MC-NOMA增强型反向散射网络中的谱能效率均衡优化

doi:10.12305/j.issn.1001-506X.2022.02.36

Abstract

Abstract:

The nondeterministic nature of ambient signals results in unpredictable spectrum and energy opportunities. The shortage of transmission opportunities and energy supply brings a great challenge in designing the multiple access scheme in backscatter communication networks. A phased optimization algorithm is proposed to maximize the balanced spectrum and energy efficiency for the multicarrier non-orthogonal multiple access (MC-NOMA) enhanced backscatter networks. However, the formulated problem is non-convex, which is computationally difficult to solve. Hence, the optimization problem is further divided into two sub-problems, i.e. the subcarrier allocation and the reflection coefficient optimization. Based on the Gale-Shapley matching theory, a many-to-one matching algorithm is proposed to obtain the optimal subcarrier allocation. Then, the reflection coefficient optimization is solved with the convex optimization theory. The simulation results show that the spectrum and energy efficiency can be significantly improved by the proposed optimization scheme, compared to the dynamic MC-NOMA scheme (D-NOMA) and the orthogonal multiple access scheme (OMA).

Key words: spectrum efficiency, energy efficiency, multicarrier non-orthogonal multiple access (MC-NOMA), backscatter communication

CLC Number:

TN929.5

Lanhua LI, Xiaoxia HUANG. Spectrum and energy efficiency tradeoff in MC-NOMA enhanced backscatter networks[J]. Systems Engineering and Electronics, 2022, 44(2): 651-661.

