Resource Allocation Algorithm Based on Multi-objective Optimization in D2D Communication
- DOI
- 10.2991/cimns-18.2018.1How to use a DOI?
- Keywords
- D2D communication; resource allocation; multi-objective optimization; equilibrium
- Abstract
At present, the algorithm for solving the problem of resource sharing in D2D communication and cellular communication in cellular networks is mostly optimized for a single target. This paper proposes a general resource allocation algorithm based on multi-objective optimization, which optimizes system throughput and total system energy efficiency while ensuring QoS (Quality of Service). In this paper, the non-inferior solution of D2D user transmit power is obtained by combining objective function and constraint with Particle Swarm Optimization. In addition, the algorithm allows different requirements to be set according to different business needs and sub-goal preferences to obtain different solutions. The simulation shows that the algorithm can optimize the system performance by optimizing the system throughput and total energy efficiency of the cellular network.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xueying Han AU - Yi Sun PY - 2018/11 DA - 2018/11 TI - Resource Allocation Algorithm Based on Multi-objective Optimization in D2D Communication BT - Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018) PB - Atlantis Press SP - 1 EP - 4 SN - 2352-538X UR - https://doi.org/10.2991/cimns-18.2018.1 DO - 10.2991/cimns-18.2018.1 ID - Han2018/11 ER -