A NOMA-UFMC PRECODED SYSTEM FOR 6G

Details

Hits: 778

Volume 4 (2), December 2021, Pages 188-197

Imran Baig¹, Umer Farooq², Prajoona Valsalan¹, Najam Ul Hasan¹ and Manaf Zghaibeh¹

¹ Dhofar University, Salalah, Sultanate of Oman, {ibaig, pvalsalan, nulhasan, mzhbeigh}@du.edu.om

² School of Engineering, University of Sunderland, Sunderland, UK, This email address is being protected from spambots. You need JavaScript enabled to view it. 

Abstract

Multi-Carrier Waveform (MCW) modeling and design are envisioned as one of the most important and challenging for the 6th generation (6G) communication networks. In oppose to Orthogonal Frequency Division Multiplexing (OFDM) waveforms, new and innovative design techniques for MCWs have been designed and proposed in recent literature because of their performance superiority. The typical OFDM waveforms have dominated the previous generation of communication systems and proven their potential in many real-time communication environments, but it may not be sufficient to meet the ambitious target of 6G communication systems. Hence, need for new solutions like flexible MCWs and relevant technological advancements in waveform design are needed. This paper proposes designing and evaluating a new MCW design to meet the 6G requirements for spectral efficiency, throughput, and overall system capacity. On the transmitter side, the MCW design proposed in this article employs power domain multiplexing, such as Non-Orthogonal Multiple Access (NOMA), and phase-rotations of the input signal to the Universal Filtered Multi-Carriers (UFMC) modulations, where the Base-Station (BS) assigns different power levels to each user while using the same frequency resources. MATLAB® simulations were performed to assess the proposed MCW performance. Detailed simulation data are employed for comparative performance analysis of the proposed MCW. The results have shown the superior performance of the proposed MCW approach compared to the conventional 5th generation (5G) NOMA-UFMC waveform.

Keywords:

6G, MCW, OFDM, PAPR, UFMC, NOMA.

DOI: https://doi.org/10.32010/26166127.2021.4.2.188.197

Reference 

3GPP. (2017). Study on New Radio (NR) Access Technology Physical Layer Aspects.

Al-Dulaimi, A., Wang, X., & Chih-Lin, I. (Eds.). (2018). 5G Networks: fundamental requirements, enabling technologies, and operations management. John Wiley & Sons.

Al-Imari, M., Xiao, P., Imran, M. A., & Tafazolli, R. (2014, August). Uplink non-orthogonal multiple access for 5G wireless networks. In 2014 11th international symposium on wireless communications systems (ISWCS) (pp. 781-785). IEEE.

Baig, I., et al. (2020, April). A Precoding Based Power Domain UFMC Waveform for 5G Multi-Access Edge Computing. In 2020 Fifth International Conference on Fog and Mobile Edge Computing (FMEC) (pp. 34-37). IEEE.

Basar, E., et al. (2017). Index modulation techniques for next-generation wireless networks. IEEE access, 5, 16693-16746.

Dai, L., et al. (2015). Non-orthogonal multiple access for 5G: solutions, challenges, opportunities, and future research trends. IEEE Communications Magazine, 53(9), 74-81.

Ding, Z., et al. (2017). A survey on non-orthogonal multiple access for 5G networks: Research challenges and future trends. IEEE Journal on Selected Areas in Communications, 35(10), 2181-2195.

Ebrahimi, H. (2012, October). Adaptive SC-FDMA with pulse shaping for wireless cognitive radio. In 2012 International Symposium on Communications and Information Technologies (ISCIT) (pp. 519-523). IEEE.

Farhang-Boroujeny, B. (2011). OFDM versus filter bank multicarrier. IEEE signal processing magazine, 28(3), 92-112.

Lin, H. (2015). Flexible configured OFDM for 5G air interface. IEEE Access, 3, 1861-1870.

Matthaiou, M., et al. (2021). The road to 6G: Ten physical layer challenges for communications engineers. IEEE Communications Magazine, 59(1), 64-69. 

Myung, H. G., Lim, J., & Goodman, D. J. (2006). Single carrier FDMA for uplink wireless transmission. IEEE vehicular technology magazine, 1(3), 30-38.

Popovski, P., Trillingsgaard, K. F., Simeone, O., & Durisi, G. (2018). 5G wireless network slicing for eMBB, URLLC, and mMTC: A communication-theoretic view. Ieee Access, 6, 55765-55779.

Rani, P. N., & Rani, C. S. (2016, December). UFMC: The 5G modulation technique. In 2016 IEEE international conference on computational intelligence and computing research (ICCIC) (pp. 1-3). IEEE.

Schaich, F., & Wild, T. (2014, May). Waveform contenders for 5G—OFDM vs. FBMC vs. UFMC. In 2014 6th international symposium on communications, control and signal processing (ISCCSP) (pp. 457-460). IEEE.

Schaich, F., Wild, T., & Chen, Y. (2014, May). Waveform contenders for 5G-suitability for short packet and low latency transmissions. In 2014 IEEE 79th Vehicular Technology Conference (VTC Spring) (pp. 1-5). IEEE.

Schaich, F., Wild, T., & Chen, Y. (2014, May). Waveform contenders for 5G-suitability for short packet and low latency 

Series, M. (2017). Minimum requirements related to technical performance for IMT-2020 radio interface (s). Report, 2410-0.

Vakilian, V., et al. (2013, December). Universal-filtered multi-carrier technique for wireless systems beyond LTE. In 2013 IEEE Globecom Workshops (GC Wkshps) (pp. 223-228). IEEE.

Vakilian, V., et al. (2013, December). Universal-filtered multi-carrier technique for wireless systems beyond LTE. In 2013 IEEE Globecom Workshops (GC Wkshps) (pp. 223-228). IEEE.

Wikström, G., et al. (2020, March). Challenges and technologies for 6G. In 2020 2nd 6G wireless summit (6G SUMMIT) (pp. 1-5). IEEE.

Yang, P., Xiao, Y., Xiao, M., & Li, S. (2019). 6G wireless communications: Vision and potential techniques. IEEE network, 33(4), 70-75.

 Zhang, L., Xiao, P., & Quddus, A. (2016). Cyclic prefix-based universal filtered multicarrier system and performance analysis. IEEE Signal Processing Letters, 23(9), 1197-1201.

 Zhang, X., Chen, L., Qiu, J., & Abdoli, J. (2016). On the waveform for 5G. IEEE Communications Magazine, 54(11), 74-80.