User Satisfaction Based Resource Allocation Using Artificial Fish Swarm Algorithm for D2D Communication

Abstract:

D2D communication can facilitate diverse local services and ease the load of base station. However, traditional resource allocation schemes for D2D communication were simply aiming at maximizing the sum-rate capacity or minimizing the mutual interference of the system but ignoring users satisfaction, which were discussed usually under the premise that the system resource was sufficient for the fixed number of users or restricted in the flexibility of spectral reuse. In the resource constrained system, aiming at maximizing average system satisfaction degree, a more flexible resource allocation scheme based on optimized artificial fish swarm algorithm (USRA-AFSA) is proposed in this paper, in which user satisfaction degree models are established and different D2D links are allowed to coexist on the same subchannel. With solutions mapped onto artificial fish, the simulation results show that the proposed scheme achieves higher average system satisfaction degree and larger system throughput compared with other schemes.

• Periodical: Applied Mechanics and Materials (Volumes 475-476)
• Pages: 885-892
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.475-476.885
• Online since: December 2013
• Authors: Ming Han*, Ping Wang, Hui Fang Pang, Fu Qiang Liu, Xin Hong Wang, Ngoc Van Nguyen
• Keywords: AFSA, Device-to-Device Communication, Resource Allocation, Spectral Efficiency, User Satisfaction

References

[1] Jänis P, Yu C H, Doppler K, et al. Device-to-Device Communication Underlaying Cellular Communications Systems[J]. IJCNS, 2009, 2(3): 169-178.

DOI: 10.4236/ijcns.2009.23019

[2] Hakola S, Chen T, Lehtomaki J, et al. Device-to-device (D2D) communication in cellular network-performance analysis of optimum and practical communication mode selection[C]/Wireless Communications and Networking Conference (WCNC), 2010 IEEE. IEEE, 2010: 1-6.

DOI: 10.1109/wcnc.2010.5506133

[3] Chen X, Chen L, Zeng M, et al. Downlink resource allocation for Device-to-Device communication underlaying cellular networks[C]/Personal Indoor and Mobile Radio Communications (PIMRC), 2012 IEEE 23rd International Symposium on. IEEE, 2012: 232-237.

DOI: 10.1109/pimrc.2012.6362746

[4] Zulhasnine M, Huang C, Srinivasan A. Efficient resource allocation for device-to-device communication underlaying LTE network[C]/Wireless and Mobile Computing, Networking and Communications (WiMob), 2010 IEEE 6th International Conference on. IEEE, 2010: 368-375.

DOI: 10.1109/wimob.2010.5645039

[5] Wang B, Chen L, Chen X, et al. Resource allocation optimization for device-to-device communication underlaying cellular networks[C]/Vehicular Technology Conference (VTC Spring), 2011 IEEE 73rd. IEEE, 2011: 1-6.

DOI: 10.1109/vetecs.2011.5956157

[6] Liu Q, Yu H, Chen C W. Enhancing multimedia QoS with device-to-device communication as an underlay in lte networks[C]/Multimedia and Expo (ICME), 2013 IEEE International Conference on. IEEE, 2013: 1-6.

DOI: 10.1109/icme.2013.6607563

[7] Zhu X, Wen S, Cao G, et al. QoS-based resource allocation scheme for Device-to-Device (D2D) radio underlaying cellular networks[C]/Telecommunications (ICT), 2012 19th International Conference on. IEEE, 2012: 1-6.

DOI: 10.1109/ictel.2012.6221213

[8] Su L, Ji Y, Wang P, et al. Resource allocation using particle swarm optimization for D2D communication underlay of cellular networks[C]/Wireless Communications and Networking Conference (WCNC), 2013 IEEE. IEEE, 2013: 129-133.

DOI: 10.1109/wcnc.2013.6554551

[9] Lee D H, Choi K W, Jeon W S, et al. Resource allocation scheme for device-to-device communication for maximizing spatial reuse[C]/Wireless Communications and Networking Conference (WCNC), 2013 IEEE. IEEE, 2013: 112-117.

DOI: 10.1109/wcnc.2013.6554548

[10] Nguyen H A, Van Nguyen T, Choi D. How to maximize user satisfaction degree in multi-service IP networks[C]/Intelligent Information and Database Systems, 2009. ACIIDS 2009. First Asian Conference on. IEEE, 2009: 471-476.

DOI: 10.1109/aciids.2009.16

[11] Hu J, Zeng X, Xiao J. Artificial Fish School Algorithm for Function Optimization[C]/ Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on. IEEE, 2010: 1-4.

DOI: 10.1109/iciecs.2010.5678350