›› 2013,Vol. 28 ›› Issue (3): 420-428.doi: 10.1007/s11390-013-1343-3

• Special Section on Selected Paper from NPC 2011 • 上一篇    下一篇

基于通用处理器的软基站设计与优化

Xiao-Feng Tao1 (陶小峰), Yan-Zhao Hou1 (侯延昭), Kai-Dong Wang1 (王凯栋), Hai-Yang He1 (何海洋) and Y. Jay Guo2 (郭英杰)   

  1. 1. Key Lab of Universal Wireless Communications of Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2. CSIRO Information and Communication Technologies Centre, CnrVimiera & Pembroke Roads, Marsfield 2122, Australia
  • 收稿日期:2012-10-05 修回日期:2013-03-14 出版日期:2013-05-05 发布日期:2013-05-05
  • 作者简介:Xiao-Feng Tao received his B.S. degree in electrical engineering from Xi'an Jiaotong University, China, in 1993, and M.S.E.E. and Ph.D. degrees in telecommunication engineering from Beijing University of Posts and Telecommunications (BUPT) in 1999 and 2002, respectively. He was a visiting professor at Stanford University from 2009 to 2011, chief architect of Chinese National FuTURE 4G TDD working group from 2003 to 2006 and established 4G TDD CoMP trial network in 2006. He is currently a professor at BUPT, Fellow of IET (The Institution of Engineering and Technology), the inventor or co-inventor of 50 patents, the author or coauthor of 120 papers, in 4G and beyond 4 G.
  • 基金资助:

    This work is supported by the International Scientific and Technological Cooperation Program of China under Grant No. 2010DFA11060, the National Natural Science Foundation of China under Grant No. 61027003, the National Science and Techno- logy Major Project of China under Grant No. 2012ZX03003008-003, and the Beijing Municipal Science and Technology Project under Grant No. D121100002112002.

GPP-Based Soft Base Station Designing and Optimization

Xiao-Feng Tao1 (陶小峰), Yan-Zhao Hou1 (侯延昭), Kai-Dong Wang1 (王凯栋), Hai-Yang He1 (何海洋), and Y. Jay Guo2 (郭英杰)   

  1. 1. Key Lab of Universal Wireless Communications of Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2. CSIRO Information and Communication Technologies Centre, CnrVimiera & Pembroke Roads, Marsfield 2122, Australia
  • Received:2012-10-05 Revised:2013-03-14 Online:2013-05-05 Published:2013-05-05
  • Contact: 10.1007/s11390-013-1343-3
  • Supported by:

    This work is supported by the International Scientific and Technological Cooperation Program of China under Grant No. 2010DFA11060, the National Natural Science Foundation of China under Grant No. 61027003, the National Science and Techno- logy Major Project of China under Grant No. 2012ZX03003008-003, and the Beijing Municipal Science and Technology Project under Grant No. D121100002112002.

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通常认为,传统的基站由诸如FPGA、DSP等硬件单元组成。硬件实现方式可以为移动用户提供可靠顺畅的服务。但是,随着无线网络的快速发展,人们对无线网络的能耗提出了较高的需求。因此,提出低功耗高灵活性的基站实现方式迫在眉睫。当前,通用处理器(GPP)以其成本低灵活性高的特点吸引了人们的关注。受益于现代GPP技术的飞速发展,诸如多核、SIMD指令集、大容量片上缓存、高速率I/O等,GPP目前能够实现无线通信中中的高密度数字信号处理工作。在这篇文章中,我们比较了不同的软件定义的无线电系统,进而提出了基于GPP架构的软基站体系结构。进一步的,我们分析了软基站中的资源分配和算法优化。基于上述研究,我们设计并实现了参考3GPP LTE标准的软基站原型样机。据我们所知,这是目前首个软LTE原型样机。最后,我们评测了软基站的时钟定时性能并获得了低于0.003的丢包率。

Abstract: It is generally acknowledged that mobile communication base stations are composed of hardware components such as Field Programming Gate Array (FPGA), Digital Signal Processor (DSP), which promise reliable and fluent services for the mobile users. However, with the increasing demand for energy-efficiency, approaches of low power-consumption and high-flexibility are needed urgently. In this circumstance, General Purpose Processor (GPP) attracts people's attention for its low-cost and flexibility. Benefited from the development of modern GPP in multi-core, Single Instruction Multiple Data (SIMD) instructions, larger cache, etc., GPPs are capable of performing high-density digital processing. In this paper, we compare several software-defined radio (SDR) prototypes and propose the general architecture of GPP-based soft base stations. Then, the schematic design of resource allocation and algorithm optimization in soft base station implementation are studied. As an application example, a prototype of GPP-based soft base station referring to the 3rd Generation Partnership Project (3GPP) Long Term Evolution (LTE) is realized and evaluated. To the best of our knowledge, it is the first Soft-LTE prototype ever reported. In the end, we evaluate the timing performance of the LTE soft base station and a packet loss ratio of less than 0.003 is obtained.

[1] Fettweis G, Zimmermann E. ICT energy consumption——Trends and challenges. In Proc. the 11th Int. Symp. Wireless Personal Multimedia Commun., September 2008, pp.4-6.

