大规模MIMO系统的智能天线选择与功率分配方法研究

doi:10.3969/j.issn.1001-506X.2020.12.01

Abstract

Abstract:

In order to meet the data transmission requirements of massive multiple input multiple output (MIMO) systems and reduce the energy consumption of system, an intelligent antenna selection and power allocation method based on quantum chemical reaction optimization is proposed. According to the users' transmission requirements in different periods of massive MIMO systems, the intelligent antenna selection and power allocation model is established, then the maximum energy efficiency equation is derived. To effectively tackle the nonlinear, multi-constrained hybrid optimization problem, a quantum chemical reaction optimization algorithm is designed to obtain the optimal antenna selection and power allocation scheme by combining the advantages of quantum computation and chemical reaction optimization mechanism. Simulation results show that the proposed intelligent antenna selection and power distribution method can meet the transmission requirements of users in real time and significantly improve the system energy efficiency. Compared with existing intelligent algorithms and allocation strategies, the proposed method can achieve the highest system energy efficiency in different simu-lation scenarios.

Key words: massive multiple input multiple output (MIMO), antenna selection, power allocation, quantum chemical reaction optimization

CLC Number:

TN929.52

Hongyuan GAO, Yumeng SU, Shibo ZHANG. Intelligent antenna selection and power allocation method for massive MIMO systems[J]. Systems Engineering and Electronics, 2020, 42(12): 2669-2675.

