Anti-Interference Distributed Energy-Efficient Power Allocation for Multi-Carrier Ultra-Dense Networks

Yun HE; Min SHEN; Meng ZHANG

doi:10.11999/JEIT200388

Volume 43 Issue 7

Jul. 2021

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2021 > 43(7): 1886-1892

Yun HE, Min SHEN, Meng ZHANG. Anti-Interference Distributed Energy-Efficient Power Allocation for Multi-Carrier Ultra-Dense Networks[J]. Journal of Electronics & Information Technology, 2021, 43(7): 1886-1892. doi: 10.11999/JEIT200388

Citation:

Yun HE, Min SHEN, Meng ZHANG. Anti-Interference Distributed Energy-Efficient Power Allocation for Multi-Carrier Ultra-Dense Networks[J]. Journal of Electronics & Information Technology, 2021, 43(7): 1886-1892. doi: 10.11999/JEIT200388

Citation:

PDF( 2277 KB)

Anti-Interference Distributed Energy-Efficient Power Allocation for Multi-Carrier Ultra-Dense Networks

doi: 10.11999/JEIT200388

1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Innovation Team of Communication Core Chip, Protocols and System Application, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Funds: The Science and Technology Research Program of Chongqing Education Commission (KJQN201800618)

Received Date: 2020-05-15
Rev Recd Date: 2020-12-09

Available Online: 2020-12-21

Publish Date: 2021-07-10

Abstract

Abstract

The energy-efficient power allocation is studied in the uplink of the multi-carrier Ultra-Dense Networks (UDN). Based on the non-cooperative game theory, a distributed anti-interference power allocation scheme is proposed so that each cell can independently optimize energy efficiency while suppressing the inter-cell interference. Due to the fact that the energy efficiency problem under the constrains of the Quality of Service(QoS)and the maximum transmitter power is a challenging nonconvex problem and small cells suffer from the severe inter-cell interference, an accurate and low-complexity stair water-filling algorithm is proposed to solve the nonconvex problem in the best response process. Based on this algorithm, a multi-user anti-interference power allocation algorithm is proposed using interference channel gains. Simulation results and numerical analysis show that this algorithm can improve the system energy efficiency with no reduction in spectrum efficiency performance.
- Ultra-Dense Networks(UDN),
- Power allocation,
- Anti-interference,
- Stair water-filling algorithm

FullText(HTML)

References(19)

