈广文
  • 依托单位: