[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.3837/tiis.2013.07.001

Joint Subcarriers and Power Allocation with Imperfect Spectrum Sensing for Cognitive D2D Wireless Multicast

Chen, Yueyun (School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB))
Xu, Xiangyun (School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB))
Lei, Qun (School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB))

Publication Information

KSII Transactions on Internet and Information Systems (TIIS) / v.7, no.7, 2013 , pp. 1533-1546 More about this Journal

Abstract

Wireless multicast is considered as an effective transmission mode for the future mobile social contact services supported by Long Time Evolution (LTE). Though wireless multicast has an excellent resource efficiency, its performance suffers deterioration from the channel condition and wireless resource availability. Cognitive Radio (CR) and Device to Device (D2D) are two solutions to provide potential resource. However, resource allocation for cognitive wireless multicast based on D2D is still a great challenge for LTE social networks. In this paper, a joint sub-carriers and power allocation model based on D2D for general cognitive radio multicast (CR-D2D-MC) is proposed for Orthogonal Frequency-Division Multiplexing (OFDM) LTE systems. By opportunistically accessing the licensed spectrum, the maximized capacity for multiple cognitive multicast groups is achieved with the condition of the general scenario of imperfect spectrum sensing, the constrains of interference to primary users (PUs) and an upper-bound power of secondary users (SUs) acting as multicast source nodes. Furthermore, the fairness for multicast groups or unicast terminals is guaranteed by setting a lower-bound number of the subcarriers allocated to cognitive multicast groups. Lagrange duality algorithm is adopted to obtain the optimal solution to the proposed CR-D2D-MC model. The simulation results show that the proposed algorithm improves the performance of cognitive multicast groups and achieves a good balance between capacity and fairness.

Keywords

Cognitive radio; wireless multicast; orthogonal frequency-division multiple access; spectrum sensing; resource allocation;

Citations & Related Records

Reference

1	Z. Zhang, K. Long, J. Wang and F. Dressler, "On Swarm Intelligence Inspired Self-Organized Networking: Its Bionic Mechanisms, Designing Principles and Optimization Approaches," IEEE Communications Surveys and Tutorials, vol. PP , Issue: 99, pp. 1-25, 2013.
2	J. Tang, S. Misra and G. Xue, "Joint spectrum allocation and scheduling for fair spectrum sharing in cognitive radio wireless networks," Computer Networks, Elsevier, vol. 52, no. 11, pp. 2148-2158, April, 2008. DOI ScienceOn
3	Y. Zhang and C. Leung, "Resource allocation in an OFDM-based cognitive radio system," IEEE Transactions on Communications, vol. 57, no. 7, pp. 1928-1931, July, 2009. DOI ScienceOn
4	J. Tang, R. Hincapie, G. Xue, W. Zhang and R. Bustamante, "Fair bandwidth allocation in wireless mesh networks with cognitive radios," IEEE Transactions on Vehicular Technology, vol. 59, no. 3, pp. 1487-1496, March, 2010. DOI ScienceOn
5	D. T. Ngo and L. N. Tho, "Distributed resource allocation for cognitive radio networks with spectrum-sharing constraints," IEEE Transactions on Vehicular Technology, vol. 56, no. 7, pp. 3436-3449, September, 2011.
6	S. M. Almalfouh and G. L. Stuber, "Interference-aware power allocation in cognitive radio networks with imperfect spectrum sensing," IEEE International Conference on Communications (ICC), May, 2010.
7	A. Oppenheim and R. Schafer, Digital signal processing, Prentice-Hall, 1975.
8	Z. Zhang, W. Zhang and C. Tellambura, "Cooperative OFDM channel estimation in the presence of frequency offsets," IEEE Transactions on Vehicular Technology, vol. 58, no. 7, pp. 3447-3459, September, 2009. DOI ScienceOn
9	Z. Zhang, W. Zhang and C. Tellambura, "OFDMA uplink frequency offset estimation via cooperative relaying,", IEEE Transactions Wireless Communications, vol.8, no.9, pp.4450-4456, September, 2009. DOI ScienceOn
10	C. Xing, Z. Fei, N. Li, Y. Han, D. Danev and J. Kuang, "Statistically robust resource allocation for distributed multi-carrier cooperative networks," SCIENCE CHINA Information Sciences, vol. 56, no. 2, pp. 109-121, February, 2013.
11	Z. Zhang, K. Long and J. Wang, "Self-Organization Paradigms and Optimization Approaches for Cognitive Radio Technologies: A Survey," IEEE Wireless Communications Magazine, vol. 20, no. 2, pp. 36-42, April, 2013.
12	S. Hu, Y. Yao and Z. Yang, "MAC protocol identification approach for implement smart cognitive radio," in Proc. of IEEE International Conference on Communications (ICC) Workshop, pp. 5608-5612, June, 2012.
13	B. Zhong, Z. Zhang, X. Zhang, Y. Li and K. Long, "Impact of partial relay selection on the capacity of communications systems with outdated CSI and adaptive transmission techniques," EURASIP Journal on Wireless Communications and Networking 2013, February, 2013.
14	S. Hu, Y. Yao and Z. Yang, "Cognitive medium access control protocols for secondary users sharing a common channel with time division multiple access primary users," Wireless Communications and Mobile Computing, January, 2012.
15	S. M. Almalfouh and G. L. Stüber, "Interference-aware radio resource allocation in OFDMA-based cognitive radio networks," IEEE Transactions on Vehicular Technology, vol. 60, no. 4, pp. 1699-1713, May, 2011. DOI ScienceOn
16	S. Hua, Y. Guo, Y. Liu, H. Liu and S. S. Panwar, "Scalable video multicast in hybrid 3G/Ad-hoc networks", IEEE Transactions on Multimedia, vol.13, no.2, pp. 402-413, April, 2011. DOI ScienceOn
17	J. Mitola III, "Cognitive radio: making software radios more personal," IEEE Personal Communications, vol. 6, no. 4, pp. 13-18, August, 1999. DOI ScienceOn
18	X. Qiu and K. Chawla, "On the performance of adaptive modulation in cellular systems," IEEE Transactions on Communications, vol. 47, no. 6, pp. 884-895, June, 1999. DOI ScienceOn
19	Z. Hasan, E. Hossain, C. Despins and V. K. Bhargava, "Power allocation for cognitive radios based on primary user activity in an OFDM system," IEEE Global Telecommunications Conference (GLOBECOM), pp. 1-6, December, 2008.
20	T. Weiss, J. Hillenbrand, A. Krohn and F. K. Jondral, "Mutual interference in OFDM-based spectrum pooling systems," IEEE Vehicular Technology Conference (VTC), vol. 4, pp. 1873-1877, April, 2004.

Reference

16	(2014) IET communications Joint resource allocation and power control for cellular and device‐to‐device multicast based on cognitive radio / 8 (16) , 2805
1	(2013) KSII Transactions on internet and information systems : TIIS Joint Resource Allocation for Cellular and D2D Multicast Based on Cognitive Radio / 8 (1) , 91
3	(2013) International journal of interdisciplinary telecommunications and networking Enabling Cellular Device to Device Data Exchange on WISDOM 5G by Actuating Cooperative Communication Based on SMNAT : / 6 (3) , 37
9	(2014) KSII Transactions on internet and information systems : TIIS Performance Analysis of a Dense Device to Device Network / 8 (9) , 2967
6	(2015) IETE journal of research Optimal Operating Condition for Co-located Device-to-Device Paris / 61 (6) , 673
2	(2013) KSII Transactions on internet and information systems : TIIS A Survey of Energy Efficiency Optimization in Heterogeneous Cellular Networks / 10 (2) , 462
3	(2013) Telecommunication systems Cooperative energy efficient D2D clustering in LTE-A with enhanced QoS / 67 (3) , 401

1	Joint Resource Allocation for Cellular and D2D Multicast Based on Cognitive Radio / [Wu, Xiaolu;Chen, Yueyun;] / KSII Transactions on Internet and Information Systems (TIIS)
2	Performance Analysis of a Dense Device to Device Network / [Kim, Seung-Yeon;Lim, Chi-Hun;Cho, Choong-Ho;] / KSII Transactions on Internet and Information Systems (TIIS)