[1]吴名,宋铁成,沈连丰,等.一种噪声未知的新型空间频谱分布协作感知算法[J].东南大学学报(自然科学版),2016,46(2):231-236.[doi:10.3969/j.issn.1001-0505.2016.02.001]
 Wu Ming,Song Tiecheng,Shen Lianfeng,et al.Novel cooperative sensing algorithm for spatial spectrum distribution with unknown noises[J].Journal of Southeast University (Natural Science Edition),2016,46(2):231-236.[doi:10.3969/j.issn.1001-0505.2016.02.001]
点击复制

一种噪声未知的新型空间频谱分布协作感知算法()
分享到:

《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
46
期数:
2016年第2期
页码:
231-236
栏目:
信息与通信工程
出版日期:
2016-03-20

文章信息/Info

Title:
Novel cooperative sensing algorithm for spatial spectrum distribution with unknown noises
作者:
吴名宋铁成沈连丰胡静
东南大学移动通信国家重点实验室, 南京 210096
Author(s):
Wu Ming Song Tiecheng Shen Lianfeng Hu Jing
National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
关键词:
认知无线电 空间频谱分布 协作频谱感知 变分贝叶斯推断 稀疏性
Keywords:
cognitive radio spatial spectrum distribution cooperative spectrum sensing variational Bayesian inference sparsity
分类号:
TN914
DOI:
10.3969/j.issn.1001-0505.2016.02.001
摘要:
为了获得占用频段、主用户发射功率、位置和本地噪声等全局信息,给出了一种主用户全局功率谱模型,提出了一种噪声未知的新型空间频谱分布协作感知算法.利用变分贝叶斯推断理论,估计出模型系数向量和本地噪声向量,以求得全局信息.仿真结果表明,所提算法在较高信噪比下具有较高的估计精度和收敛稳定性.该算法性能虽弱于噪声已知算法的性能,但相比基于非负最小二乘准则的算法具有更好的均方误差性能.
Abstract:
In order to obtain the global information including occupied frequency bands, transmitting powers of the primary users(PUs), locations and local noises, a model for the global power spectral density(PSD)of the PUs is constructed, and a novel cooperative sensing algorithm for spatial spectrum distribution with unknown noises is also proposed. By utilizing variational Bayesian inference(VBI)theory, the model coefficient vector and the local noise vector are estimated to obtain the global information. The simulation results show that the proposed algorithm has high accuracy and convergence stability with the high signal noise ratio(SNR). Though the performance of this algorithm is worse than that of the algorithm with known noises, but its mean square error(MSE)performance is better than that of the algorithm based on the non-negativity least square(NNLS)criterion.

参考文献/References:

