Ant ColonyPerformance Evaluation and Optimization–based Resource Allocation for D2D Communication

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2019 by IJCTT Journal
Volume-67 Issue-5
Year of Publication : 2019
Authors : Mohammed Mahmoud Abd El-Hamid Nasr , Mohamed Fared Zaghloul , Reda Abo Elez , Ahmed Rashad Khalifa
  10.14445/22312803/IJCTT-V67I5P112

MLA

MLA Style:Mohammed Mahmoud Abd El-Hamid Nasr , Mohamed Fared Zaghloul , Reda Abo Elez , Ahmed Rashad Khalifa"Ant ColonyPerformance Evaluation and Optimization–based Resource Allocation for D2D Communication" International Journal of Computer Trends and Technology 67.5 (2019): 70-77.

APA Style: Mohammed Mahmoud Abd El-Hamid Nasr , Mohamed Fared Zaghloul , Reda Abo Elez , Ahmed Rashad Khalifa (2019). Ant ColonyPerformance Evaluation and Optimization–based Resource Allocation for D2D Communication International Journal of Computer Trends and Technology, 67(5), 70-77.

Abstract
In the fifth generation (5G), it is anticipated that device-to-device (D2D) operation will be locally incorporated as a part without any bounds. In Device-to-Device D2D network, Device-to-Device (D2D) communication recently has been developed as a new paradigm that supports spectrum reuse inside a cell, and enhancement quality of service (QoS) and leading to expert user experience. Spectrum allocation problem is an important part in the study of D2D communication and represent an open challenges in the spectrum allocation under D2D communication scenario. The resource allocation for D2D design consider the best solution towards this challenge. In this paper, we propose a D2D in which the resource allocation problem is formulated. Then, a resource allocation scheme based on Ant Colony Optimization (ACO) algorithm. . Finally, ACO is considered best solution oriented to identifying interference and establishing D2D links that can optimizing the same resources, consulting a graph representation of the network. Simulation using matlabtool studies and show self-learning nature , which results to a comparable performance to that of an optimal resource allocator. The swarm intelligence algorithm ACO, is adopted to resolve the optimization problem of maximizing the network sum rate while considering the QoS requirements.

Reference
[1] P. Janis, C. Yu, K. Doppler, C. Ribeiro, et al., “Device-to-Device Communication Underlaying Cellular Communications Systems,” Int’l J. Commun. Netw. Syst. Sci., vol. 02, no. 03, pp. 169–178, June 2009.
[2] A. Asadi, Q. Wang, and V. Mancuso, “A Survey on Device-to-Device Communication in Cellular Networks,” IEEE Commun.Surv. Tutorials, Apr. 2014.
[3] M. Belleschi, G. Fodor, and A. Abrardo, “Performance analysis of a distributed resource allocation scheme for D2D communications,” in IEEE GLOBECOM Workshops (GC Wkshps), pp. 358–362, Houston, TX, Dec. 2011.
[4] C. Xu, L. Song, Z. Han, Q. Zhao, et al., “Interference-aware resource allocation for device-to-device communications as an underlay using sequential second price auction,” in IEEE International Conference on Communications (ICC), pp. 445–449, Ottawa, ON, June 2012.
[5] P. Janis, V. Koivunen, C. Ribeiro, J. Korhonen, et al., “Interference- Aware Resource Allocation for Device-to-Device Radio Underlaying Cellular Networks,” in IEEE 69th V2x Technology Conference (VTC Spring), pp. 1–5, Barcelona, Apr. 2009.
[6] R. Zhang, X. Cheng, L. Yang, and B. Jiao, “Interference Graph Based Resource Allocation (InGRA) for D2D Communications Underlaying Cellular Networks,” IEEE Trans. Veh. Technol., Sept. 2014.
[7] D. Tsolkas, E. Liotou, N. Passas, and L. Merakos, “A Graph-Coloring Secondary Resource Allocation for D2D Communications in LTE Networks,” in 17th IEEE International Workshop on Computer-Aided Modeling Analysis and Design of Communication Links and Networks (CAMAD), pp. 56-60, Barcelona, Sept. 2012.
[8] V. Maniezzo, L. Gambardella, and F. de Luigi, “Ant Colony Optimization,” in New Optimization Techniques in Engineering, Springer Berlin Heidelberg, vol. 141, pp. 101-121, 2004.
[9] J. C. Ikuno, M. Wrulich, and M. Rupp, “System level simulation of LTE networks,” in Proc. 2010 IEEE 71st V2x Technology Conference, pp. 1-5, Taipei, Taiwan, May 2010.
[10] M. Dorigo and T. Stützle, “Ant Colony Optimization Algorithms for the Traveling Salesman Problem,” in Ant Colony Optimization, Bradford Co., Scituate, MA, USA, 2004.
[11] "Definition: outage probability". www.its.bldrdoc.gov. This science article is a stub. You can help Wikipedia by expanding itRetrieved 2017-05-05.
[12] J. Kim, J. Lee, S. Moon, and I. Hwang, "A Position-based Resource Allocation Scheme for V2V Communication", Wireless Personal Communications, Springer US, 2017, pp. 1-18.
[13] M. Botsov, M. Klugel, W. Kellerer, and P. Fertl, "Location dependent resource allocation for mobile device-to-device communications", in Proceedings of the IEEEWireless Communications and Networking Conference, 2014, pp. 1679–1684.

Keywords
Device-to-Device; Ant Colony Optimization; Spectrum allocation; resource allocation; spatial spectrum reuse; QoS requirements; LTE-Advanced