A Cognitive Heterogeneous Network Spectrum Resource Allocation Algorithm Based on User Needs Feedback

Abstract:

Allocation of spectrum resource is the key for heterogeneous wireless networks. Taking the differences between different types of access networks available channel bandwidth and the communication requirements of users into consideration on the basis of cognitive heterogeneous network spectrum resource allocation algorithm based on graph coloring theory, this paper introduces bandwidth control parameter and proposes a spectrum resource allocation algorithm based on user needs feedback, which improves the utilization and fairness of system spectrum resources.

• Periodical: Applied Mechanics and Materials (Volume 696)
• Pages: 149-156
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.696.149
• Online since: November 2014
• Authors: Bai Hong Liu*, Shian Hu, Zhe Xu
• Keywords: Cognitive Heterogeneous Wireless Network, Dynamic Spectrum Allocation, Graph Theory, Multi-Granularity Channel Spectrum, User Needs

References

[1] Marojevic V, Reves X, Gelonch A. Cooperative Resource Management in Cognitive Radio[C]. IEEE International Conference, 2007: 5939 - 5944.

DOI: 10.1109/icc.2007.984

[2] Jikai Y, Qi S, Li L. Bid strategies of primary users in double spectrum auctions[J]. Tsinghua Science and Technology. 2012, 2(17): 152-160.

DOI: 10.1109/tst.2012.6180040

[3] Tian Feng, Yang Zhen. A new algorithm for weighted proportional fairness based spectrum allocation of cognitive radios[C]. International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel Distributed Computing, 2007, 1: 531-536.

DOI: 10.1109/snpd.2007.134

[4] Ronald Y. Chang, Zhifeng Tao, Jinyun Zhang and C. -C. Jay Kuo. Dynamic fractional frequency reuse (D-FFR) for multicell OFDMA networks using a graph framework[J]. wireless communications & mobile computing, 2013, 1(13): 12-27.

DOI: 10.1002/wcm.1088

[5] Naranjo, J.D., Viering, I. , Friederichs, K. -J. A Cognitive Radio Based Dynamic Spectrum Access Scheme for LTE Heterogeneous Networks[C]. Wireless Telecommunications Symposium (WTS), 2012: 1-7.

DOI: 10.1109/wts.2012.6266099

[6] Anand Prabhu Subramanian, Mahmoud Al-Ayyoub, Himanshu Gupta, Samir R. Das, Milind M. Buddhikot. Near-optimal dynamic spectrum allocation in cellular networks[J]. New Frontiers in Dynamic Spectrum Access Networks, 2008: 1-11.

DOI: 10.1109/dyspan.2008.41

[7] LI Yi-bing, YANG Rui, GAO Zhen-guo. List-coloring Based Spectrum Access in Cognitive Radio Networks [J]. System Engineering and Electronics, 2010, 32(6): 1109-1112.

[8] SHI Hua, LI Jian-dong, LI Zhao. Dynamic Spectrum Allocation Based on Clone Selection Algorithm in Cognitive Heterogeneous Wireless Network [J]. Journal of Communication. 2012, 33(7).