User Offloading using Hybrid NOMA in Next-generation Heterogeneous Network

Deepa palani, Merline A


Millimeter wave (mmWave)  enabled Heterogeneous network (Hetnet) has become ubiquitous because of the great demand of mobile network applications.  Non–Orthogonal multiple access (NOMA) bids a desired possible assistance, for example condensed inactivity with great consistency, enhanced spectrum efficiency and considerable affinity. NOMA is envisioned to be used with small cells enabled with mmWave environment. This work proposes an ubiquitous connectivity between users at the cell edge and offloading macro cell so as to provide features the macro cell itself cannot cope with, such as extreme changes in the required user data rate and energy efficiency. The amount of inter-cell and performance is analyzed in the boundary and in the midpoint of the cell. It shows a reduction in outage possibility of 90% for cell center user (CCU) and 48% for cell edge user (CEU). Thereby alleviating dead zones and energy efficient support is shown for transmission using carrier sensing NOMA.

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NTT DOCOMO, “5G Concept and Technologies”, uploads/2020/12/Globecom-2020-WS-on-5G-New-Air-Interface-NTT-DOCOMO.pdf, December 2020.

B. Clerckx, Y. Mao, et al, (2021) “Is NOMA efficient in multi-antenna networks? A critical look at next generation multiple access techniques,” IEEE Open Journal of the Communications Society, vol. 2, pp. 1310–1343, 2021.

L. Sala¨un, M. Coupechoux, and C. S. Chen, (2020) “Joint subcarrier and power allocation in NOMA: Optimal and approximate algorithms,” IEEE Transactions on Signal Processing, vol. 68, pp. 2215–2230, 2020.

Sepehr Rezvani, Eduard A. Jorswieck, et al,(2021) Optimal SIC Ordering and Power Allocation in Downlink Multi-Cell NOMA Systems” IEEE Access, rXiv:2102.05015 [cs.IT]

O. Maraqa, A. S. Rajasekaran, S. Al-Ahmadi, H. Yanikomeroglu, and S. M. Sait, (2020) “A survey of rate-optimal power domain NOMA with enabling technologies of future wireless networks,” IEEE Communications Surveys & Tutorials, vol. 22, no. 4, pp. 2192–2235, 2020.

Tabassum, Hina & Hossain, Ekram & Hossain, Md. (2016). Modeling and Analysis of Uplink Non-Orthogonal Multiple Access (NOMA) in Large-Scale Cellular Networks Using Poisson Cluster Processes. IEEE Transactions on Communications. PP. 10.1109/TCOMM.2017.2699180.

Zeng, Ming & Yadav, Animesh & Dobre, Octavia & Tsiropoulos, Georgios & Poor, H. Vincent. (2017). On the Sum Rate of MIMO-NOMA and MIMO-OMA Systems. IEEE Wireless Communications Letters. PP. 1-1. 10.1109/LWC.2017.2712149.

S. Zhang et al., "A Dynamic Power Allocation Scheme in Power-Domain NOMA using Actor-Critic Reinforcement Learning," 2018 IEEE/CIC International Conference on Communications in China (ICCC), 2018, pp. 719-723, doi: 10.1109/ICCChina.2018.8641248.

N. C. Luong, D. T. Hoang, S. Gong, D. Niyato, P. Wang, Y. Liang, and D. I. Kim, “Applications of deep reinforcement learning in communications and networking: A survey,” IEEE Communications Surveys & Tutorials, vol. 21, no. 4, pp. 3133–3174, 4th Quarter 2019.

Y. Sun, J. Zhou, Q. Cao, and S. Li, “Precoder design in statistical CSI aided non-orthogonal multiple access,” IEEE Access, vol. 6, pp. 16 484–16 492, Feb. 2018.

Y. Liu, Z. Ding, M. Elkashlan, and J. Yuan, “Non-orthogonal multiple access in large-scale underlay cognitive radio networks,” IEEE Trans. Veh. Technol., vol. 65, no. 12, pp. 10 152–10 157, 2016

V.-D. Nguyen, H. D. Tuan, T. Q. Duong, O.-S. Shin, and H. V. Poor, “Joint fractional time allocation and beamforming for downlink multiuser MISO systems,” IEEE Commun. Lett., vol. 21, no. 12, pp. 2650–2653, 2017.

Q. Zhang, Q. Li, and J. Qin, “Robust beamforming for nonorthogonal multiple-access systems in MISO channels,” IEEE Transactions on Vehicular Technology, vol. 65, no. 12, pp. 10 231–10 236, Dec.



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