References

[1]	The Climate Group. Smart 2020: Enabling the low carbon economy in the information age[R]. The Climate Group London, 2008.
[2]	BACCI G, BELMEGA E V, MERTIKOPOULOS P, et al. Energy-aware competitive power allocation for heterogeneous networks under QoS constraints[J]. IEEE Transactions on Wireless Communications, 2015, 14(9): 4728–4742. doi: 10.1109/TWC.2015.2425397
[3]	LAHOUD S, KHAWAM K, MARTIN S, et al. Energy-efficient joint scheduling and power control in multi-cell wireless networks[J]. IEEE Journal on Selected Areas in Communications, 2016, 34(12): 3409–3426. doi: 10.1109/JSAC.2016.2611847
[4]	CHARAR M A, GUENNOUN Z, and ANIBA G. Assessment of a closed-form iterative water filling energy efficient power control algorithm in multi-carrier context[C]. 2017 International Conference on Wireless Networks And Mobile Communications (Wincom), Rabat, Morocco, 2017: 304–309. doi: 10.1109/WINCOM.2017.8238195.
[5]	HE P, ZHANG Shan, ZHAO Lian, et al. Multichannel power allocation for maximizing energy efficiency in wireless networks[J]. IEEE Transactions on Vehicular Technology, 2018, 67(7): 5895–5908. doi: 10.1109/tvt.2018.2803126
[6]	HE P and DONG Min. Energy-efficient power allocation maximization with mixed group sum power bound and QoS constraints[J]. IEEE Transactions on Communications, 2019, 67(10): 7139–7151. doi: 10.1109/TCOMM.2019.2926454
[7]	DONG Guannan, ZHANG Haixia, JIN Shi, et al. Energy-efficiency-oriented joint user association and power allocation in distributed massive MIMO systems[J]. IEEE Transactions on Vehicular Technology, 2019, 68(6): 5794–5808. doi: 10.1109/TVT.2019.2912388
[8]	D'ORO S, ZAPPONE A, PALAZZO S, et al. A learning-based approach to energy efficiency maximization in wireless networks[C]. 2018 IEEE Wireless Communications and Networking Conference (WCNC), Barcelona, Spain, 2018: 1–6. doi: 10.1109/WCNC.2018.8377081.
[9]	LI Yuzhou, ZHANG Yu, LUO Kai, et al. Ultra-dense hetnets meet big data: Green frameworks, techniques, and approaches[J]. IEEE Communications Magazine, 2018, 56(6): 56–63. doi: 10.1109/MCOM.2018.1700425
[10]	朱晓荣, 朱蔚然. 超密集小峰窝网中基于干扰协调的小区分簇和功率分配算法[J]. 电子与信息学报, 2016, 38(5): 1173–1178. doi: 10.11999/JEIT150756 ZHU Xiaorong and ZHU Weiran. Interference coordination-based cell clustering and power allocation algorithm in dense small cell networks[J]. Journal of Electronics &Information Technology, 2016, 38(5): 1173–1178. doi: 10.11999/JEIT150756
[11]	PENG Juan, ZENG Jie, SU Xin, et al. A QoS-based cross-tier cooperation resource allocation scheme over ultra-dense HetNets[J]. IEEE Access, 2019, 7: 27086–27096. doi: 10.1109/ACCESS.2019.2901506
[12]	XIN Jincan, GAO Hui, TAN Yuande, et al. Energy-efficient power control for ultra-dense networks with distributed antenna arrays[C]. 2019 IEEE International Conference on Communications Workshops (ICC Workshops), Shanghai, China, 2019: 1–6. doi: 10.1109/ICCW.2019.8757032.
[13]	钱志鸿, 蒙武杰, 王雪, 等. 全负载蜂窝网络下多复用D2D通信功率分配算法研究[J]. 电子与信息学报, 2020, 42(12): 2939–2945. doi: 10.11999/JEIT190974 QIAN Zhihong, MENG Wujie, WANG Xue, et al. Research on power allocation algorithm of multi-to-one multiplexing D2D communication underlaying full load cellular networks[J]. Journal of Electronics &Information Technology, 2020, 42(12): 2939–2945. doi: 10.11999/JEIT190974
[14]	MIAO Guowang, HIMAYAT N, LI G Y, et al. Distributed interference-aware energy-efficient power optimization[J]. IEEE Transactions on Wireless Communications, 2011, 10(4): 1323–1333. doi: 10.1109/twc.2011.021611.101376
[15]	KWON G and PARK H. Joint user association and beamforming design for millimeter wave UDN with wireless backhaul[J]. IEEE Journal on Selected Areas in Communications, 2019, 37(12): 2653–2668. doi: 10.1109/JSAC.2019.2947926
[16]	KHODMI A, BENREJEB S, and CHOUKAIR Z. Iterative water filling power allocation and relay selection based on two-hop relay in 5G/heterogeneous ultra dense network[C]. The 7th International Conference on Communications and Networking (ComNet), Hammamet, Tunisia, 2018: 1–6. doi: 10.1109/COMNET.2018.8622298.
[17]	ZENG Ming, NGUYEN N P, DOBRE O A, et al. Spectral-and energy-efficient resource allocation for multi-carrier uplink NOMA systems[J]. IEEE Transactions on Vehicular Technology, 2019, 68(9): 9293–9296. doi: 10.1109/TVT.2019.2926701
[18]	JIANG Yanxiang, LU Ningning, CHEN Yan, et al. Energy-efficient noncooperative power control in small-cell networks[J]. IEEE Transactions on Vehicular Technology, 2017, 66(8): 7540–7547. doi: 10.1109/TVT.2017.2673245
[19]	FACCHINEI F and KANZOW C. Generalized Nash equilibrium problems[J]. Annals of Operations Research, 2010, 175(1): 177–211. doi: 10.1007/s10479-009-0653-x