非时齐多元协同通信：虚拟实时服务理论及应用

doi:10.3969/j.issn.1000-0801.2014.07.008

摘要/Abstract

摘要：

提出一种全新通信服务体制——虚拟实时服务，可有效发掘和利用负时间轴上蕴含的大量空闲时、频资源，并利用预先推送较大的时延容忍，人为制造业务趋同性，获取无线多播带来的巨大能效和谱效增益。介绍了虚拟实时服务在认知对象、时间尺度、协同范围3个层面的拓展，阐明其能效和谱效增益的代价是计算和存储资源的消耗，从而需要通过计算（含认知）、存储和通信单元的多元协同，以最少计算和存储资源，换取能效和谱效的最大提升。虚拟实时服务有望突破现有通信体制及其理论基础对于资源效率的内在束缚。其两大特质——“非时齐”和“多元协同”的结合，有望形成一种创新的非时齐多元协同通信理论。

关键词: 无线通信, 虚拟实时服务, 多元协同通信, 频谱效率, 认知无线网络, 5G

Abstract:

A novel communication service methodology, virtual real-time service, was proposed to discover and utilize the rich temporal and spectrum resource hidden in the negative time axis. Thanks to the delay tolerance of embedded wireless pushing,it could help to unify the content demand of different users,so as to achieve significant spectral and energy efficiency gains of wireless multicasting. The three extensions of cognition object, time scale, and coordination range, induced by virtual real-time service were described. The consumption of computation and storage resource was a cost to be paid for the gains of the energy and spectral efficiency.Hence,the multi-unit collaboration of computation （including cognition）, storage, and communications units was highly desired to minimize the cost of computation and storage resource, while maximize the energy and spectral efficiency gains. The proposed scheme holds the promise of overcoming the stringent restrain on the spectral efficiency,which is caused by the current communication architecture and its underlying theory. The union of its two main characteristics, namely, time non-homogenous transmission and multi-unit collaboration,are expected to form a paradigm-shift theory on time non-homogenous multi-unit collaboration communications.

Key words: wireless communication, virtual real-time service, multi-unit collaborative communication, spectrum efficiency, cognitive wireless network, 5G

陈巍. 非时齐多元协同通信：虚拟实时服务理论及应用[J]. 电信科学, 2014, 30(7): 43-52.

Wei Chen. When multiple cooperative communication: virtual real-time service theory and application[J]. Telecommunications Science, 2014, 30(7): 43-52.

图/表 5

参考文献 24

1	Shannon C . Mathematical Theory of Communication. Illinois: University Illinois Press, 1963
2	Tse D , Viswanath P . Fundamentals of Wireless Communication. Cambridge: Cambridge University Press, 2005
3	Gupta P , Kumar P R . The capacity of wireless networks. IEEE Transactions on Information Theory, 2000,46 (2): 388～404
4	Akyildiz I F , Wang X , Wang W . Wireless mesh networks: a survey. Computer Networks, 2005,47 (4): 445～487
5	Richardson T J , Shokrollahi M A , Urbanke R L . Design of capacity-approaching irregular low-density parity-check codes. IEEE Transactions on Information Theory, 2001,47 (2): 619～637
6	Berrou C , Glavieux A . Near optimum error correcting coding and decoding: Turbo-codes. IEEE Transactions on Communications, 1996,44 (10): 1261～1271
7	Goldsmith A J , Chua S G . Variable-rate variable-power MQAM for fading channels. IEEE Transactions on Communications, 1997,45 (10): 1218～1230
8	Foschini G J , Gans M J . On limits of wireless communications in a fading environment when using multiple antennas. Wireless Personal Communications, 1998,6 (3): 311～335
9	Alamouti S . A simple transmit diversity technique for wireless communications. IEEE Journal on Selected Areas in Communications, 1998 16 (8): 1451～1458.
10	Karakayali M K , Foschini G J , Valenzuela R A . Network coordination for spectrally efficient communications in cellular systems. Wireless Communications, IEEE, 2006,13 (4): 56～61
11	Cadambe V R , Jafar S A . Interference alignment and degrees of freedom of the-user interference channel. IEEE Transactions on Information Theory, 2008,54 (8): 3425～3441
12	Chen W , Letaief K B , Cao Z . A cross layer method for interference cancellation and network coding in wireless networks. Proceedings of IEEE International Conference on Communications, 2006, ICC'06, IEEE, 2006: 3693～3698
13	Katti S , Rahul H , Hu W ,et al. XORs in the air: practical wireless network coding. IEEE/ACM Transactions on Networking （TON）, 2008,16 (3): 497～510
14	Akyildiz I F , Lee W Y , Vuran M C ,et al. Next generation／dynamic spectrum access／cognitive radio wireless networks: a survey. Computer Networks, 2006,50 (13): 2127～2159
15	Zhao Q , Sadler B M . A survey of dynamic spectrum access. Signal Processing Magazine, IEEE, 2007,24 (3): 79～89.
16	Haykin S . Cognitive radio: brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications, 2005,23 (2): 201～220.
17	Gutierrez F , Agarwal S , Parrish K ,,et al. On-chip integrated antenna structures in CMOS for 60 GHz WPAN systems. IEEE Journal on Selected Areas in Communications, 2009, 27 (8): 1367～1378.
18	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. 电信科学， 2013,29 (6): 2～9
19	Andrews M R , Mitra P P . Tripling the capacity of wireless communications using electromagnetic polarization. Nature, 2001,409 (6818): 316～318
20	Liu J , Chen W , Cao Z , et al. Cooperative beamforming for cognitive radio networks: a cross-layer design. IEEE Transactions on Communications, 2012,60 (5): 1420～1431
21	Wang X , Chen W , Cao Z . ARCOR: agile rateless coded relaying for cognitive radios. EEE Transactions on Vehicular Technology, 2011,60 (6): 2777～2789
22	Wang X , Liu J , Chen W , et al. CORE-4: cognition oriented relaying exploiting 4-D spectrum holes. Wireless Communications and Mobile Computing Conference （IWCMC）, 2011 7th International, IEEE, Turkey, Istanbul, 2011:1982～1987
23	Franceschetti M , Migliore D , Minero P . The capacity of wireless networks: information-theoretic and physical limits. IEEE Transactions on Information Theory, 2009,55 (8): 3413～3424
24	Hou I H , Borkar V , Kumar P R . A theory of QoS for wireless. Proceedings of INFOCOM 2009,IEEE, Brazil,Rio de Janeiro, 2009