Figures/Tables 9

Fig.1

Fig.2

Fig.3

Table 1

Fig.4

Fig.5

Fig.6

Fig.7

Fig.8

References 58

1	张平, 陶运铮, 张治. 5G若干关键技术评述[J]. 通信学报, 2016, 37 (7): 15- 29.
	ZHANG P , TAO Y Z , ZHANG Z . Survey of several key technologies for 5G[J]. Journal on Communication, 2016, 37 (7): 15- 29.
2	尤肖虎, 尹浩, 邬贺铨. 6G与广域物联网[J]. 物联网学报, 2020, 4 (1): 3- 11.
	YOU X H , YIN H , WU H G . On 6G and wide-area IoT[J]. Chinese Journal on Internet of Things, 2020, 4 (1): 3- 11.
3	杨震, 杨宁, 徐敏捷. 面向物联网应用的人工智能相关技术研究[J]. 电信技术, 2016, 5, 16- 19, 23. doi: 10.3969/j.issn.1000-1247.2016.05.003
	YANG Z , YANG N , XU M J . Research on artificial intelligence technology for Internet of Things[J]. Telecommunications Technology, 2016, 5, 16- 19, 23. doi: 10.3969/j.issn.1000-1247.2016.05.003
4	施巍松, 孙辉, 曹杰, 等. 边缘计算: 万物互联时代新型计算模型[J]. 计算机研究与发展, 2017, 54 (5): 907- 924.
	SHI W S , SUN H , CAO J , et al. Edge computing—an emerging computing model for the internet of everything era[J]. Journal of Computer Research and Development, 2017, 54 (5): 907- 924.
5	王公仆, 熊轲, 刘铭, 等. 反向散射通信技术与物联网[J]. 物联网学报, 2017, 1 (1): 67- 75.
	WANG G P , XIONG K , LIU M , et al. Backscatter communication technology and Internet of Things[J]. Chinese Journal on Internet of Things, 2017, 1 (1): 67- 75.
6	陶琴, 钟财军, 张朝阳. 面向无源物联网的环境反向散射通信技术[J]. 物联网学报, 2019, 3 (2): 28- 34.
	TAO Q , ZHONG C J , ZHANG C Y . Ambient backscatter communications technology for battery less IoT[J]. Chinese Journal on Internet of Things, 2019, 3 (2): 28- 34.
7	于季弘, 刘昊, 王帅. 无源物联网综述——从感知、通信与管理的视角[J]. 重庆邮电大学学报(自然科学版), 2020, 32 (5): 736- 751.
	YU J H , LIU H , WANG S . Survey on passive internet of things: from the perspective of sensing, communications and management[J]. Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition), 2020, 32 (5): 736- 751.
8	LIU V , PARKS A , TALLA V , et al. Ambient backscatter: wireless communication out of thin air[J]. ACM SIGCOMM Computer Communication Review, 2013, 43 (4): 39- 50. doi: 10.1145/2534169.2486015
9	PARKS A N , LIU A , GOLLAKOTA S , et al. Turbocharging ambient backscatter communication[J]. ACM SIGCOMM Computer Communication Review, 2014, 44 (4): 619- 630.
10	YANG C, GUMMESON J, SAMPLE A. Riding the airways: ultra-wideband ambient backscatter via commercial broadcast systems[C]//Proc. of the IEEE Conference on Computer Communications, 2017.
11	ZHANG P, JOSEPHSON C, BHARADIA D, et al. Freerider: backscatter communication using commodity radios[C]//Proc. of the 13th International Conference on Emerging Networking Experiments and Technologies, 2017: 389-401.
12	KELLOGG B, PARKS A, GOLLAKOTA S, et al. Wi-Fi backscatter: internet connectivity for RF-powered devices[C]// Proc. of the ACM Special Interest Group on Data Communi-cation, 2014: 607-618.
13	BHARADIA D , JOSHI K R , KOTARU M , et al. Backfi: high throughput WIFI backscatter[J]. ACM SIGCOMM Computer Communication Review, 2015, 45 (4): 283- 296. doi: 10.1145/2829988.2787490
14	KELLOGG B , TALLA V , SMITH J R , et al. PASSIVE WI-FI: bringing low power to WIFI transmissions[J]. GetMobile: Mobile Computing and Communications, 2017, 20 (3): 38- 41. doi: 10.1145/3036699.3036711
15	ENSWORTH J F, REYNOLDS M S. Every smart phone is a backscatter reader: modulated backscatter compatibility with bluetooth 4.0 low energy (BLE) devices[C]//Proc. of the IEEE International Conference on RFID, 2015: 78-85.
16	WANG A, IYER V, TALLA V, et al. FM backscatter: enabling connected cities and smart fabrics[C]//Proc. of the 14th USENIX Symposium on Networked Systems Design and Implementation, 2017: 243-258.
17	IYER V, TALLA V, KELLOGG B, et al. Inter-technology backscatter: towards internet connectivity for implanted devices[C]//Proc. of the ACM Special Interest Group on Data Communication, 2016: 356-369.
18	PENG Y, SHANGGUAN L, HU Y, et al. PLoRa: a passive long-range data network from ambient LoRa transmissions[C]// Proc. of the ACM Special Interest Group on Data Communi-cation, 2018: 147-160.
