协同异构蜂窝层叠网络基础理论与关键技术

doi:10.3969/j.issn.1000-0801.2014.04.006

摘要/Abstract

摘要：

从基础理论和关键技术两方面的研究进展与相关成果介绍首届国家重点基础研究发展计划（“973”计划）青年科学家专题项目——协同异构蜂窝层叠网络基础理论与关键技术。其中，基础理论包括协同异构蜂窝层叠网络的体系架构、信道建模、网络容量域、连接性等问题；关键技术包括协同异构蜂窝层叠网络的干扰管理、资源分配、空白频谱检测与利用等。研究表明，协同异构蜂窝层叠网络下的D2D（device-to-device）通信由于其具有能够进一步增大频谱利用效率、提升系统容量等优点，将发展成为下一代蜂窝网络支持的关键技术。

关键词: 协同异构蜂窝层叠网络, D2D通信, 干扰管理, 无线资源分配

Abstract:

The research progress and contributions about the fundamental theories and key technologies of collaborative heterogeneous underlaying cellular networks were introduced. The fundamental theories include the architecture, capacity region, connectivity problem of the collaborative heterogeneous underlaying networks, while the key technologies consist of interference management, wireless resource management, and exploration and utilization of vacant radio-frequency spectrum. The current study shows that D2D communication in collaborative heterogeneous underlaying cellular networks will become the key technology in the next-generation cellular communication systems because it can further improve the spectrum efficiency and system capacity in wireless communication networks.

Key words: collaborative heterogeneous underlaying cellular network, D2D communication, interference management, wireless resource management

周明昕,许晨,，杨坤,余扬,赵凯飞,宋令阳. 协同异构蜂窝层叠网络基础理论与关键技术[J]. 电信科学, 2014, 30(4): 35-45.

Mingxin Zhou,Chen Xu,Kun Yang,Yang Yu,Kaifei Zhao,Lingyang Song. Collaborative Heterogeneous Underlaying Cellular Networks:Fundamental Theories and Key Technologies[J]. Telecommunications Science, 2014, 30(4): 35-45.

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 5

6	Jnis P , Koivunen V , Ribeiro C , et al. Interference-avoiding MIMO schemes for device-to-device radio underlaying cellular networks. Proceedings of IEEE Personal Indoor and Mobile Radio Communications Symposium（PIMRC）, Tokyo, Japan, 2009
7	Laroia R , Li J , Park V , et al. Toward proximity-aware internetworking. Toward Proximity-Aware Internetworking, 2010, 17(6): 26～33
8	, http://wireless.pku.edu.cn/home/songly/973project/home.html, 2014
9	Song L Y , Xu C , Han Z . Resource Management for Device-to-Device Underlay Communication. Berlin: Springer, 2014
10	Song L Y , Han Z . Device-to-device communications and networks. Proceedings of IEEE Globe Communication Conference（Globecom） Atlanta,USA, 2013
11	Cheng X , Yao Q , Wen M , et al. Wideband channel modeling and ICI cancellation for vehicle-to-vehicle communication systems. IEEE Journal on Selected Areas in Communications, 2013(8)
12	Zhang G , Wang L . Multicast capacity of Ad Hoc networks with transmission uncertainty. Proceedings of ICCC D2D Workshop （Invited）, Xi'an, China, 2013
13	Yao L , Zhang Y J . On the connectivity of underlay Ad-Hoc D2D networks. Proceedings of IEEE ICCC, Xi'an, China, 2013
14	Zhang S , Zhou Q , Kai C , et al. Full diversity physical-layer network coding in two-way relay channels with multiple antennas. IEEE TWC, 2014(4)
15	Zhang S , Liew S , Wang H . Blind known interference cancellation. IEEE JSAC, 2013(8)
16	Xu C , Song L Y , Han Z , et al. Efficiency resource allocation for device-to-device underlay communication systems: a reverse iterative combinatorial auction based approach. IEEE Journal on Selected Areas in Communications, Special Issue “on Peer-to-Peer Networks”, 2013, 31(9): 348～358
17	Ying X , Zhang J , Yan L , et al. Exploring indoor white spaces in metropolises. Proceedings of ACM MOBICOM, Miami,Fl,USA, 2013
1	3GPP. http://www.3gpp.org
2	David K , Dixit S , Jefferies N . 2020 vision the wireless world research forum looks to the future. IEEE Vehicular Technology Magazine, 2010, 5(3): 22～29
3	Zhang J , Roche de la G. Femtocells-Technologies and Deployment. Hoboken: Wiley, 2010
4	Zhang Y J , Letaief K B . An efficient resource allocation scheme for spatial multiuser access in MIMO/OFDM systems. IEEE Transactions on Communications, 2005, 53(1): 107～116
5	Yu C H , Doppler K , Ribeiro C , et al. Performance impact of fading interference to device-to-device communication underlaying cellular networks. Proceedings of IEEE Personal Indoor and Mobile Radio Communications Symposium（PIMRC）, Tokyo, Japan, 2009

[1]	李玉洁. 5G远端干扰分析与解决方案研究[J]. 电信科学, 2022, 38(6): 164-171.
[2]	丁家昕,冯大权,钱恭斌,张楠. 全双工D2D通信关键技术及进展[J]. 电信科学, 2018, 34(5): 107-114.
[3]	石纯子,朱琦. 全双工网络中基于图论的D2D通信资源分配算法[J]. 电信科学, 2018, 34(10): 27-35.
[4]	邱永芳,邱恭安,周永筝. 基于可变距离的车联网D2D通信连接选择[J]. 电信科学, 2017, 33(5): 39-45.
[5]	余翔,张海波,杨路. 混合D2D蜂窝网络中基于模拟退火算法的资源调度策略[J]. 电信科学, 2017, 33(4): 71-77.
[6]	王现超,江帆,孙长印,李晨碧,申斌艳. D2D通信中一种基于FFR的动态功率控制方案[J]. 电信科学, 2016, 32(9): 44-51.
[7]	李建东,刘磊,盛敏,徐超. 面向5G无线网络的智能干扰管理技术[J]. 电信科学, 2016, 32(6): 3-14.
[8]	汪少敏,周斌. 面向5G的D2D簇内信息共享机制[J]. 电信科学, 2016, 32(1): 119-125.
[9]	姚骏,黄清. 蜂窝网络中基于D2D位置的联合模式选择与资源分配方案[J]. 电信科学, 2014, 30(8): 79-83.
[10]	赵国刚,赵力强,杨鲲. 面向移动云计算接入网络的高能效无线资源管理[J]. 电信科学, 2014, 30(7): 53-61.