Figures/Tables 7

Fig.1

Table 1

Fig.2

Fig.3

Fig.4

Fig.5

Fig.6

References 26

1	CHOWDHURY M Z , HASAN M K , SHAHJALAL M , et al. Optical wireless hybrid networks: trends, opportunities, challenges, and research directions[J]. IEEE Communications Surveys & Tutorials, 2020, 22 (2): 930- 966.
2	CHETTRI L , BERA R . A comprehensive survey on internet of things (IoT) toward 5G wireless systems[J]. IEEE Internet of Things Journal, 2020, 7 (1): 16- 32. doi: 10.1109/JIOT.2019.2948888
3	GHOSH A , MAEDER A , BAKER M , et al. 5G evolution: a view on 5G cellular technology beyond 3GPP release 15[J]. IEEE Access, 2019, 7, 127639- 127651. doi: 10.1109/ACCESS.2019.2939938
4	ORTIZ J N , DIAZ P R , SENDRA S , et al. A survey on 5G usage scenarios and traffic models[J]. IEEE Communications Surveys & Tutorials, 2020, 22 (2): 905- 929.
5	JI L Y , GUO S T . Energy-efficient cooperative resource allocation in wireless powered mobile edge computing[J]. IEEE Internet of Things Journal, 2019, 6 (3): 4744- 4754. doi: 10.1109/JIOT.2018.2880812
6	DONG Z L , WEI J H , CHEN X Y , et al. Energy efficiency optimization and resource allocation of cross-layer broadband wireless communication system[J]. IEEE Access, 2020, 8, 50740- 50754. doi: 10.1109/ACCESS.2020.2978034
7	SOLEIMANPOUR M M , ASKARIZADEH M , TALEBI S , et al. Low complexity green cooperative cognitive radio network with superior performance[J]. IEEE Systems Journal, 2019, 13 (1): 345- 356. doi: 10.1109/JSYST.2018.2825281
8	ALBREEM M A , JUNTTI M , SHAHABUDDIN S . Massive MIMO detection techniques: a survey[J]. IEEE Communications Surveys & Tutorials, 2019, 21 (4): 3109- 3132.
9	WANG D M , WANG M H , ZHU P C , et al. Performance of network-assisted full-duplex for cell-free massive MIMO[J]. IEEE Trans.on Communications, 2020, 68 (3): 1464- 1478. doi: 10.1109/TCOMM.2019.2962158
10	NGUYEN N P , NGO H Q , DUONG T Q , et al. Secure massive MIMO with the artificial noise-aided downlink training[J]. IEEE Journal on Selected Areas in Communications, 2018, 36 (4): 802- 816. doi: 10.1109/JSAC.2018.2825140
11	RAWAT D B , WHITE T , PARWEZ M S , et al. Evaluating secrecy outage of physical layer security in large-scale MIMO wireless communications for cyber-physical systems[J]. IEEE Internet of Things Journal, 2017, 4 (6): 1987- 1993. doi: 10.1109/JIOT.2017.2691352
12	AL-WAHHAMY A , AL-RIZZO H , BURIS N E . Efficient evaluation of massive MIMO channel capacity[J]. IEEE Systems Journal, 2020, 14 (1): 614- 620. doi: 10.1109/JSYST.2019.2900006
13	HUANG Y M , HE S W , WANG J H , et al. Spectral and energy efficiency tradeoff for massive MIMO[J]. IEEE Trans.on Vehicular Technology, 2018, 67 (8): 6991- 7002. doi: 10.1109/TVT.2018.2824311
14	UMER A , HASSAN S A , PERVAIZ H , et al. Secrecy spectrum and energy efficiency analysis in massive MIMO-enabled multi-tier hybrid HetNets[J]. IEEE Trans.on Green Communications and Networking, 2020, 4 (1): 246- 262. doi: 10.1109/TGCN.2019.2956433
15	ASAAD S , RABIEI A M , MULLER R R . Massive MIMO with antenna selection: fundamental limits and applications[J]. IEEE Trans.on Wireless Communications, 2018, 17 (12): 8502- 8516. doi: 10.1109/TWC.2018.2877992
16	SILJAK H , PSARA K , PHILIPPOU A . Distributed antenna selection for massive MIMO using reversing Petri nets[J]. IEEE Wireless Communications Letters, 2019, 8 (5): 1427- 1430. doi: 10.1109/LWC.2019.2920128
17	BENMIMOUNE M , DRIOUCH E , AJIB W , et al. Novel transmit antenna selection strategy for massive MIMO downlink channel[J]. Wireless Networks, 2017, 23 (8): 2473- 2484. doi: 10.1007/s11276-016-1297-9
18	ABDULLAH Z , TSIMENIDIS C C , CHEN G , et al. Efficient low-complexity antenna selection algorithms in multi-user massive MIMO systems with matched filter precoding[J]. IEEE Trans.on Vehicular Technology, 2020, 69 (3): 2993- 3007. doi: 10.1109/TVT.2020.2966565
19	IBRAHIM M S , KONAR A , SIDIROPOULOS N D . Fast algorithms for joint multicast beamforming and antenna selection in massive MIMO[J]. IEEE Trans.on Signal Processing, 2020, 68, 1897- 1909. doi: 10.1109/TSP.2020.2979545
20	GHAZANFARI A , BJÖRNSON E , LARSSON E G . Optimized power control for massive MIMO with underlaid D2D communications[J]. IEEE Trans.on Communications, 2019, 67 (4): 2763- 2778. doi: 10.1109/TCOMM.2018.2890240
21	LI H , WANG Z G , WANG H J . Power allocation for an energy-efficient massive MIMO system with imperfect CSI[J]. IEEE Trans.on Green Communications and Networking, 2020, 4 (1): 46- 56.
22	ZAPPONE A , SANGUINETTI L , BACCI G , et al. Energy-efficient power control: a look at 5G wireless technologies[J]. IEEE Trans.on Signal Processing, 2016, 64 (7): 1668- 1683. doi: 10.1109/TSP.2015.2500200
23	HOANG T M , DUONG T Q , TUAN H D , et al. Secure massive MIMO relaying systems in a Poisson field of eavesdroppers[J]. IEEE Trans.on Communications, 2017, 65 (11): 4857- 4870. doi: 10.1109/TCOMM.2017.2723565
24	高洪元, 杜亚男, 张世铂, 等. 能量采集认知无线电的量子蝙蝠最优合作策略[J]. 通信学报, 2018, 39 (9): 10- 19.
	GAO H Y , DU Y N , ZHANG S B , et al. Optimal cooperative strategy based on quantum bat for cognitive radio of energy harvest-ing[J]. Journal on Communications, 2018, 39 (9): 10- 19.
25	FU Y P , ZHOU M C , GUO X W , et al. Artificial-molecule-based chemical reaction optimization for flow shop scheduling problem with deteriorating and learning effects[J]. IEEE Access, 2019, 7, 53429- 53440. doi: 10.1109/ACCESS.2019.2911028
26	GAO H Y , ZHANG S B , SU Y M , et al. Joint resource allocation and power control algorithm for cooperative D2D heterogeneous networks[J]. IEEE Access, 2019, 7, 20632- 20643. doi: 10.1109/ACCESS.2019.2895975

