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Effective power allocation and distribution for 6 g – network in a box enabled peer to peer wireless communication networks

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Abstract

Nowadays, the infrastructure for major broadband networking in cellular communication introduces 6G-Network in a box (6th Generation-NIB) mobile phone networks. As surveyed, the functional execution of 6G-NIB networks addresses several unresolved problems, like assigning power to all points, power management, and efficient distribution. Hence, these unresolved issues have been taken into consideration and resolved through an optimized power allocation and distribution system using the Quasi-Convex Problem-Solving approach of Serial Polynomial Programming (SPP). It helps to boost the energy level of all the points among the peer to peer network and spectral performance of 6G-NIB has been substantially improved without compromising the network Quality of Service (QoS). In considering the transmission power, QoS, and sequential interference elimination (SIE) constraints, To test the proposed power allocation structure and to demonstrate improved efficiency against the traditional method, the simulation environment has been analyzed using Monte Carlo Simulation. The outcomes indicate that the proposed SPP-based power optimization principle greatly enhances 6G -NIB enabled Internet of Things (IoT) network efficiency and performance effectively.

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References

  1. Nguyen, D. C., Cheng, P., Ding, M., Lopez-Perez, D., Pathirana, P. N., Li, J., … Poor, H. V. (2020). Wireless AI: Enabling an AI-Governed Data Life Cycle. arXiv preprint arXiv:2003.00866

  2. Hui H, Ding Y, Shi Q, Li F, Song Y, Yan J (2020) 5G network-based internet of things for demand response in smart grid: a survey on application potential. Appl Energy 257:113972

    Article  Google Scholar 

  3. Baskar S, Dhulipala VS (2018) Collaboration of trusted node and QoS based energy multi path routing protocol for vehicular ad hoc networks. Wirel Pers Commun 103(4):2833–2842

    Article  Google Scholar 

  4. Panda S (2020) Joint user patterning and power control optimization of MIMO–NOMA systems. Wirel Pers Commun:1–17

  5. Mobini Z (2020). Secrecy performance of non-orthogonal multiple access cognitive untrusted relaying with friendly jamming. AEU-Int J Electron Commun 153156

  6. Cherifi A, Mrabet H, Bouazza BS, Aljunid SA (2020) Performance enhancement of multiple access 3D-OCDMA networks using a pascal triangle codes. Opt Quant Electron 52(2):1–16

    Article  Google Scholar 

  7. Yu Y (2020). An overview of the wireless key technologies of 5G. In IOP conference series: materials science and engineering (Vol. 719, no. 1, p. 012046). IOP publishing

  8. Gui G, Liu M, Tang F, Kato N, Adachi F (2020) 6G: opening new horizons for integration of comfort, security and intelligence. IEEE Wirel Commun:1–7

  9. Khan WU, Jameel F, Jamshed MA, Pervaiz H, Khan S, Liu J (2020). Efficient power allocation for NOMA-enabled IoT networks in 6G era. Phys Commun 101043

  10. Asghar M, Yaqoob M, Siddiqui MA, Munawar N, Waseem A, Nabi A (2020) Flow-injection determination of manganese (II) using surfactant enhanced diperiodatonickelate (IV)-rhodamine 6G chemiluminescence. Luminescence 35(1):79–89

    Article  Google Scholar 

  11. Li X, Ni R, Chen J, Lyu Y, Rong Z, Du R (2020) End-to-end network slicing in radio access network, transport network and Core network domains. IEEE Access 8:29525–29537

    Article  Google Scholar 

  12. Abdel-Mohsen HT, Abood A, Flanagan KJ, Meindl A, Senge MO, El Diwani HI (2020) Synthesis, crystal structure, and ADME prediction studies of novel imidazopyrimidines as antibacterial and cytotoxic agents. Arch Pharm 353(3):1900271

    Article  Google Scholar 

  13. Baskar S, Periyanayagi S, Shakeel PM, Dhulipala VS (2019) An energy persistent range-dependent regulated transmission communication model for vehicular network applications. Comput Netw. https://doi.org/10.1016/j.comnet.2019.01.027

  14. Saad, W., Bennis, M., & Chen, M. (2019). A vision of 6G wireless systems: applications, trends, technologies, and open research problems. IEEE Netw

  15. Baskar S, Shakeel PM, Kumar R, Burhanuddin MA, Sampath R (2020) A dynamic and interoperable communication framework for controlling the operations of wearable sensors in smart healthcare applications. Comput Commun 149:17–26

    Article  Google Scholar 

  16. Yaacoub E, Alouini MS (2019). A key 6G challenge and opportunity--connecting the remaining 4 billions: a survey on rural connectivity. arXiv preprint arXiv:1906.11541

  17. Guo W (2019). Explainable artificial intelligence (XAI) for 6G: improving trust between human and machine. arXiv preprint arXiv:1911.04542

  18. Thakur P, Kumar A, Pandit S, Singh G, Satashia SN (2019) Frameworks of non-orthogonal multiple access techniques in cognitive radio communication systems. Chin Commun 16(6):129–149

    Article  Google Scholar 

  19. Long Q, Chen Y, Zhang H, Lei X (2019). Software defined 5G and 6G networks: a survey. Mobile networks and applications, 1-21

  20. Muruganathan S, Faxer S, Jarmyr S, Gao S, Frenne M (2019). On the system-level performance of coordinated multi-point transmission schemes in 5G NR deployment scenarios. In 2019 IEEE 90th vehicular technology conference (VTC2019-fall) (pp. 1-5). IEEE

  21. Wang Y, Chen W (2020). An AoI-optimal scheduling method for wireless transmissions with Truncated Channel inversion. arXiv preprint arXiv:2001.01234

  22. Ibrahim A, Ngatched TM, Dobre OA (2019) Using Bender’s decomposition for optimal power control and routing in multihop d2d cellular systems. IEEE Trans Wirel Commun 18(11):5050–5064

    Article  Google Scholar 

Download references

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Misrimal Navajee Munoth Jain Engineering College, Anna University, Chennai, Tamilnadu, India

    V. K. Gnanavel & A. Srinivasan

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  1. V. K. Gnanavel
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  2. A. Srinivasan
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Correspondence to V. K. Gnanavel.

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This article is part of the Topical Collection: Special Issue on Network In Box, Architecture, Networking and Applications

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Gnanavel, V.K., Srinivasan, A. Effective power allocation and distribution for 6 g – network in a box enabled peer to peer wireless communication networks. Peer-to-Peer Netw. Appl. 14, 2351–2360 (2021). https://doi.org/10.1007/s12083-020-00942-1

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  • DOI: https://doi.org/10.1007/s12083-020-00942-1

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