Optimal Power Allocation and Delay Minimization Based on Conflict Graph Algorithm for Device-to-Device Communications
Source abstract
Abstract
Device-to-device (D2D) technology is a promising technique in terms of being capable of providing efficiency, decreased latency, improved data rate, and increased capacity to cellular networks. Allocating power to users in order to reduce energy consumption and maintain quality of service (QoS) remains a major challenge in D2D communications. In this paper, we aim to maximize the throughput of D2D users and cellular users subject to QoS requirements and signal-to-interference-plus-noise ratio (SINR). To this end, we propose a resource and power allocation approach called optimal power allocation and delay minimization based on the conflict graph (OP-DMCG) algorithm that considers optimal power allocation for D2D multi-users in the cellular uplink channels and minimization of the total network delay using conflict graphs. Based on the simulations presented in this paper, we show that the proposed OP-DMCG algorithm outperforms the greedy throughput maximization plus (GTM+), delay minimization conflict graph (DMCG), and power and delay optimization based uplink resource allocation (PDO-URA) algorithms in terms of both total network throughput and total D2D throughput.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced MIMO Systems Optimization · Advanced Wireless Network Optimization · Cooperative Communication and Network Coding
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Electrical, Mechanical and Computer Engineering, Federal University of Goiás, Goiás 74690-900, Brazil
Funding
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
References (35)
Show source-provided references
1. Cisco (2011). Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2010–2015, White Paper, February, Cisco.
2. Secrecy-ensured NOMA-based Cooperative D2D-aided Fog Computing under Imperfect CSI
3. Next Generation 5G Wireless Networks: A Comprehensive Survey10.1109/COMST.2016.2532458 ↗
4. A Survey of 5G Network: Architecture and Emerging Technologies10.1109/ACCESS.2015.2461602 ↗
5. Fallgren, M., and Timus, B. (2023, October 28). Scenarios, Requirements and KPIs for 5G Mobile and Wireless System. Document ICT-317669-METIS/D1.1, April 2013. Available online: https://cordis.europa.eu/docs/projects/cnect/9/317669/080/deliverables/001-METISD11v1pdf.pdf.
6. Nordrum, C. (2023, October 13). Everything You Need to Know about 5G. Available online: https://spectrum.ieee.org/everything-you-need-to-know-about-5g.
7. Arrow (2023, October 13). The Democratization of Innovation for the Internet of Things. Available online: https://spectrum.ieee.org/the-democratization-of-innovation-for-the-internet-of-things.
8. Drozdy, A., Kantor, P., and Bito, J. (2016, January 10–15). Effects of rain fading in 5G millimeter wavelength mesh networks. Proceedings of the 2016 10th European Conference on Antennas and Propagation (EuCAP), Davos, Switzerland.10.1109/EuCAP.2016.7481521 ↗
9. Belleschi, M., Fodor, G., and Abrardo, A. (2011, January 5–9). Performance analysis of a distributed resource allocation scheme for D2D communications. Proceedings of the 2011 IEEE GLOBECOM Workshops (GC Wkshps), Houston, TX, USA.10.1109/GLOCOMW.2011.6162471 ↗
10. In-band device-to-device communication in OFDMA cellular networks: A survey and challenges10.1109/COMST.2015.2447036 ↗
11. Power Allocation for D2D Communications with SWIPT10.1109/TWC.2019.2963833 ↗
12. Cognitive Radio Game for Secondary Spectrum Access Problem10.1109/TWC.2009.080884 ↗
13. Berman, A., and Plemmons, R.J. (1994). Nonnegative Matrices in the Mathematical Sciences, SIAM.10.1137/1.9781611971262 ↗
14. A survey on device-to-device (D2D) communication: Architecture and security issues10.1016/j.jnca.2016.11.002 ↗
15. Chai, Y., Du, Q., and Ren, P. (2013, January 9–13). Partial time-frequency resource allocation for device-to-device communications underlaying cellular networks. Proceedings of the 2013 IEEE International Conference on Communications (ICC), Budapest, Hungary.10.1109/ICC.2013.6655570 ↗
