5G室内密集立体覆盖的计算通信：架构、方法与增益

doi:10.11959/j.issn.1000-0801.2017118

电信科学 ›› 2017, Vol. 33 ›› Issue (6): 41-53.doi: 10.11959/j.issn.1000-0801.2017118

5G室内密集立体覆盖的计算通信：架构、方法与增益

程锦堃¹,陈巍¹,石远明²

¹ 清华大学电子工程系，北京 100084
² 上海科技大学信息科学与技术学院，上海 201210

修回日期:2017-04-28 出版日期:2017-06-01 发布日期:2017-06-27
作者简介:程锦堃（1991?），女，清华大学电子工程系硕士生，主要研究方向为云无线接入网络、移动云计算与大规模优化理论。|陈巍（1980?），男，清华大学电子工程系教授、博士生导师，北京市青年联合会委员，清华大学校务委员会委员、校学位办公室主任，“电子与通信工程”学位评定分委员会副主席，国家“973”计划青年科学专题项目首席科学家、国家自然科学基金优秀青年科学基金获得者，国家“万人计划”领军人才，教育部新世纪、北京市科技新星计划入选者，“全国五一劳动奖章”“北京青年五四奖章”“北京市优秀青年人才”“北京市优秀教师”荣誉称号获得者，主要研究方向为信息论。|石远明（1987?），男，上海科技大学信息科学与技术学院助理教授、博士生导师、研究员，主要研究方向为密集无线网络、计算大数据分析、移动云（雾）计算、物联网及触感网络、大规模优化理论与算法、黎曼优化。
基金资助:
国家重点基础研究发展计划（“973”计划）青年科学家专题基金资助项目(2013CB336600);国家自然科学基金资助项目(61671269);国家自然科学基金资助项目(61621091)

Computational communication for three-dimensional dense coverage in 5G systems:architecture,approach and gain

Jinkun CHENG¹,Wei CHEN¹,Yuanming SHI²

¹ Department of Electronic Engineering,Tsinghua University,Beijing 100084,China
² School of Information Science and Technology,Shanghai Tech University,Shanghai 201210,China

Revised:2017-04-28 Online:2017-06-01 Published:2017-06-27
Supported by:
The National Basic Research Program of China (973 Program)Youth Project(2013CB336600);The National Natural Science Foundation of China(61671269);The National Natural Science Foundation of China(61621091)

摘要/Abstract

摘要：

提出了一种新型的室内密集立体覆盖的计算通信一体化架构，通过挖掘信道计算、容量计算以及网络资源优化计算之间的内在联系，并利用基于云计算和雾计算的密集分布式接入网络的优势，该架构完成了计算电磁学、计算信息论与大规模优化理论到计算通信理论的深度融合。介绍了该架构的实现方法，即以密集异构分布式无线接入网络作为通信接入网络基础架构，利用分布式的计算资源结合计算电磁学理论实现并行化的信道计算，据此进一步依据计算信息论实现容量计算，并基于大规模优化理论完成多用户的网络资源优化计算，最终实现由传播环境到信道容量与资源分配的计算通信。

关键词: 计算通信, 大规模网络优化, 云无线接入网, 雾无线接入网, 云计算, 雾计算

Abstract:

An integrated mobile computational communication architecture for three-dimensional dense coverage in indoor environment was proposed,and the proposed network architecture thus unified the computational electromagnetics,computational information theory and large-scale optimization into computational communication theory.Moreover,the implementation of the architecture was introduced.Specifically,the dense heterogeneous distributed radio access network was served as the wireless radio access network for the proposed computational communication architecture.Furthermore,computational electromagnetics based on channel propagation computing was implemented in parallel using the distributed computation resources.Given the exact channel propagation coefficients,the computational information theory based on channel capacity computation,as well as large-scale optimization based on multiuser network resource allocation were also achieved by the powerful computation resources.The proposed computational communication theory can thus compute the channel capacity and design power allocation scheme directly from propagation environment.

Key words: computational communication, large-scale optimization, cloud radio access network, fog radio access network, cloud computing, fog computing

中图分类号:

TP393

程锦堃,陈巍,石远明. 5G室内密集立体覆盖的计算通信：架构、方法与增益[J]. 电信科学, 2017, 33(6): 41-53.

Jinkun CHENG,Wei CHEN,Yuanming SHI. Computational communication for three-dimensional dense coverage in 5G systems:architecture,approach and gain[J]. Telecommunications Science, 2017, 33(6): 41-53.

