期刊文献+

基于满意度的动态频谱分配问题研究

Research on Dynamic Spectrum Allocation based on Satisfaction Degree
下载PDF
导出
摘要 针对频谱资源的有效利用问题,提出了利用动态调整频宽技术建立频谱分配模型,通过降低服务等级的方式服务所有的次用户。考虑到物理层协议的重要性,为多个次用户组成的集中认知无线网络设计了一个MAC协议,以满足异构频宽的需求,并来验证动态频谱分配模型。实验结果表明,该模型和固定频宽模型相比,频谱利用率提高了38%,公平度是90%。 In this paper, we propose to use variable instead of predetermined width channel for com- munication and present a novel dynamic spectrum allocation model, which can serve all SUs by means of degrading service. We also design a MAC protocol for centralized cognitive radio network consisted of many SUs with heterogeneous bandwidth demands, experimental results show that variable channel width method increases spectrum utilization more than 38% compared with predetermined channel width method, and fairness index of SUs is about 90% in our model.
作者 李晓月 戴冬
出处 《河南机电高等专科学校学报》 CAS 2015年第1期26-32,共7页 Journal of Henan Mechanical and Electrical Engineering College
关键词 认知无线网络 动态频谱分配 频宽 满意度模型 MAC协议 cognitive radio network bandwidth dynamic spectrum allocation satisfaction degreemodel MAC protocol
  • 相关文献

参考文献17

  • 1F. C. C. S. P. T. Force. Report of the spectrum efficiency working group. Federal Communications Commision ER~,Technical Report, 2002.
  • 2D. A. Roberson. Structural support for cognitive radio system deploy- ment[C~. In Proceedings. of Interna- tional Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), Or- lando, FL,USA, 2007.
  • 3DQian Zhang Mingyan Liu Shufang Li Dawei Chen, Si~ xing Yin. Mining spectrum usage data: a large - scale spectrum measurement study[C]. In Proceedings of the ACM MobiCom, 2009.
  • 4姚富强,张建照,柳永祥,赵杭生.动态频谱管理的发展现状及应对策略分析[J].电波科学学报,2013,28(4):794-803. 被引量:16
  • 5T.C. Clancy. Formalizing the interference temperature model[,J]. Wireless Communications and Mobile Com- puting,2007,7(9).
  • 6W. Wang and X. Liu. List- coloring based channel allo- cation for open- spectrum wireless networks EC]. In IEEE Vehicular Technology Conference, Citeseer, 2005, volume 62.
  • 7H. Zheng and C. Peng. Collaboration and fairness in op- portunistic spectrum access. In Proceedings of IEEE In- ternational Conference on Communications (ICC), Cite- seer,2005.
  • 8D. I. Kim,L. B. Le,and E. Hossain. Joint rate and pow- er allocation for cognitive radios in dynamic spectrum access environment[J~. IEEE Transactions on Wireless Communications, 2008,7 (12).
  • 9L. Zhang, Y. Liang, and Y. Xin. Joint beam forming and power allocation for multiple access channels in cogni- tive radio networks[,J]. IEEE Journal on Selected Areas in Communications, 2008,26 (1).
  • 10J. Chen, L. Gong, and Y. Yang. Two Bandwidth packing algorithms for a centralized wireless network and their average-case analysis[C]. In Information, Communications and Signal Processing, Fifth Interna- tional Conference on Communication, 2005.

二级参考文献24

  • 1Tandra R, Sahai A. Fundamental limits on detection in low SNR under noise uncertainty. In: Proc. of the lnt'l Conf. on Wireless Networks, Communications and Mobile Computing. Maul: IEEE Press, 2005. 464-469. [doi: 10.1109/WIRLES.2005.1549453].
  • 2Zhao Q, Sadler BM. A survey of dynamic spectrum access: Signal processing, networking, and regulatory policy. IEEE Signal Processing Magazine, 2007,24(3):79-89. [doi: 10.1109/MSP.2007.361604].
  • 3Yuan Y, Bah1 P, Chandra R, Moscibroda T, Wu Y. Allocating dynamic time-spectrum blocks in cognitive radio networks. In: Proc. of the 8th ACM Int'l Symp. on Mobile Ad Hoc Networking and Computing (MobiHoc 2007). Berkeley: ACM Press. 2007. 130-139. [doi: 10.1145/1288107.1288125].
  • 4Yang L, Hou W, Zhao BY, Zheng H. Supporting demanding wireless applications with frequency-agile radios. In: Proc. of the 7th USENIX Symp. on Networked Systems Design and Implementation (NSDI 2010). New York: ACM Press, 2010. 65-80.
  • 5Moscibroda T, Chandra R, Wu Y, Sengupta S, Bahl P, Yuan Y. Load-Aware spectrum distribution in wireless LANs. In: Proc. of the 16th 1EEE lnt'l Conf. on Network Protocols (ICNP 2008). Riverside: IEEE Press, 2008. 137-146. Idol: 10.1109/ICNP.2008. 4697032].
  • 6Rayanchu S, Shrivastava V, Banerjee S. FLUID: Improving throughputs in enterprise wireless LANs through flexible channelization. In: Proc. of the 17th ACM Int'l Conf. on Mobile Computing and Networking (MobiCom 2011). New York: ACM Press, 2008. 1-12. [doi: 10.1145/2030613.2030615].
  • 7Bejerano Y, Han SJ, Li L. Fairness and load balancing in wireless LANs using association control. IEEE/ACM Trans. on Networking, 2007,15(3):560-573. [doi: 10.1145/1295237.1295244].
  • 8Papanikos I, Logothetis M. A study on dynamic load balance for IEEE 802.1 lb wireless LAN. In: Proc. of the 8th Int'l Conf. on Advances in Communication and Control (COMCON 2001). William R. Wells, 2001. 83-89. http://www-inst.eecs.berkeley.edu/ -ee228a/fa03/228A03/802.11%20wlan/dynamie load balancing.pdf.
  • 9Balachandran A, Bahl P, Voelker GM. Hot-Spot congestion relief and service guarantees in public-area wireless networks. ACM Computer Communication Review, 2002,32(1):59-59. [doi: 10.1145/510726.510733].
  • 10Tsai TC, Lien CF. IEEE 802.11 hot spot load balance and QoS maintained seamless roaming. In: Proc. of the National Computer Symp. (NCS 2003). Inderscience, 2003. 1986-1992. http://130.203.133.150/showciting;jsessionid=0892457328420FE9967E227 BB5920191 ?cid=9108879.

共引文献24

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部