19	VARSHNEY A, HARMS O, PÉREZ-PENICHET C, et al. Lorea: a backscatter architecture that achieves a long communication range[C]//Proc. of the 15th ACM Conference on Embedded Network Sensor Systems, 2017.
20	TALLA V , HESSAR M , KELLOGG B , et al. Lora backscatter: enabling the vision of ubiquitous connectivity[J]. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2017, 1 (3): 1- 24.
21	GUO H , LONG R , LIANG Y C . Cognitive backscatter network: a spectrum sharing paradigm for passive IoT[J]. IEEE Wireless Communications Letters, 2019, 8 (5): 1423- 1426. doi: 10.1109/LWC.2019.2919835
22	XIAO S , GUO H , LIANG Y C . Resource allocation for full-duplex-enabled cognitive backscatter networks[J]. IEEE Trans.on Wireless Communications, 2019, 18 (6): 3222- 3235. doi: 10.1109/TWC.2019.2912203
23	HOANG D T , NIYATO D , WANG P , et al. Ambient backscatter: a new approach to improve network performance for RF-powered cognitive radio networks[J]. IEEE Trans.on Communications, 2017, 65 (9): 3659- 3674. doi: 10.1109/TCOMM.2017.2710338
24	LYU B , YOU C , YANG Z , et al. The optimal control policy for RF-powered backscatter communication networks[J]. IEEE Trans.on Vehicular Technology, 2017, 67 (3): 2804- 2808.
25	VAN HUYNH N , HOANG D T , NIYATO D , et al. Optimal time scheduling for wireless-powered backscatter communication networks[J]. IEEE Wireless Communications Letters, 2018, 7 (5): 820- 823. doi: 10.1109/LWC.2018.2827983
26	GONG S , HUANG X , XU J , et al. Backscatter relay communications powered by wireless energy beamforming[J]. IEEE Trans.on Communications, 2018, 66 (7): 3187- 3200. doi: 10.1109/TCOMM.2018.2809613
27	LU X , JIANG H , NIYATO D , et al. Wireless-powered device-to-device communications with ambient backscattering: performance modeling and analysis[J]. IEEE Trans.on Wireless Communications, 2017, 17 (3): 1528- 1544.
28	ZHAO R, ZHU F, FENG Y, et al. OFDMA-enabled Wi-Fi backscatter[C]//Proc. of the 25th Annual International Conference on Mobile Computing and Networking, 2019.
29	MI N, ZHANG X, HE X, et al. CBMA: coded-backscatter multiple access[C]//Proc. of the IEEE 39th International Conference on Distributed Computing Systems, 2019: 799-809.
30	JIANG C, HE Y, JIN M, et al. Canon: exploiting channel diversity for reliable parallel decoding in backscatter communication[C]//Proc. of the IEEE 26th International Conference on Network Protocols, 2018: 356-366.
31	JIN M , HE Y , MENG X , et al. Fliptracer: practical parallel decoding for backscatter communication[J]. IEEE/ACM Trans.on Networking, 2019, 27 (1): 330- 343. doi: 10.1109/TNET.2018.2890109
32	HU P , ZHANG P , GANESAN D . Laissez-faire: fully asymmetric backscatter communication[J]. ACM SIGCOMM Computer Communication Review, 2015, 45 (4): 255- 267. doi: 10.1145/2829988.2787477
33	HESSAR M, NAJAFI A, GOLLAKOTA S. Netscatter: enabling large-scale backscatter networks[C]//Proc. of the 16th USENIX Symposium on Networked Systems Design and Implementation, 2019: 271-284.
34	毕奇, 梁林, 杨姗, 等. 面向5G的非正交多址接入技术[J]. 电信科学, 2015, 31 (5): 20- 27.
	BI Q , LIANG L , YANG S , et al. Non-orthogonal multiple access technology for 5G systems[J]. Telecommunications Science, 2015, 31 (5): 20- 27.
35	董园园, 巩彩红, 李华, 等. 面向6G的非正交多址接入关键技术[J]. 移动通信, 2020, 44 (6): 57- 62, 69. doi: 10.3969/j.issn.1006-1010.2020.06.009
	DONG Y Y , GONG C H , LI H , et al. Key technologies of 6G oriented non orthogonal multiple access[J]. Mobile Communications, 2020, 44 (6): 57- 62, 69. doi: 10.3969/j.issn.1006-1010.2020.06.009
36	KIM T Y , KIM D I . Novelsparse-coded ambient backscatter communication for massive IoT connectivity[J]. Energies, 2018, 11 (7): 1780. doi: 10.3390/en11071780
37	GUO J , ZHOU X , DURRANI S , et al. Design of non-orthogonal multiple access enhanced backscatter communication[J]. IEEE Trans.on Wireless Communications, 2018, 17 (10): 6837- 6852. doi: 10.1109/TWC.2018.2864741
