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Bio-inspired power control and channel allocation for cellular networks with D2D communications
- Source :
- Wireless Networks. 25:1273-1288
- Publication Year :
- 2018
- Publisher :
- Springer Science and Business Media LLC, 2018.
-
Abstract
- With the tremendous increment of traffic in the next generation mobile networks, device to device (D2D) communication is proposed to relieve the traffic burden of the base station and improve the overall network capacity. It supports direct communications between devices and could reuse the resources of cellular users (CUs). Despite the advantages, D2D communications bring great challenges in interference management. In this paper, we study the power control and channel allocation problems in three scenarios: (1) one CU and one D2D pair; (2) one CU and multiple D2D pairs; (3) multiple CUs and multiple D2D pairs. The goal is to coordinate the mutual interferences and maximize the overall network capacity. We derive sufficient conditions to guarantee the efficiency of D2D communications in scenarios with one CU and one D2D pair. We propose the bio-inspired PSO-P power control algorithm for the scenarios with one CU and multiple D2D pairs, and the PSO-CP algorithm for the scenarios with multiple CUs and multiple D2D pairs to jointly assign channels and powers. Simulation results show that the proposed algorithms are efficient in improving the overall network capacity.
- Subjects :
- Channel allocation schemes
Computer Networks and Communications
business.industry
Computer science
020302 automobile design & engineering
020206 networking & telecommunications
02 engineering and technology
Base station
0203 mechanical engineering
0202 electrical engineering, electronic engineering, information engineering
Cellular network
Electrical and Electronic Engineering
business
Information Systems
Computer network
Next Generation Mobile Networks
Power control
Communication channel
Subjects
Details
- ISSN :
- 15728196 and 10220038
- Volume :
- 25
- Database :
- OpenAIRE
- Journal :
- Wireless Networks
- Accession number :
- edsair.doi...........51a60bcdde1fe81ec73af7703d955683
- Full Text :
- https://doi.org/10.1007/s11276-018-1728-x