[1] Goldsmith A, Jafar S A, Maric I, et al. Breaking spectrum gridlock with cognitive radios: An information theoretic perspective[J]. Proceedings of the IEEE, 2009, 97(5): 894-914. DOI: 10.1109/JPROC.2009.2015717.
[2] Lu L, Zhou X W, Onunkwo U, et al. Ten years of research in spectrum sensing and sharing in cognitive radio[J]. EURASIP Journal on Wireless Communications, 2012, 2012: 28.
[3] Zeng Y H, Liang Y C, Hoang A T, et al. A review on spectrum sensing for cognitive radio: Challenges and solutions[J]. EURASIP Journal on Advances in Signal Processing, 2010, 2010(1): 381465. DOI:10.1155/2010/381465.
[4] Nishimori K, Taranto R D, Yomo H, et al. Spatial opportunity for cognitive radio systems with heterogeneous path loss conditions[C]//IEEE Vehicular Technology Conference. Dublin,Ireland, 2007: 2631-2635.
[5] Riihijarvi J, Mahonen P. Exploiting spatial statistics of primary and secondary users towards improved cognitive radio networks[C]//IEEE 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications. Singapore, 2008: 1-7.
[6] Min A W, Kim K H, Singh J P, et al. Opportunistic spectrum access for mobile cognitive radios[C]//2011 Proceedings of IEEE INFOCOM Conference. Shanghai, China, 2011: 2993-3001.
[7] Caso G, Nardis L D, Holland O, et al. Impact of spatio-temporal correlation in cooperative spectrum sensing for mobile cognitive radio networks[C]//Proceedings of the 10th International Symposium on Wireless Communication Systems. Ilmenau, Germany, 2013: 1-5.
[8] Paura L, Savoia R. Mobility-aware sensing enabled capacity in cognitive radio networks[C]//2013 IEEE International Workshop on Measurements and Networking Proceedings. Naples,Italy, 2013: 179-183.
[9] 吴名,宋铁成,胡静,等.一种基于变分贝叶斯推断的新型全局频谱协作感知算法[J].通信学报,2016,37(2):115-123.
  Wu Ming, Song Tiecheng, Hu Jing, et al. A novel cooperative global spectrum sensing algorithm based on variational Bayesian inference[J]. Journal of China Institute of Communications, 2016, 37(2): 115-123.(in Chinese)
[10] Giannakis G B, Tepedelenlioglu C. Basis expansion models and diversity techniques for blind identification and equalization of time-varying channels[J]. Proceedings of the IEEE, 1998, 86(10): 1969-1986. DOI:10.1109/5.720248.
[11] Cevher V, Duarte M F, Baraniuk R G. Distributed target localization via spatial sparsity[C]//European Conference on Signal Processing. Lausanne, Switzerland, 2008: 1-5.
[12] Girolami M. A variational method for learning sparse and overcomplete representations[J]. Neural Computation, 2011, 13(11): 2517-2532. DOI:10.1162/089976601753196003.
[13] Wipf D P, Owen J P, Attias H T, et al. Robust Bayesian estimation of the location, orientation, and time course of multiple correlated neural sources using MEG[J]. NeuroImage, 2010, 49(1): 641-655. DOI:10.1016/j.neuroimage.2009.06.083.

相似文献/References:

[1]叶芝慧,冯奇,王健.基于学习策略的动态频谱接入信道选择及系统性能[J].东南大学学报(自然科学版),2012,42(6):1041.[doi:10.3969/j.issn.1001-0505.2012.06.004]
 Ye Zhihui,Feng Qi,Wang Jian.Learning-based channel selection and system performance of dynamic spectrum access[J].Journal of Southeast University (Natural Science Edition),2012,42(2):1041.[doi:10.3969/j.issn.1001-0505.2012.06.004]
[2]叶芝慧,王涛,冯奇.一种基于博弈论价格机制的频谱分配算法[J].东南大学学报(自然科学版),2014,44(3):462.[doi:10.3969/j.issn.1001-0505.2014.03.002]
 Ye Zhihui,Wang Tao,Feng Qi.Spectrum allocation algorithm based on game theory with price mechanism[J].Journal of Southeast University (Natural Science Edition),2014,44(2):462.[doi:10.3969/j.issn.1001-0505.2014.03.002]
[3]左加阔,赵力,邹采荣.时延服务质量约束下的高能效功率分配算法[J].东南大学学报(自然科学版),2015,45(4):635.[doi:10.3969/j.issn.1001-0505.2015.04.004]
 Zuo Jiakuo,Zhao Li,Zou Cairong.Energy-efficient power allocation algorithm with delay QoS constraints[J].Journal of Southeast University (Natural Science Edition),2015,45(2):635.[doi:10.3969/j.issn.1001-0505.2015.04.004]

备注/Memo

备注/Memo:
收稿日期: 2015-09-15.
作者简介: 吴名(1981—),男,博士生;宋铁成(联系人),男,博士,教授,博士生导师,songtc@seu.edu.cn.
基金项目: 国家自然科学基金资助项目(61201248,61271207,61372104).
引用本文: 吴名,宋铁成,沈连丰,等.一种噪声未知的新型空间频谱分布协作感知算法[J].东南大学学报(自然科学版),2016,46(2):231-236. DOI:10.3969/j.issn.1001-0505.2016.02.001.
更新日期/Last Update: 2016-03-20