图/表 14

图1

图2

图3

图4

图5

图6

图7

图8

图9

图10

图11

图12

图13

图14

参考文献 33

[1]	陈巍, 王东明, 王家恒 ,等. 密集立体覆盖:未来移动通信的机遇和挑战[J]. 电信科学, 2013,29(6): 2-9.
	CHEN W , WANG D M , WANG J H ,et al. 3-dimensional dense coverage:opportunities and challenges for future mobile communications[J]. Telecommunications Science, 2013,29(6): 2-9.
[2]	CHEN S , QIN F , HU B ,et al. User-centric ultra-dense networks for 5G:challenges,methodologies,and directions[J]. IEEE Wireless Communications, 2016,23(2): 78-85.
[3]	China Mobile Research Institute C-RAN:the road towards green RAN[R/OL].(2011-10-01)[2017-04-05]. .
[4]	雷秋燕, 张治中, 程方 ,等. 基于 C-RAN 的 5G 无线接入网架构[J]. 电信科学, 2015,31(1): 112-121.
	LEI Q Y , ZHANG Z Z , CHENG F ,et al. 5G radio access network architecture based on C-RAN[J]. Telecommunications Science, 2015,31(1): 112-121.
[5]	尹博南, 艾元, 彭木根 . 雾无线接入网:架构、原理和挑战[J]. 电信科学, 2016,32(6): 20-27.
	YIN B N , AI Y , PENG M G . Fog computing based radio access networks:architecture,principles and challenges[J]. Telecommunications Science, 2016,32(6): 20-27.
[6]	SHI Y , ZHANG J , LETAIEF K B ,et al. Large scale convex optimization for ultra-dense Cloud-RAN[J]. IEEE Wireless Communications, 2015,22(6): 84-91.
[7]	张建敏, 谢伟良, 杨峰义 ,等. 移动边缘计算技术及其本地分流方案[J]. 电信科学, 2016,32(7): 132-139.
	ZHANG J M , XIE W L , YANG F Y ,et al. Mobile edge computing and application in traffic offloading[J]. Telecommunications Science, 2016,32(7): 132-139.
[8]	WHITE T . Hadoop:the definitive guide,4th edition[M]. Sebastopol CA: O’Reilly MediaPress, 2015.
[9]	ZAHARIA M , CHOWDHURY M , FRANKLIN M J ,et al. Spark:cluster computing with working sets[C]// Usenix Conference on Hot Topics in Cloud Computing,June 22-25,2010,Boston,USA. New York:ACM Press, 2010:10.
[10]	SEIDEL S Y , RAPPORT T S . Site-specific propagation prediction for wireless in-building personal communication system design[J]. IEEE Transactions on Vehicular Technology, 1994,43(4): 879-891.
[11]	TAFLOVE A . Computational electrodynamics:The finite-difference time-domain method[M]. Norwood MA: Artech HousePress, 1995.
[12]	BLAHUT R E . Computation of channel capacity and rate-distortion functions[J]. IEEE Transactions on Information Theory, 1972,18(4): 460-473.
[13]	ARIMOTO S . An algorithm for computing the capacity of arbitrary discrete memoryless channels[J]. IEEE Transactions on Information Theory, 1972,18(1): 14-20.
[14]	CHENG J , SHI Y , BAI B ,et al. Group sparse beamforming for multicast green Cloud-RAN via parallel semidefinite programming[C]// IEEE International Conference on Communications (ICC),June 8-12,2015,London,UK. New Jersey:IEEE Press, 2015: 1886-1891.
[15]	DEAN J , GHEMAWAT S . Mapreduce:simplified data processing on large clusters[C]// Conference on Symposium on Operating System Design ＆ Implementation (OSDI),December 6-8,2004,San Francisco,USA. New York:ACM Press, 2004: 137-150.
[16]	BOYD S , PARIKH N , CHU E ,et al. Distributed optimization and statistical learning via the alternating direction method of multipliers[J]. Foundations and Trends in Machine Learning, 2011,3(1): 1-122.
[17]	DONOGHUE B , CHU E , PARIKH N ,et al. Conic optimization via operator splitting and homogeneous self-dual embedding[J]. Journal of Optimization and Application, 2013,169(3): 1-27.
[18]	TSE D , VISWANATH P . Fundamentals of wireless communications[M]. Cambridge: Cambridge University PressPress, 2005.
[19]	DUMANLI S , RAILTON C J , PAUL D L . FDTD channel modeling with time domain huygens’ technique[C]// European Conference on Antenna ＆ Propagation (EUCAP),April 11-15,2011,Rome,Italy. New Jersey:IEEE Press, 2011: 86-89.
[20]	ATHANASIADOU G E , NIX A R , MCGEEHAN J P . A microcellular ray-tracing propagation model and evaluation of its narrow-band and wide-band predictions[J]. IEEE Journal on Selected Areas in Communications, 2000,18(3): 332-335.
[21]	AZPILICUETA L , RAWAT M , RAWAT K ,et al. A ray launching-neural network approach for radio wave propagation analysis in complex indoor environment[J]. IEEE Transactions on Antennas and Propagation, 2014,62(5): 2777-2786.
[22]	KOUYOUMJIAN R G , PATHAK P H . A uniform geometric theory of diffraction for an edge on a perfectly conducting surface[J]. Proceedings of the IEEE, 1974,62(11): 1448-1461.
[23]	GOLDSMITH A . Wireless communications[M]. Cambridge: Cambridge University PressPress, 2005.
[24]	DAUWELS J , . Numerical computation of the capacity of continuous memoryless channels[C]// Symposium on Information Theory,May 19-20,2005,Benelux,Belgium.[S.l.:s.n. ], 2005: 221-228.
[25]	OECHTERING T , SKOGLUND M . Bidirectional broadcast channel with random states noncausally known at the encoder[J]. IEEE Transactions on Information Theory, 2013,59(1): 64-75.
[26]	AVESTIMEHR A S , DIGGAVI S N , TSE D N C . Wireless network information flow:a deterministic approach[J]. IEEE Transactions on Information Theory, 2011,57(4): 1872-1905.
[27]	YEUNG R W . A framework for linear information inequalities[J]. IEEE Transactions on Information Theory, 1997,43(6): 1924-1934.
[28]	HAN I , MALIOUTOV D , SHIN J . Large-scale log-determinant computation through stochastic chebyshev expansions[J]. Computer Science, 2015: 908-917.
[29]	DAHROUJ H , YU W . Coordinated beamforming for the multicell multi-antenna wireless system[J]. IEEE Transactions on Wireless Communications, 2010,9(5): 1748-1759.
[30]	ZHOU X , BAI B , CHEN W . Antenna selection in energy efficient MIMO:a survey[J]. China Communications, 2015,12(9): 162-173.
[31]	DAI B , YU W . Sparse beamforming and user-centric clustering for downlink cloud radio access network[J]. IEEE Access, 2014(2): 1326-1339.
[32]	CHEN W . CAO-SIR:channel aware ordered successive relaying[J]. IEEE Transactions on Wireless Communications, 2014,13(12): 6513-6527.
[33]	LUO Z , MA W , SO A M ,et al. Semidefinite relaxation of quadratic optimization problems[J]. IEEE Transactions on Signal Processing Magazine, 2010,27(3): 20-34.

