Research Article

Precoded Universal MIMO Superposition Transmission for Achieving Optimal Coverage and High Throughput in 6G and Beyond Networks

Volume: 11 Number: 1 January 30, 2023
EN

Precoded Universal MIMO Superposition Transmission for Achieving Optimal Coverage and High Throughput in 6G and Beyond Networks

Abstract

A wireless network can utilize its entire resources to serve users without any allocation and provide upgraded performances such as enhanced throughput and high reliability without interference among users. However, previous wireless communication technologies could not bring the full utilization of network resources and overcome the challenge of forgoing scheduling among users. Therefore, to address these requirements, we propose and develop a novel design coined as Precoded Universal MIMO Superposition Transmission (PU-MIMO-ST) that can also be applicable for the most challenging and worst case interference scenario where the number of antenna points (APs) and the number of user equipment (UEs) is equal. In the considered system model, the APs are linked to a central processing unit (CPU) via backhaul and the UEs receive cooperation from the network resulting in achieving the optimal usage of network resources. The results obtained from computer simulations proof and verify the effectiveness of the proposed design called PU-MIMO-ST compared with other competitive works in terms of reliability, throughput, reduced complexity on the reception side, as well as power conservation.

Keywords

References

  1. Reference1 S. Elhoushy, M. Ibrahim, and W. Hamouda, “Cell-free massive MIMO: A survey,” IEEE Communications Surveys & Tutorials, vol. 24, no. 1, 2021.
  2. Reference2 M. A. Albreem, M. Juntti, and S. Shahabuddin, “Massive MIMO detection techniques: A survey,” IEEE Communications Surveys & Tutorials, vol. 21, no. 4, pp. 3109–3132, 2019.
  3. Reference3 N. Fatema, G. Hua, Y. Xiang, D. Peng, and I. Natgunanathan, “Massive MIMO linear precoding: A survey,” IEEE systems journal, vol. 12, no. 4, pp. 3920–3931, 2017.
  4. Reference4 J. Wu, Z. Zhang, Y. Hong, and Y. Wen, “Cloud radio access network (C-RAN): a primer,” IEEE network, vol. 29, no. 1, pp. 35–41, 2015.
  5. Reference5 S. Elhoshy, M. Ibrahim, M. Ashour, T. Elshabrawy, H. Hammad, and M. M. Rizk, “A dimensioning framework for indoor DAS LTE networks,” in 2016 International Conference on Selected Topics in Mobile & Wireless Networking (MoWNeT). IEEE, 2016, pp. 1–8.
  6. Reference6 X. Zhang, K. Sundaresan, M. A. Khojastepour, S. Rangarajan, and K. G. Shin, “NEMOx: Scalable network MIMO for wireless networks,” in Proceedings of the 19th annual international conference on Mobile computing & networking, 2013, pp. 453–464.
  7. Reference7 D. Gesbert, S. Hanly, H. Huang, S. S. Shitz, O. Simeone, and W. Yu, “Multi-cell MIMO cooperative networks: A new look at interference,” IEEE journal on selected areas in communications, vol. 28, no. 9, pp. 1380–1408, 2010.
  8. Reference8 H. V. Balan, R. Rogalin, A. Michaloliakos, K. Psounis, and G. Caire, “Achieving high data rates in a distributed MIMO system,” in Proceed- ings of the 18th annual international conference on Mobile computing and networking, 2012, pp. 41–52.

Details

Primary Language

English

Subjects

Electrical Engineering

Journal Section

Research Article

Publication Date

January 30, 2023

Submission Date

September 20, 2022

Acceptance Date

December 14, 2022

Published in Issue

Year 2023 Volume: 11 Number: 1

APA
Iqbal, S., & Hamamreh, J. M. (2023). Precoded Universal MIMO Superposition Transmission for Achieving Optimal Coverage and High Throughput in 6G and Beyond Networks. Balkan Journal of Electrical and Computer Engineering, 11(1), 25-34. https://doi.org/10.17694/bajece.1177534
AMA
1.Iqbal S, Hamamreh JM. Precoded Universal MIMO Superposition Transmission for Achieving Optimal Coverage and High Throughput in 6G and Beyond Networks. Balkan Journal of Electrical and Computer Engineering. 2023;11(1):25-34. doi:10.17694/bajece.1177534
Chicago
Iqbal, Sadiq, and Jehad M. Hamamreh. 2023. “Precoded Universal MIMO Superposition Transmission for Achieving Optimal Coverage and High Throughput in 6G and Beyond Networks”. Balkan Journal of Electrical and Computer Engineering 11 (1): 25-34. https://doi.org/10.17694/bajece.1177534.
EndNote
Iqbal S, Hamamreh JM (January 1, 2023) Precoded Universal MIMO Superposition Transmission for Achieving Optimal Coverage and High Throughput in 6G and Beyond Networks. Balkan Journal of Electrical and Computer Engineering 11 1 25–34.
IEEE
[1]S. Iqbal and J. M. Hamamreh, “Precoded Universal MIMO Superposition Transmission for Achieving Optimal Coverage and High Throughput in 6G and Beyond Networks”, Balkan Journal of Electrical and Computer Engineering, vol. 11, no. 1, pp. 25–34, Jan. 2023, doi: 10.17694/bajece.1177534.
ISNAD
Iqbal, Sadiq - Hamamreh, Jehad M. “Precoded Universal MIMO Superposition Transmission for Achieving Optimal Coverage and High Throughput in 6G and Beyond Networks”. Balkan Journal of Electrical and Computer Engineering 11/1 (January 1, 2023): 25-34. https://doi.org/10.17694/bajece.1177534.
JAMA
1.Iqbal S, Hamamreh JM. Precoded Universal MIMO Superposition Transmission for Achieving Optimal Coverage and High Throughput in 6G and Beyond Networks. Balkan Journal of Electrical and Computer Engineering. 2023;11:25–34.
MLA
Iqbal, Sadiq, and Jehad M. Hamamreh. “Precoded Universal MIMO Superposition Transmission for Achieving Optimal Coverage and High Throughput in 6G and Beyond Networks”. Balkan Journal of Electrical and Computer Engineering, vol. 11, no. 1, Jan. 2023, pp. 25-34, doi:10.17694/bajece.1177534.
Vancouver
1.Sadiq Iqbal, Jehad M. Hamamreh. Precoded Universal MIMO Superposition Transmission for Achieving Optimal Coverage and High Throughput in 6G and Beyond Networks. Balkan Journal of Electrical and Computer Engineering. 2023 Jan. 1;11(1):25-34. doi:10.17694/bajece.1177534

Cited By

All articles published by BAJECE are licensed under the Creative Commons Attribution 4.0 International License. This permits anyone to copy, redistribute, remix, transmit and adapt the work provided the original work and source is appropriately cited.Creative Commons Lisansı