参数	数值
M	128
K	5
r₀/m	100
v₀	3.8
η/%	50
p_a/dBm	0
p_{c, k}/dBm	10
p_max/dBm	30
B/MHz	1
${\bar R}$_min/(Mbit/s)	1
N₀/(dBm/Hz)	-174

[1]	Yongzhi YU, Chunhong ZHANG, Hai HAO. Downlink energy efficiency optimization for massive MIMO systems with imperfect CSI [J]. Systems Engineering and Electronics, 2022, 44(5): 1694-1700.
[2]	Suhui DONG, Ji PAN, Xiujuan YAO, Xiang GAO, Yi YAN, Jia ZHI. Research on NGSO-GSO frequency interference calculation method fused with power allocation strategy [J]. Systems Engineering and Electronics, 2022, 44(4): 1382-1392.
[3]	Kaixuan CHU, Tianqing CHANG, Depeng KONG, Lei ZHANG, Haoze SUN. Bee colony algorithm based model of tank troop deployment and firepower allocation [J]. Systems Engineering and Electronics, 2022, 44(2): 546-556.
[4]	Yaohua XU, Chenglong ZHU, Yi WANG, Fang JANG, Mengqin DING, Huiping WANG. Neural network-based algorithm for high-parallelism massive MIMO signal detection [J]. Systems Engineering and Electronics, 2022, 44(12): 3843-3849.
[5]	Ziyan LIU, Shanshan MA, Jing LIANG, Mingcheng ZHU, Lei YUAN. Attention mechanism based CNN channel estimation algorithm in millimeter-wave massive MIMO system [J]. Systems Engineering and Electronics, 2022, 44(1): 307-312.
[6]	Guiyong LI, Min YU, Yongkun YU. Distributed compressed sensing LMMSE channel estimation in massive MIMO systems [J]. Systems Engineering and Electronics, 2021, 43(3): 823-831.
[7]	Di ZHAO, Aihuang GUO, Chunlin SONG. Power control algorithm for cell-free massive MIMO system [J]. Systems Engineering and Electronics, 2021, 43(3): 854-860.
[8]	Jingran LIN, Ying CHEN, Jintai YANG, Wei ZHANG, Jian YANG, Zhihao JIANG. Power allocation algorithm for OFDM wireless relay system [J]. Systems Engineering and Electronics, 2021, 43(2): 537-545.
[9]	ZHAO Longhai, SHA Xuejun. Algorithms of relay beamforming and user power allocation for SC-FDMA systems [J]. Systems Engineering and Electronics, 2019, 41(7): 1633-1638.
[10]	BAO Hui, SHI Mengqian, ZHAO Wei. Power allocation method for short packet transmission in MIMO-NOMA system [J]. Systems Engineering and Electronics, 2019, 41(11): 2641-2646.
[11]	LIU Xiaoxiang, ZHANG Jing. Barzilai-Borwein based signal detection algorithm for massive MIMO [J]. Systems Engineering and Electronics, 2018, 40(8): 1861-1865.
[12]	LI Xiaoyu, MA Wenping, LUO Lianfei, ZHAO Feifei. Power allocation for NOMA system in downlink [J]. Systems Engineering and Electronics, 2018, 40(7): 1595-1599.
[13]	ZHU Jiang, YANG Tian, WANG Yan. Interference elimination time reversal technique based on millimeter wave massive MIMO [J]. Systems Engineering and Electronics, 2018, 40(4): 911-918.
[14]	YUAN Jianguo, ZHANG Fang, WANG Jingxin, WANG Yong, LIN Jinzhao, PANG Yu. OFDMA adaptive resource allocation based on fairness and penalty function [J]. Systems Engineering and Electronics, 2018, 40(2): 427-434.
[15]	TANG Qi, JIANG Junmin. Adaptive power allocation algorithm based on digital and analog hybrid system for satellite multi-beams mobile communication [J]. Systems Engineering and Electronics, 2018, 40(11): 2566-.

Intelligent antenna selection and power allocation method for massive MIMO systems

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 7

References 26

Related Articles 15

Recommended Articles

Metrics

Comments