16. Gupta, S., Patel, R., Gupta, R., Tanwar, S., and Patel, N. (2022, January 27–28). A Survey on Resource Allocation Schemes in Device-to-Device Communication. Proceedings of the 2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence), Noida, India.10.1109/Confluence52989.2022.9734183 ↗
17. A comprehensive evaluation of ensemble machine learning in geotechnical stability analysis and explainability
18. Yu, S., Jeong, Y., and Lee, J. (2021, January 13–16). Resource Allocation Scheme Based on Deep Reinforcement Learning for Device-to-Device Communications. Proceedings of the 2021 International Conference on Information Networking (ICOIN), Jeju Island, Republic of Korea.10.1109/ICOIN50884.2021.9333953 ↗
19. Graph-Theory-Based Resource Allocation and Mode Selection in D2D Communication Systems: The Role of Full-Duplex10.1109/LWC.2020.3025312 ↗
20. D2D Resource Allocation Mechanism Based on Energy Efficiency Optimization in Heterogeneous Networks
21. Ciou, S.A., Kao, J., Lee, C.Y., and Chen, K. (September, January 30). Multi-sharing resource allocation for device-to-device communication underlaying 5G mobile networks. Proceedings of the 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Hong Kong, China.10.1109/PIMRC.2015.7343537 ↗
22. Data networks as cascades: Investigating the multifractal nature of internet wan traffic10.1145/285243.285256 ↗
23. Rocha, F., Araújo, S., Castro, M., Vieira, F.H., and Ferreira, M. (2015, January 1–4). Alocação de Blocos de Recurso em Redes LTE com Estimativa de Limitante de Retardo através de Cálculo de Rede. Proceedings of the XXXIII Simpósio Brasileiro de Telecomunicações (SBrT), Juiz de Fora, Brazil.
24. Estimation of backlog and delay in OFDM/TDMA systems with traffic policing through network calculus10.1109/TLA.2015.7069107 ↗
25. Costa, V.H.T. (2013). Análise de Desempenho de Sistemas de Comunicação Ofdm-Tdma Utilizando Cadeias de Markov e Curva de Serviço. [Master’s Thesis, Programa de Pós-Graduação em Engenharia Elétrica e da Computação (EMC), Escola de Engenharia Elétrica, Mecânica e de Computação—EMC].
26. Ferreira, M.V.G., Vieira, F.H.T., and Abrahão, D.C. (2015, January 14–17). Minimizing delay in resource block allocation algorithm of lte downlink. Proceedings of the 2015 International Workshop on Telecommunications (IWT), Santa Rita do Sapucai, Brazil.10.1109/IWT.2015.7224550 ↗
27. Delay minimization based uplink resource allocation for device-to-device communications considering mmWave propagation10.7717/peerj-cs.462 ↗
28. Power and delay optimization based uplink resource allocation for wireless networks with device-to-device communications10.1016/j.comcom.2022.07.040 ↗
29. (2023, October 28). GPP TS 38.104 Version 15.2.0 Release 15. 5G; NR; Base Station (BS) Radio Transmission and Reception. Available online: https://www.etsi.org/deliver/etsi_ts/138100_138199/138104/15.02.00_60/ts_138104v150200p.pdf.
30. Link resource adaptation for multiantenna bit-interleaved coded multicarrier systems10.1109/TSP.2012.2192110 ↗
31. Chen, Y., and Ma, C. (2020, January 11–14). Overview of D2D communication technology under 5G cellular network coverage. Proceedings of the 2020 IEEE 6th International Conference on Computer and Communications (ICCC), Chengdu, China.10.1109/ICCC51575.2020.9344968 ↗
32. Omorinoye, A., Vien, Q., Le, T., and Shah, P. (2019, January 19). An Optimal Power Allocation for D2D Communications over Multi-user Cellular Uplink Channels. Proceedings of the Industrial Networks and Intelligent Systems: 5th EAI International Conference, INISCOM 2019, Ho Chi Minh City, Vietnam.10.1007/978-3-030-30149-1_5 ↗
33. Garg, V. (2007). Wireless Communications & Networking, Kaufmann M. Publishers Inc.
34. Sun, H., Sheng, M., Wang, X., Zhang, Y., Liu, J., and Wang, K. (2013, January 12–14). Resource allocation for maximizing the device-to-device communications underlaying lte-advanced networks. Proceedings of the 2013 IEEE/CIC International Conference on Communications in China—Workshops (CIC/ICCC), Xi’an, China.10.1109/ICCChinaW.2013.6670568 ↗
35. Jain, R., Chiu, D.M., and Wr, H. (1998). A Quantitative Measure Of Fairness and Discrimination for Resource Allocation in Shared Computer Systems. arXiv.