Please wait a minute...
J4  2012, Vol. 46 Issue (10): 1816-1821    DOI: 10.3785/j.issn.1008-973X.2012.10.013
    
Energy allocation in rateless coded cognitive radio system
LOU Wen-tao, ZHANG Zhao-yang, CHEN Shao-lei, YIN Rui
Department of Information Science and Electronic Engineering, Zhejiang University,Hangzhou 310027, China
Download:   PDF(0KB) HTML
Export: BibTeX | EndNote (RIS)      

Abstract  

Maximizing energy effectiveness of widely applied cognitive radio system was researched. In consideration of both channel and system characteristics, an energy allocation algorithm was investigated for a rateless coded multichannel cognitive radio system, by using rateless code’s adaptivity with the dynamic channel environment to confront the unpredictable channel occupancies by the primary user (PU). With the employment of periodical spectrum sensing, the proposed algorithm allocates the sensing energy and transmission energy of the secondary user (SU) taking into account channel and system characteristics, meanwhile the constraint of interference to PU is guaranteed. Simulation results validated the effectiveness of the proposed algorithm under different channel or system characteristics.



Published: 01 October 2012
CLC:  TN 92  
Cite this article:

LOU Wen-tao, ZHANG Zhao-yang, CHEN Shao-lei, YIN Rui. Energy allocation in rateless coded cognitive radio system. J4, 2012, 46(10): 1816-1821.

URL:

http://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2012.10.013     OR     http://www.zjujournals.com/eng/Y2012/V46/I10/1816


基于无速率编码的认知无线电系统能量分配算法

针对目前广泛应用的认知无线电技术,研究最大化认知系统能量利用率的问题.全局计入信道特性和系统本身特性对能量利用率的影响,利用无速率编码对网络动态环境的自适应能力以对抗主用户不可预知的出现,研究基于无速率编码的多信道认知无线电系统的能量分配算法.通过引入周期频谱感知模型,提出的能量分配算法根据信道和系统特性分配从用户的感知能量和传输能量,利用系统门限约束干扰概率以保护主用户通信.仿真结果表明,对应不同的信道或系统特性,提出的算法均能够显著降低能耗,提高能量利用率.

[1] HAYKIN S. Cognitive radio: brainempowered wireless communications [J]. IEEE Journal on Selected Areas in Communications, 2005, 23(2): 201-220.
[2] ZHAO Q, SADLER B M. A survey of dynamic spectrum access: signal processing, networking, and regulatory policy [J]. IEEE Signal Processing Magazine, 2007, 24(3): 79-89.
[3] MACKAY D J C. Fountain codes [J]. IEE Proceedings Communications, 2005, 152(6): 1062-1068.
[4] LUBY M. LT codes [C]∥Proceedings of the 43rd Annual IEEE Symposium on Foundations of Computer Science. Vancouver: IEEE, 2002: 271-280.
[5] SHOKROLLAHI A. Raptor codes [J]. IEEE Transactions on Information Theory, 2006, 52(6): 2551-2567.
[6] CHEN Y, HUANG H, LAU V K N. Cooperative spectrum access for cognitive radio network employing rateless code [C]∥ IEEE ICC Workshops. [S. l.]: IEEE, 2008: 326-331.
[7] KUSHWAHA H, XING Y, CHANDRAMOULI R. Reliable multimedia transmission over cognitive radio networks using fountain codes [J]. Proceedings of the IEEE, 2008, 96(1): 155-165.
[8] WANG X, CHEN W, CAO Z. A rateless coding based multirelay cooperative transmission scheme for cognitive radio networks [C]∥IEEE Globecom. [S. l.]: IEEE, 2009: 1-6.
[9] CHEN S, ZHANG Z, CHEN X. Distributed spectrum access in cognitive radio network employing rateless codes [C]∥IEEE Globecom. [S. l.]: IEEE, 2010: 1-6.
[10] ZHOU X, LI Y, KWON Y H. Detection timing and channel selection for periodic spectrum sensing in cognitive radio [C]∥ IEEE Globecom. [S. l.]: IEEE, 2008: 1-5.

[1] DONG Li-da, HUANG Cong , GUAN Lin-bo. Double-tree structure based scheduling strategy  for wireless HART[J]. J4, 2014, 48(3): 391-397.
[2] GONG Ben-kang, ZHANG Zhao-yang, YE Lu. Overlapped OFDMA:a novel spectrum sharing scheme[J]. J4, 2013, 47(5): 860-866.
[3] ZHOU Gao-bei, SONG Hong-jun, DENG Yun-kai. Investigation of SAR array antenna beam broadening
based on beam pattern space
[J]. J4, 2011, 45(12): 2252-2258.
[4] ZHANG Cui-zhi, CHEN Shu-min, YU Qiang, LIANG Shu-cheng, XU Yuan-xin. Power allocation and subcarrier pairing for AF-OFDM
based cognitive radio systems
[J]. J4, 2011, 45(12): 2259-2264.
[5] CHEN Hong. Hardware circuits design of RF synchronized switch[J]. J4, 2011, 45(2): 330-334.