能效与资源优化的超蜂窝移动通信系统基础研究

牛志升; 龚杰; 周盛

doi:10.3969/j.issn.1000-0801.2014.12.006

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能效与资源优化的超蜂窝移动通信系统基础研究

研究与开发 | 更新时间：2024-06-05

- 能效与资源优化的超蜂窝移动通信系统基础研究
- Research on Energy Efficiency and Resource Optimized Hyper-Cellular Mobile Communication System
- 电信科学 2014年30卷第12期页码：34-47
- 作者机构：
- 作者简介：
  
  [ "牛志升，男，博士，清华大学教授、博士生导师，信息学院副院长，中国电子学会理事、中国通信学会信息通信网络专业委员会副主任、IEICE Fellow,IEEE Fellow，主要研究方向为通信话务理论、排队论、通信网络的流量控制与性能分析、无线网络的资源分配及跨层优化、通信与广播融合网络、绿色通信与网络等" ]
  [ "龚杰，男，博士，清华大学博士后研究员，主要研究方向为绿色通信与网络、动态能量获取与资源优化等" ]
  [ "周盛，男，博士，清华大学助理教授，主要研究方向为多天线系统跨层优化、蜂窝网合作传输、绿色通信与网络等" ]
- 基金信息：
  
  国家重点基础研究发展计划（“973”计划）基金资助项目;The National Key Basic Research Program of China（973 Program）(2012CB316000)
- DOI：10.3969/j.issn.1000-0801.2014.12.006
  中图分类号：
- 网络出版日期：2014-12，
  
  纸质出版日期：2014-12-15
- 稿件说明：
移动端阅览
牛志升, 龚杰, 周盛. 能效与资源优化的超蜂窝移动通信系统基础研究[J]. 电信科学, 2014,30(12):34-47.

Zhisheng Niu, Jie Gong, Sheng Zhou. Research on Energy Efficiency and Resource Optimized Hyper-Cellular Mobile Communication System[J]. Telecommunications science, 2014, 30(12): 34-47.
牛志升, 龚杰, 周盛. 能效与资源优化的超蜂窝移动通信系统基础研究[J]. 电信科学, 2014,30(12):34-47. DOI： 10.3969/j.issn.1000-0801.2014.12.006.

Zhisheng Niu, Jie Gong, Sheng Zhou. Research on Energy Efficiency and Resource Optimized Hyper-Cellular Mobile Communication System[J]. Telecommunications science, 2014, 30(12): 34-47. DOI： 10.3969/j.issn.1000-0801.2014.12.006.

摘要

移动通信网的发展正面临以受限的频谱与能量大幅度提高网络容量的严峻挑战，需要从系统和网络的角度探索频谱与能量的高效利用机理与方法。提出一种全新的超蜂窝体系架构，将网络中的控制信令与业务数据传输在覆盖上进行适度分离，实现资源与业务的弹性匹配，联合优化频谱和能量效率，满足未来移动通信网大容量和低能耗的双重需求。分别介绍了超蜂窝体系架构下的网络能效理论、高能效的传输与网络协作、业务建模与高能效服务，最后给出了超蜂窝系统的演示验证平台。

Abstract

The development of wireless communication networks is now facing severe challenges from limited spectrum resources and stringent energy consumption constraints

which calls for system level theories and methods to efficiently utilizethe spectrum and energy. A novel hyper-cellular mobile communication architecture was proposed

which decoupled the control signaling coverage and traffic service coverage

so that network resources can be smoothly matched with traffic variations. Via the decoupled architecture

spectrum efficiency and energy efficiency can be jointly optimized

meeting the twofold requirements of high capacity and low power consumption for future mobile communications. The network energy efficiency theory

energy efficient transmission and network collaboration technologies

spatial-temporal traffic modeling and green wireless services were introduced

and the demo system of the hyper-cellular architecture was proposed.

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Keywords

references

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