5G室内密集立体覆盖的计算通信：架构、方法与增益

Computational communication for three-dimensional dense coverage in 5G systems:architecture,approach and gain

在线阅读

PDF下载

可视化

摘要/Abstract

引用本文

使用本文

图/表 14

参考文献 33

相关文章 15

Metrics

推荐阅读 0

[1]	韩雪. 基于电力大数据的电力骨干通信网络毁伤韧性评估方法[J]. 电信科学, 2023, 39(5): 136-143.
[2]	邢文娟, 雷波, 赵倩颖. 算力基础设施发展现状与趋势展望[J]. 电信科学, 2022, 38(6): 51-61.
[3]	邓平科, 张同须, 施南翔, 张童, 邵天竺, 郑韶雯. 星算网络——空天地一体化算力融合网络新发展[J]. 电信科学, 2022, 38(6): 71-81.
[4]	邬江兴. 论网络技术体制发展范式的变革——网络之网络[J]. 电信科学, 2022, 38(6): 3-12.
[5]	马焜, 徐玲玉, 沈晓萍, 龚志城, 蓝建平, 陈双喜, 钱钧. 云计算中基于Shapley值改进遗传算法的虚拟机调度模型[J]. 电信科学, 2022, 38(12): 1-10.
[6]	刘志勇, 何忠江, 阮宜龙, 单俊峰, 张超. 大数据安全特征与运营实践[J]. 电信科学, 2021, 37(5): 160-169.
[7]	许剑,靳莉. 一种可量化的云计算平台安全评估模型[J]. 电信科学, 2020, 36(7): 163-167.
[8]	惠宁,伍杰,周一青,刘玲,潘振岗. 未来车辆雾计算网络[J]. 电信科学, 2020, 36(6): 14-27.
[9]	罗斯宁,王化龙,李弘宇,彭蔚. 基于改进蚁群算法的云计算用户任务调度算法[J]. 电信科学, 2020, 36(2): 95-100.
[10]	张贤,曹雪妍,刘炳宏,艾元,刘晨熙. 6G智慧雾无线接入网：架构与关键技术[J]. 电信科学, 2020, 36(1): 3-10.
[11]	雷波, 刘增义, 王旭亮, 杨明川, 陈运清. 基于云、网、边融合的边缘计算新方案：算力网络[J]. 电信科学, 2019, 35(9): 44-51.
[12]	涂山山,于金亮,孟远,WWAQAS M,刘雷. 面向5G雾计算中基于Q-learning的安全中继节点选择方法[J]. 电信科学, 2019, 35(7): 60-68.
[13]	高永梅,程冠杰. 基于边缘计算的数据密集型服务部署[J]. 电信科学, 2019, 35(7): 87-99.
[14]	鲁泽霖,李强治. 电子商务平台的演化逻辑和运营机理[J]. 电信科学, 2019, 35(7): 152-158.
[15]	黄志兰,樊勇兵,樊宁,陈楠,吴林泽,林宝洪. 云资源池集成虚拟防火墙方案及关键技术[J]. 电信科学, 2019, 35(5): 140-148.