Energy Efficient Power Allocation with NOMA in Downlink Heterogeneous Networks

Shuang ZHANG; Guixia KANG

doi:10.11999/JEIT190492

Volume 42 Issue 11

Nov. 2020

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Shuang ZHANG, Guixia KANG. Energy Efficient Power Allocation with NOMA in Downlink Heterogeneous Networks[J]. Journal of Electronics & Information Technology, 2020, 42(11): 2656-2663. doi: 10.11999/JEIT190492

Citation:

Shuang ZHANG, Guixia KANG. Energy Efficient Power Allocation with NOMA in Downlink Heterogeneous Networks[J]. Journal of Electronics & Information Technology, 2020, 42(11): 2656-2663. doi: 10.11999/JEIT190492

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Energy Efficient Power Allocation with NOMA in Downlink Heterogeneous Networks

doi: 10.11999/JEIT190492

Shuang ZHANG,
Guixia KANG^,

1.
College of Career Technology, Hebei Normal University, Shijiazhuang 050024, China
2.
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
3.
Wuxi BUPT Sensory Technology and Industry Institute, Wuxi 214000, China

Funds: The National Science and Technology Major Project of China (2017ZX03001022)

Received Date: 2019-07-02
Rev Recd Date: 2020-04-13

Available Online: 2020-08-31

Publish Date: 2020-11-16

Abstract

Abstract

This paper proposes a power allocation scheme for energy efficiency maximization in a downlink Non-Orthogonal Multiple Access (NOMA)-based Heterogeneous Network (HetNets) with considering the out-of-cell interference and in-cell interference. The scheme contains mainly two parts. One is the power allocation between the users at the same sub-channel, where Difference of Convex (DC) functions -programming is exploited to solve the problem. Another is the power allocation between the sub-channels, in which ConCave–Convex Procedure (CCCP) method and Lagrangian multiplier method are combined to solve the problem. The simulation results show that the fast convergence property, and demonstrate that the EE obtained by the proposed algorithms based on NOMA is at least 44% higher than that obtained by the conventional orthogonal multiple access scheme.
- Non-Orthogonal Multiple Access (NOMA),
- Heterogeneous Networks (HetNets),
- Energy efficiency,
- Power allocation

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References(16)

References

DAMNJANOVIC A, MONTOJO J, WEI Yongbin, et al. A survey on 3GPP heterogeneous networks[J]. IEEE Wireless Communications, 2011, 18(3): 10–21. doi: 10.1109/MWC.2011.5876496

DAI Linglong, WANG Bichai, DING Zhiguo, et al. A survey of non-orthogonal multiple access for 5G[J]. IEEE Communications Surveys & Tutorials, 2018, 20(3): 2294–2323. doi: 10.1109/COMST.2018.2835558

FANG Fang, CHENG Julian, and DING Zhiguo. Joint energy efficient subchannel and power optimization for a downlink NOMA heterogeneous network[J]. IEEE Transactions on Vehicular Technology, 2019, 68(2): 1351–1364. doi: 10.1109/TVT.2018.2881314

MOKDAD A, AZMI P, and MOKARI N. Radio resource allocation for heterogeneous traffic in GFDM-NOMA heterogeneous cellular networks[J]. IET Communications, 2016, 10(12): 1444–1455. doi: 10.1049/iet-com.2016.0011

SONG Zhengyu, NI Qiang, and SUN Xin. Distributed power allocation for nonorthogonal multiple access heterogeneous networks[J]. IEEE Communications Letter, 2018, 22(3): 622–625. doi: 10.1109/LCOMM.2017.2789282

NASSER A, MUTA O, ELSABROUTY M, et al. Compressive sensing based spectrum allocation and power control for NOMA HetNets[J]. IEEE Access, 2019, 7: 98495–98506. doi: 10.1109/ACCESS.2019.2929185

NI Dadong, HAO Li, TRAN Q T, et al. Power allocation for downlink NOMA heterogeneous networks[J]. IEEE Access, 2018, 6: 26742–26752. doi: 10.1109/ACCESS.2018.2835568

STEFANO B, CHIH L I, THIERR Y E, et al. A survey of energy-efficient techniques for 5G networks and challenges ahead[J]. IEEE Journal on Selected Areas in Communications, 2016, 34(4): 697–709. doi: 10.1109/JSAC.2016.2550338

QIN Zhijin, YUE Xinwei, LIU Yuanwei, et al. User association and resource allocation in unified NOMA enabled heterogeneous Ultra dense networks[J]. IEEE Communications Magazine, 2018, 56(6): 86–92. doi: 10.1109/MCOM.2018.1700497

AN L T H and TAO P D. The DC (difference of convex functions) programming and DCA revisited with DC models of real world nonconvex optimization problems[J]. Annals of Operations Research, 2005, 133(1): 23–46. doi: 10.1007/s10479-004-5022-1

SRIPERUMBUDUR B K and LANCKRIET G R G. On the convergence of the concave-convex procedure[C]. The 22nd International Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, 2009: 1759–1767.

FANG Fang, ZHANG Haijun, CHENG Julian, et al. Energy efficiency of resource scheduling for non-orthogonal multiple access (NOMA) wireless network[C]. 2016 IEEE International Conference on Communications, Kuala Lumpur, Malaysia, 2016: 1–5. doi: 10.1109/ICC.2016.7511239.

CHEN Qimei, YU Guanding, YIN Rui, et al. Energy-efficient user association and resource allocation for multistream carrier aggregation[J]. IEEE Transactions on Vehicular Technology, 2016, 65(8): 6366–6376. doi: 10.1109/TVT.2015.2472558

BAZARAA M S, SHERALI H D, and SHETTY C M. Nonlinear Programming: Theory and Algorithms[M]. 3rd ed. New York: Wiley, 2013.

YE Qiaoyang, RONG Beiyu, CHEN Yudong, et al. User association for load balancing in heterogeneous cellular networks[J]. IEEE Transactions on Wireless Communications, 2013, 12(6): 2706–2716. doi: 10.1109/TWC.2013.040413.120676

KHA H H, TUAN H D, and NGUYEN H H. Fast global optimal power allocation in wireless networks by local D.C. programming[J]. IEEE Transactions on Wireless Communications, 2012, 11(2): 510–515. doi: 10.1109/TWC.2011.120911.110139

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