Share This Article:

Mixed Contiguous and Aggregated Spectrum Allocation Algorithm for CR based TD-LTE System

Full-Text HTML Download Download as PDF (Size:139KB) PP. 298-302
DOI: 10.4236/cn.2013.53B2055    3,573 Downloads   4,562 Views   Citations


Cognitive Radio (CR) is a promising technology to increase the efficiency of spectrum by opportunistic access. However, in many cases the sensed spectrum is so broken that it cannot be utilized sufficiently with traditional continuous spectrum allocation strategy. Spectrum aggregation can make full use of narrow spectrum fragments while the overhead it brings may reduce the overall performance of the system. This paper proposes a Mixed Contiguous and Aggregated Spectrum Allocation (MixCASA) algorithm for CR based TD-LTE Networks. This algorithm combines contiguous with discontiguous spectrum allocation together in order to guarantee the feasibility and efficiency of system. Simulation results show that the MixCASA algorithm can increase the number of allocated channels, and reduce the overhead brought by excessive spectrum aggregation as well.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Liu, X. , Quan, Q. , Lei, P. , Guo, W. and Wang, W. (2013) Mixed Contiguous and Aggregated Spectrum Allocation Algorithm for CR based TD-LTE System. Communications and Network, 5, 298-302. doi: 10.4236/cn.2013.53B2055.


[1] “LTE: The UMTS Long Term Evolution,” New York: John Wiley & Sons, 2009.
[2] I. F. Akyildiz, W. Y. Lee, M. C. Vuran, et al., “Next Generation/Dynamic Spectrum Access/cognitive Radio Wireless Networks: A Survey,” Computer Networks, Vol. 50, No. 13, 2006, pp. 2127-2159. doi:10.1016/j.comnet.2006.05.001
[3] I. F. Akyildiz, W. Y. Lee, M. C. Vuran, et al., “A Survey on Spectrum Management in Cognitive Radio Networks,” Communications Magazine, IEEE, 2008, pp. 40-48.
[4] L. Chen, W. Chen, X. Zhang, et al., “Analysis and Simulation for Spectrum Aggregation in LTE-advanced System,” Vehicular Technology Conference Fall (VTC 2009-Fall), 2009 IEEE 70th. IEEE, 2009, pp. 1-6.
[5] Z. Shen, A. Papasakellariou, J. Montojo, et al., “Overview of 3GPP LTE-advanced Carrier Aggregation for 4G Wireless Communications,” Communications Magazine, IEEE, Vol. 50, No. 2, 2012, pp. 122-130. doi:10.1109/MCOM.2012.6146491
[6] M. Masmano, I. Ripoll, P. Balbastre, et al., “A Constant-time Dynamic Storage Allocator for Real-time Systems,” Real-Time Systems, Vol. 40, No. 2, 2008, pp. 149-179. doi:10.1007/s11241-008-9052-7
[7] M. Hamid, A. Mohammed and Z. Yang, “On Spectrum Sharing and Dynamic Spectrum Allocation: MAC Layer Spectrum Sensing in Cognitive Radio Networks,” Communications and Mobile Computing (CMC), 2010 International Conference on IEEE, 2010, Vol. 2, pp. 183-187.
[8] M. Lee and T. J. Lee, “Multichannel MAC Protocol with Discontiguous-OFDM for Cognitive Radio Networks,” Informatics Engineering and Information Science, Springer Berlin Heidelberg, 2011, pp. 594-603. doi:10.1007/978-3-642-25462-8_53
[9] Chen Y S, Liao S H. “Spectrum-aware routing in discontinuous orthogonal frequency division multiplexing-based cognitive radio ad hoc networks,” Networks, IET, Vol. 1, No. 1, 2012, pp. 20-33. doi:10.1049/iet-net.2011.0002
[10] Poston J D, Horne W D. “Discontiguous OFDM Considerations for Dynamic Spectrum Access in Idle TV Channels,” New Frontiers in Dynamic Spectrum Access Networks, DyS-PAN, First IEEE International Symposium on. IEEE, 2005, pp. 607-610.
[11] Y. Li, L. Zhao, C. Wang, et al., “Aggregation-based Spectrum Allocation Algorithm in Cognitive Radio Networks,” Network Operations and Management Symposium (NOMS), IEEE, 2012, pp. 506-509.
[12] F. Huang, W. Wang, H. Luo, et al., “Prediction-Based Spectrum Aggregation with Hardware Limitation in Cognitive Radio Networks,” Vehicular Technology Conference (VTC 2010-Spring), 2010 IEEE 71st., 2010, pp. 1-5.
[13] D. Chen, Q. Zhang and W. Jia, “Aggregation Aware Spectrum Assignment in Cognitive ad-hoc Networks,” Cognitive Radio Oriented Wireless Networks and Communications, 2008. CrownCom 2008. 3rd International Conference on. IEEE, 2008, pp. 1-6.

comments powered by Disqus

Copyright © 2018 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.