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Generation and characterization of orthogonal FH sequences for the cognitive network

基于认知组网的正交跳频序族生成与性能分析

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Abstract

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.

摘要

创新点

针对认知跳频系统高吞吐量、高频谱效率正交组网迫切需求, 本文提出了一种正交跳频序列族的生成方法。 该方法能够生成大量依据系统感知结果实时改变的跳频序列, 实现大量用户动态接入。 基于该序列, 对正交频分多址接入系统进行分析, 得到了系统吞吐量和传输时延与通信用户数之间的理论表达式, 为实际认知跳频系统的正交组网提供了理论依据和技术支持。

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References

  1. Zhi R, Zhang L, Zhou Z. Cognitive frequency hopping. In: Cognitive Radio Oriented Wireless Networks and Communications, Singapore, 2008. 1–4

    Google Scholar 

  2. Du Q Z, Peng Y, Yang Q P, et al. A novel cognitive frequency hopping mechanism for bluetooth network. Appl Mecha Mater, 2013, 303–306: 2002–2006

    Article  Google Scholar 

  3. Rahman M J A, Krunz M, Erwin R. Interference mitigation using spectrum sensing and dynamic frequency hopping. In: IEEE International Conference on Communications, Ottawa, 2012. 4421–4425

    Google Scholar 

  4. Willkomm D, Bohge M, Hollos D, et al. Double hopping: A new approach for dynamic frequency hopping in cognitive radio networks. In: Personal, Indoor and Mobile Radio Communications, Cannes, 2008. 1–6

    Google Scholar 

  5. Li X Y, Zhang H L, Hu F, et al. Quorum-based channel hopping scheme for cognitive radio networks. Sci China Inform Sci, 2013, 56: 049302 (6)

    MathSciNet  Google Scholar 

  6. Al-Azzawi F F, Ahmed E S. Effect of multi-tone jamming on FH-OFDMA system with orthogonal hopping patterns. In: GCC Conference, Manama, IEEE, 2006. 1–5

    Google Scholar 

  7. Bellegarda J R, Titlebaum E L. Time-frequency hop codes based upon extended quadratic congruences. Aerospace Electr Syst IEEE Trans, 1988, 24: 726–742

    Article  Google Scholar 

  8. Lu M, Lin Y. Analysis of frequency hopping patterns for EUTRA Uplink. In: Wireless Communications, Networking and Mobile Computing, Dalian, 2008. 1–4

    Google Scholar 

  9. Bin L. One-coincidence sequences with specified distance between adjacent symbols for frequency-hopping multiple access. Commun IEEE Trans, 1997, 45: 408–410

    Article  MATH  Google Scholar 

  10. Li X, Qin C. Combinatorial characterizations of k-coincidence frequency-hopping sequences. In: International Conference on Computer Science and Software Engineering, Wuhan, 2008. 1081–1083

    Google Scholar 

  11. Wang X, Fan P. A class of frequency hopping sequences with no hit zone. In: Proceedings of the Fourth International Conference on Parallel and Distributed Computing, 2003. 896–898

    Google Scholar 

  12. Ye W X, Fan P Z, Gabidulin E M. Construction of non-repeating frequency-hopping sequences with no-hit zone. Electr Lett, 2006, 42: 681–682

    Article  Google Scholar 

  13. Li Z, Chang Y, Jin L. A novel family of frequency hopping sequences for multi-hop Bluetooth networks. Consumer Electr IEEE Trans, 2003, 49: 1084–1089

    Article  Google Scholar 

  14. Niu X H, Peng D Y, Zhou Z C. Frequency/time hopping sequence sets with optimal partial Hamming correlation properties. Sci China Inf Sci, 2012, 55: 2207–2215

    Article  MATH  MathSciNet  Google Scholar 

  15. Alberto L G, Indra W. Communication Networks: Fundamental Concepts and Key Architectures. Mc GrawHill, 2000. 845–857

    Google Scholar 

  16. Iversen V B, Staalhagen L. Waiting time distribution in M/D/1 queueing systems. Electr Lett, 1999, 35: 2184–2185

    Article  Google Scholar 

  17. Chen X J, Si J B, Li Z, et al. A new complexity metric for FH/SS sequences using fuzzy entropy. Sci China Inf Sci, 2011, 54: 1491–1499

    Article  MATH  Google Scholar 

  18. Zhu H L, Wang J Z. Chunk-based resource allocation in OFDMA systems (I): Chunk allocation. Commun IEEE Trans, 2010, 57: 2734–2744

    Google Scholar 

  19. Zhu H L. Radio resource allocation for OFDMA systems in high speed environments. IEEE J Sel Areas Commun, 2012, 30: 748–759

    Article  Google Scholar 

  20. Gault S, Hachem W, Ciblat P. Performance analysis of an OFDMA transmission system in a multicell environment. IEEE Trans Commun, 2012, 60: 740–751

    Google Scholar 

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Correspondence to Zan Li.

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Guan, L., Li, Z., Si, J. et al. Generation and characterization of orthogonal FH sequences for the cognitive network. Sci. China Inf. Sci. 58, 1–11 (2015). https://doi.org/10.1007/s11432-014-5231-4

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  • DOI: https://doi.org/10.1007/s11432-014-5231-4

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