[1]	王妍, 彭莹. 国际电信联盟（ITU）6G标准化研究[J]. 电信科学, 2023, 39(6): 129-138.
[2]	张辰, 王红凯, 毛冬, 潘司晨, 赵帅. 面向电力终端的轻量化5G硬加密通信模组研究及应用[J]. 电信科学, 2023, 39(6): 159-169.
[3]	许浩, 吴琳. 基于5G网络的VoWi-Fi互操作研究[J]. 电信科学, 2023, 39(5): 144-154.
[4]	丁青锋, 王松. 高铁场景下联合天线与IOS单元选择的分布式IOS-SM传输方案[J]. 电信科学, 2023, 39(4): 31-42.
[5]	蒋跃宇, 承昊新, 王康, 戴文骏, 刘笑宇. PLC-RF无线传输网络中的能效最优设计方法[J]. 电信科学, 2023, 39(4): 111-119.
[6]	王建斌, 王淑春, 廖尚金, 施淑媛. 基于DCNN-LSTM负荷预测算法的5G基站节能系统研究[J]. 电信科学, 2023, 39(4): 133-141.
[7]	张乐, 马洪源. 运营商网络边缘云安全实践[J]. 电信科学, 2023, 39(4): 165-172.
[8]	刘思杨, 张云飞. 从智能网联1.0到智能网联2.0：面向双智的实时数字孪生城市构建[J]. 电信科学, 2023, 39(3): 32-44.
[9]	刘光海, 肖天, 李贝, 程新洲, 薛永备, 李一, 朱小萌, 郑雨婷. 4G载波向5G重耕之前的5G业务覆盖能力研究[J]. 电信科学, 2023, 39(3): 115-123.
[10]	许鸣睿, 姚玉才, 朱晓荣. 基于Fisco-Bcos平台的区块链系统性能精确分析模型[J]. 电信科学, 2023, 39(1): 79-91.
[11]	巩传兵, 杨明帅, 吴松, 葛海平, 张守国, 刘磊, 祁云山, 徐辉. 基站价值评估模型的应用研究[J]. 电信科学, 2023, 39(1): 100-107.
[12]	张孟哲, 夏宜君. 5G在工业领域的应用现状、问题及推广建议[J]. 电信科学, 2023, 39(1): 126-135.
[13]	马洪源, 周维, 付艳, 邵永平, 黎丹. 蜂窝物联网核心网目标架构演进探讨[J]. 电信科学, 2023, 39(1): 153-161.
[14]	孙鹏飞, 林立, 司哲. 5GtoB规模复制方法论及标准化能力构建[J]. 电信科学, 2022, 38(Z1): 3-10.
[15]	潘峰, 刘嘉薇. 我国5GtoB应用发展演进及展望[J]. 电信科学, 2022, 38(Z1): 11-16.