Performance of resource allocation in device-to-device communication systems based on particle swarm optimization

In this study, the resource blocks (RB) are allocated to user equipment (UE) according to the evolutional algorithms for long term evolution (LTE) systems. Particle Swarm Optimization (PSO) algorithm is one of the evolutionary algorithms, based on the imitation of a flock of birds foraging behavior through learning and grouping the best experience. Therefore, we propose a Simple Particle Swarm Optimization (SPSO) algorithm for RB allocation to enhance the throughput of Device-to-Device (D2D) communications and improve the system capacity performance. The simulation results show that with less population size of M=10, the SPSO can perform quickly convergence to sub-optimal solution in the 100'h generation. Therefore, as compared to the random allocation (Rand) method, the proposed SPSO can obtain sub-optimum performance with more 2 UEs than the Rand method.

[1]  Daniel Camps-Mur,et al.  Device-to-device communications with Wi-Fi Direct: overview and experimentation , 2013, IEEE Wireless Communications.

[2]  Leonardo Babun.  Extended Coverage for Public Safety and Critical Communications Using Multi-hop and D2D Communications , 2015 .

[3]  Wenbo Wang,et al.  Interference Constrained D2D Communication with Relay Underlaying Cellular Networks , 2013, 2013 IEEE 78th Vehicular Technology Conference (VTC Fall).

[4]  Ramjee Prasad,et al.  Multicarrier techniques for 4G mobile communications , 2003 .

[5]  Bin Cao,et al.  An advanced spectrum allocation algorithm for the across-cell D2D communication in LTE network with higher throughput , 2016 .

[6]  Hao Peng,et al.  Ultra dense network: Challenges, enabling technologies and new trends , 2016 .

[7]  Li Yun,et al.  An advanced spectrum allocation algorithm for the across-cell D2D communication in LTE network with higher throughput , 2016, China Communications.

[8]  Shih-Hsin Chen,et al.  Operators of the Two-Part Encoding Genetic Algorithm in Solving the Multiple Traveling Salesmen Problem , 2011, 2011 International Conference on Technologies and Applications of Artificial Intelligence.

[9]  Robert A. Greenes,et al.  SMART--an integrated wireless system for monitoring unattended patients. , 2008, Journal of the American Medical Informatics Association : JAMIA.

[10]  Ekram Hossain,et al.  Distributed Resource Allocation for Relay-Aided Device-to-Device Communication: A Message Passing Approach , 2014, IEEE Transactions on Wireless Communications.

[11]  Ekram Hossain,et al.  Resource allocation for network-integrated device-to-device communications using smart relays , 2013, 2013 IEEE Globecom Workshops (GC Wkshps).

[12]  Tan-Hsu Tan,et al.  Ubiquitous Emergency Medical Service System Based on Wireless Biosensors, Traffic Information, and Wireless Communication Technologies: Development and Evaluation , 2017, Sensors.