Generation and characterization of orthogonal FH sequences for the cognitive network

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• 作者：Lei Guan (1)
  Zan Li (1)
  JiangBo Si (1)
  YangChao Huang (1)
  
  1. State Key Laboratory of Integrated Services Networks ; Xidian University ; Xi鈥檃n ; 710071 ; China
  
• 关键词：cognitive frequency hopping ; orthogonal frequency hopping sequence ; frequency hopping network ; frequency division multiple access ; throughput ; 璁ょ煡璺抽 ; 姝ｄ氦璺抽搴忓垪 ; 璺抽缁勭綉 ; 棰戝垎澶氬潃鎺ュ叆 ; 鍚炲悙閲?/li> 022303
• 刊名：SCIENCE CHINA Information Sciences
• 出版年：2015
• 出版时间：February 2015
• 年：2015
• 卷：58
• 期：2
• 页码：1-11
• 全文大小：1,038 KB
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• 刊物类别：Computer Science
• 刊物主题：Chinese Library of Science
  Information Systems and Communication Service
  
• 出版者：Science China Press, co-published with Springer
• ISSN：1869-1919

文摘

The existing orthogonal frequency hopping (FH) sequence cannot support the high throughput and high spectrum efficient cognitive FH (CFH) network due to its small family size, high computational complexity and short period. To overcome these disadvantages, this paper investigates the generation of the orthogonal FH sequence and analyzes its multiple accessibility performance based on the CFH frequency division multiple-access (FDMA) network model. By the random mapping and cyclical shift replacement (CSR) scheme, a large family size of orthogonal FH sequence with dynamic frequency slot number is generated. In this case, the external interference could be eliminated by avoiding the interfered frequencies, and blocking mutual interference incurred for the packet by the orthogonal frequencies. Moreover, the theoretical relationships of the throughput and transmission delay with respect to the user number and the packet arrival rate are given, which shows that our proposed orthogonal FH sequence could support high throughput and short packet transmission delay in CFH-FDMA network. The simulation results validate our theoretical analysis of the CFH-FDMA network performance, and show that our proposed sequence outperforms the widely used no hit zone FH sequences in terms of uniformity, randomness, Hamming correlation, complexity and sensitivity, etc.