Energy Saving in D2D Cellular 6G Networks
Abstract
In this paper we introduce the history of the D2D communication, then We find the optimal way to get higher energy efficiency. Optimal use of radio resources in cellular telecommunication networks with device-to-device (D2D) communication, in which D2D users are in one of three modes of indirect (via base station) and direct (including reusable and proprietary) scenarios. The main goal of this research is to find the optimal energy methods in this type of communication and to select the mode in which D2D communication has a higher energy efficiency mode. In this paper, a solution based on a coalition game is proposed to select the communication modes with the highest energy efficiency. D2D links can decide to leave or join a coalition based on energy efficiency. Eliminating situations that do not provide the required minimum rate and simultaneously considering power and data rates are two new ideas in this research that reduce computational complexity and guarantee energy efficiency increase. By means of simulation in MATLAB environment, the higher energy efficiency of the proposed algorithm is proved at different signal-to-noise ratios.
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Incorporating flexible and reconfigurable radio frequency front-ends into the hardware design enables dynamic adjustments tailored to specific communication requirements.
“Incorporating flexible and reconfigurable radio frequency front-ends into the hardware design enables dynamic adjustments tailored to specific communication requirements.”
From Towards 6G V2X Sidelink: Survey of Resource Allocation—Mathematical Formulations, Challenges, and Proposed Solutions (2024) · cites this paper as [145]
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Annu, & Rajalakshmi, P. (2024) · IEEE Open Journal of Vehicular Technology · doi:10.1109/ojvt.2024.3368240 · Cited by 73 · see citing works
- Authors
- Ziyaee Amiri, M. H., Mohammad Nazemi, A., Namazi, M., Amri, K. J., & Ziyaee Amiri, F.
- Affiliations
- Payame Noor University (IR)
- Venue
- 2020 10th International Conference on Computer and Knowledge Engineering (ICCKE)
- Publisher
- IEEE
- Published
- 2020-10-29
- Volume
- pp
- Pages
- 676-682
- OpenAlex
- W3113458667
- Cited by
- 2
- References
- 0
- Citations by year
- 2024: 2
- FWCI
- 0.00
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Conference on Computer and Knowledge Engineering (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced MIMO Systems Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Full-Duplex Wireless Communications
- Physical Sciences › Computer Science › Computer Networks and Communications › Cooperative Communication and Network Coding
- Keywords
- device-to-device communication, energy efficiency, 6G, cooperative games, communication mode selection, radio resource allocation, signal-to-noise ratio
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