面向未来6G网络的绿色通信感知计算技术*

doi:10.12267/j.issn.2096-5931.2022.11.005

信息通信技术与政策 ›› 2022, Vol. 48 ›› Issue (11): 30-38.doi: 10.12267/j.issn.2096-5931.2022.11.005

面向未来6G网络的绿色通信感知计算技术^*

Towards green integration of communications, sensing and computation in future 6G

胡杰, 杨鲲

电子科技大学信息与通信工程学院,成都 611731

收稿日期:2022-09-05 出版日期:2022-11-15 发布日期:2022-12-01
作者简介:
胡杰电子科技大学信息与通信工程学院研究员,博士生导师,入选电子科技大学“百人计划”,主要从事6G移动通信、通感算融合、无线数据与能量一体化传输技术、人工智能算法等方面的研究工作|杨鲲电子科技大学信息与通信工程学院教授,博士生导师,欧洲科学院院士,主要研究领域为无线网络和通信、未来互联网技术、无线数据和能量一体化通信网络、通信、感知、计算融合技术等
基金资助:
^?国家重点研发计划专项项目(2021YFB2900200)

HU Jie, YANG Kun

School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China

Received:2022-09-05 Online:2022-11-15 Published:2022-12-01

摘要/Abstract

摘要：

为支持智慧城市、智慧工业等重大应用,未来6G网络需要满足海量数据由“端(传感设备)”到“边(接入基站)”的可靠传输;还需要完成原始数据的清洗与计算,实现精准环境态势感知。但接入基站侧和传感设备侧的巨大能量消耗,严重影响通信感知计算任务的可持续执行。将以“绿色”为目标,提出缩短计算流程、灵活网络部署和主动能量传输三个方面实现6G通感算的节流与开源,响应国家“碳达峰”“碳中和”的重大战略需求。

关键词: 6G移动网络, 绿色通感算, 空中计算, 无人机网络, 无线能量传输

Abstract:

In order to support important applications of smart cities and smart industry, future 6G mobile communication networks have to accommodate a tremendous volume of data traffic from sensing devices and base stations. Moreover, they also have to provide the computational capability for data cleansing and data processing for the sake of achieving accurate environment and state sensing. However, data collection and environment sensing consume huge communication and computation energy both on the network side and on the device side. It severely damages the sustainability of communication, computation and sensing tasks. In this article, we aim for reducing the energy consumption of communication, computation and sensing and for realizing green 6G networks. To this end, we briefly introduce some key enabling techniques, such as shortening the computation process, flexible networking and active wireless power transfer. We hope that it may intrigue more research interests in this fascinating topic.

Key words: 6G mobile networks, green communication, sensing and computation, air computing, flexible networking, wireless power transfer

中图分类号:

TN929.11

胡杰, 杨鲲. 面向未来6G网络的绿色通信感知计算技术^*[J]. 信息通信技术与政策, 2022, 48(11): 30-38.

HU Jie, YANG Kun. Towards green integration of communications, sensing and computation in future 6G[J]. Information and Communications Technology and Policy, 2022, 48(11): 30-38.

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链接本文:

http://ictp.caict.ac.cn/CN/10.12267/j.issn.2096-5931.2022.11.005

http://ictp.caict.ac.cn/CN/Y2022/V48/I11/30

图/表 6

图1 传统感知通信计算流程(a)与空中计算流程(b)的对比

图2 基于空中计算的6G物联感知通信计算系统

表1 空中计算中的计算函数举例

计算函数	g_k	f	q
算术平均	$g k = d k$	$f = 1 / K$	$q = ∑ k = 1 K d k / K$
加权和	$g k = ? k d k$	$f = 1$	$q = ∑ k = 1 K ? k d k$
几何平均	$g k = l n (d k)$	$f = e x p (·)$	$q = ∏ k = 1 K d k 1 / K$
多项式	$g k = ? k d k β k$	$f = 1$	$q = ∑ k = 1 K ? k d k β k$
欧式范数	$g k = d k 2$	$f = (·)$	$q = ∑ k = 1 K d k 2$

表1 空中计算中的计算函数举例

计算函数	g_k	f	q
算术平均	$g k = d k$	$f = 1 / K$	$q = ∑ k = 1 K d k / K$
加权和	$g k = ? k d k$	$f = 1$	$q = ∑ k = 1 K ? k d k$
几何平均	$g k = l n (d k)$	$f = e x p (·)$	$q = ∏ k = 1 K d k 1 / K$
多项式	$g k = ? k d k β k$	$f = 1$	$q = ∑ k = 1 K ? k d k β k$
欧式范数	$g k = d k 2$	$f = (·)$	$q = ∑ k = 1 K d k 2$

图3 面向绿色通感算一体化的基于固定基站(a)和基于无人机的边缘感知计算平台(b)对比

图4 基于电池供电(a)和基于无线射频能量传输(b)的绿色通信感知计算传能一体化系统

图5 基于无线射频充能的通信感知计算一体化系统帧结构(a)和物联传感设备操作流程(b)

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面向未来6G网络的绿色通信感知计算技术^*

Towards green integration of communications, sensing and computation in future 6G

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