[2] Tao X F, Xu X D, Cui Q M. An overview of cooperative communications. IEEE Communication Magazine, 2012, 50(6): 65-71.

[3] Gudaitis M S, Hinman R D. Tactical software radio concept. In Proc. MILCOM1997, November 1997, Vol.3, pp.12071211.

[4] Mitola J. Software radio architecture: A mathematical perspective. IEEE Journal on Selected Areas in Communications, 1999, 17(4): 514-538.

[5] Muir S, Yedetore J, Stich L, Chapin J. Integration of SDR cellular basestations into military telephone networks. In Proc. 2007 Military Communications Conference, October 2007, pp.1-7.

[6] Kaltenberger F, Ghaffar R, Knopp R, Anouar H, Bonnet C. Design and implementation of a single-frequency mesh network using OpenAirInterface. EURASIP Journal on Wireless Communications and Networking, 2010, 2010: Article No.19.

[7] Zhao S J, Shen C, Su X, Yao Y. Architecture of a software radio system based on cluster of workstations. In Proc. IEEE TENCON 2003, October 2003, Vol.4, pp.1439-1444.

[8] Murphy P, Hunter C, Sabharwal A. Design of a cooperative OFDM transceiver. In Proc. the 43th Asilomar Conference on Signals, Systems and Computers, November 2009, pp.1263-1267.

[9] Hunter C, Camp J, Murphy P, Sabharwal A, Dick C. A flexible framework for wireless medium access protocols. In Proc. the 40th Asilomar Conference on Signals, Systems and Computers, November 2006, pp.2046-2050.

[10] Pulley D, Baines R. Software defined baseband processing for 3G base stations. In Proc. the 4th International Conference on 3G Mobile Communication Technologies, June 2003, pp.123-127.

[11] Huang L, Zheng K, Wang X Y, Decarreau G. Timing performance analysis in an open software radio system. In Proc. the 1st International Conference on Communications and Networking in China, October 2006, pp.1-5.

[12] Lin Y, Lee H, Woh M et al. Soda: A low-power architecture for software radio. In Proc. the 33rd International Symposium on Computer Architecture, June 2006, pp.89-101.

[13] Tan K, Zhang J S, Fang J, He L, Ye Y S, Wang S, Zhang Y G, Wu H T, Wang W, Voelker G M. Sora: High performance software radio using general purpose multi-core processors. Communications of the ACM, 2011, 54(1): 99-107.

[14] Horrein P H, Hennebert C, P?etrot F. Adapting a SDR environment to GPU architectures. In Proc. SDR11WInnComm-Europe Conference, June 2011, pp.143-149.

[15] Schiphorst R, Hoeksema F, Arkesteijn V, Slump K, Klumperink E, Nauta B. A GPP-based software-defined radio front-end for WLAN standards. In Proc. IEEE Benelux Signal Processing Symposium, April 2004, pp.203-206.

[16] Tao X F, Wang K D, He H Y, Hou Y Z, Han J. A compensation scheme for timing synchronization error in GPP-SDR LTE system. In Proc. the 1st International Conference on Communications in China, August 2012, pp.339-344.

[17] Lin Y H, Shao L, Zhu Z B,Wang Q H, Sabhikhi R K. Wireless network cloud: Architecture and system requirements. IBM Journal of Research and Development, 2010, 54(1): 38-49.

[18] Erfanian J, Pasupathy S, Gulak G. Reduced complexity symbol detectors with parallel structure for ISI channels. IEEE Transactions on Communications, 1994, 42(234): 1661-1671.

[19] Schmidl T M, Cox D C. Robust frequency and timing synchronization for OFDM. IEEE Transactions on Communications, 1997, 45(12): 16131621.
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[1] 刘明业; 洪恩宇;. Some Covering Problems and Their Solutions in Automatic Logic Synthesis Systems[J]. , 1986, 1(2): 83 -92 .
[2] 陈世华;. On the Structure of (Weak) Inverses of an (Weakly) Invertible Finite Automaton[J]. , 1986, 1(3): 92 -100 .
[3] 高庆狮; 张祥; 杨树范; 陈树清;. Vector Computer 757[J]. , 1986, 1(3): 1 -14 .
[4] 陈肇雄; 高庆狮;. A Substitution Based Model for the Implementation of PROLOG——The Design and Implementation of LPROLOG[J]. , 1986, 1(4): 17 -26 .
[5] 黄河燕;. A Parallel Implementation Model of HPARLOG[J]. , 1986, 1(4): 27 -38 .
[6] 闵应骅; 韩智德;. A Built-in Test Pattern Generator[J]. , 1986, 1(4): 62 -74 .
[7] 唐同诰; 招兆铿;. Stack Method in Program Semantics[J]. , 1987, 2(1): 51 -63 .
[8] 闵应骅;. Easy Test Generation PLAs[J]. , 1987, 2(1): 72 -80 .
[9] 张钹; 张铃;. Statistical Heuristic Search[J]. , 1987, 2(1): 1 -11 .
[10] 朱鸿;. Some Mathematical Properties of the Functional Programming Language FP[J]. , 1987, 2(3): 202 -216 .
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