38	FARAJZADEH A, ERCETIN O, YANIKOMEROGLU H. UAV data collection over NOMA backscatter networks: UAV altitude and trajectory optimization[C]//Proc. of the IEEE International Conference on Communications, 2019.
39	ZEB S, ABBAS Q, HASSAN S A, et al. NOMA enhanced backscatter communication for green IoT networks[C]//Proc. of the 16th International Symposium on Wireless Communication Systems, 2019: 640-644.
40	YANG G , XU X , LIANG Y C . Resource allocation in NOMA-enhanced backscatter communication networks for wireless powered IoT[J]. IEEE Wireless Communications Letters, 2019, 9 (1): 117- 120.
41	YANG G , YUAN D , LIANG Y C , et al. Optimal resource allocation in full-duplex ambient backscatter communication networks for wireless-powered IoT[J]. IEEE Internet of Things Journal, 2018, 6 (2): 2612- 2625.
42	ARDAKANI F D, WONG V W S. Joint reflection coefficient selection and subcarrier allocation for backscatter systems with NOMA[C]//Proc. of the IEEE Wireless Communications and Networking Conference, 2020. DOI: 10.1109/WCNC45663.20209120844.
43	XU Y , QIN Z , GUI G , et al. Energy efficiency maximization in NOMA enabled backscatter communications with QoS Guarantee[J]. IEEE Wireless Communications Letters, 2020, 10 (2): 353- 357.
44	KHAN W U, SIDHU G A S, LI X W, et al. NOMA-enabled wireless powered backscatter communications for secure and green IoT networks[M]//Wireless-Powered Backscatter Communications for Internet of Things. Cham, Springer, 2021: 103-131.
45	王正强, 成蕖, 樊自甫, 等. 非正交多址系统资源分配研究综述[J]. 电信科学, 2018, 34 (8): 136- 146.
	WANG Z Q , CHENG Q , FAN Z F , et al. A survey of resource allocation in non-orthogonal multiple access systems[J]. Telecommunications Science, 2018, 34 (8): 136- 146.
46	LEI L , YUAN D , HO C K , et al. Power and channel allocation for non-orthogonal multiple access in 5G systems: tractability and computation[J]. IEEE Trans.on Wireless Communications, 2016, 15 (12): 8580- 8594. doi: 10.1109/TWC.2016.2616310
47	SUN Y , NG D W K , DING Z , et al. Optimal joint power and subcarrier allocation for full-duplex multicarrier non-orthogonal multiple access systems[J]. IEEE Trans.on Communications, 2017, 65 (3): 1077- 1091. doi: 10.1109/TCOMM.2017.2650992
48	ZHAI D , DU J . Spectrum efficient resource management for multi-carrier-based NOMA networks: a graph-based method[J]. IEEE Wireless Communications Letters, 2017, 7 (3): 388- 391.
49	ROSTAMI M, GUMMESON J, KIAGHADI A, et al. Polymorphic radios: a new design paradigm for ultra-low power communication[C]//Proc. of the Conference of the ACM Special Interest Group on Data Communication, 2018: 446-460.
50	LI L, HUANG X, FANG X, et al. Efficienthierarchical multiple access for ambient backscatter wireless networks[C]//Proc. of the IEEE Global Communications Conference, 2019.
51	GALE D , SHAPLEY L S . College admissions and the stability of marriage[J]. The American Mathematical Monthly, 1962, 69 (1): 9- 15. doi: 10.1080/00029890.1962.11989827
52	HACI H, ZHU H. Performance of non-orthogonal multiple access with a novel interference cancellation method[C]//Proc. of the IEEE International Conference on Communications, 2015: 2912-2917.
53	LIU J , LI Y , SONG G , et al. Detection andanalysis of symbol-asynchronous uplink NOMA with equal transmission power[J]. IEEE Wireless Communications Letters, 2019, 8 (4): 1069- 1072. doi: 10.1109/LWC.2019.2906184
54	YANG G , HO C K , GUAN Y L . Multi-antenna wireless energy transfer forbackscatter communication systems[J]. IEEE Journal on Selected Areas in Communications, 2015, 33 (12): 2974- 2987. doi: 10.1109/JSAC.2015.2481258
55	TANG J , SO D K C , ALSUSA E , et al. Resource efficiency: a new paradigm on energy efficiency and spectral efficiency tradeoff[J]. IEEE Trans.on Wireless Communications, 2014, 13 (8): 4656- 4669. doi: 10.1109/TWC.2014.2316791
56	NESTEROV Y , NEMIROVSKII A . Interior-point polynomial algorithms in convex programming[M]. Philadelphia: Society for Industrial and Applied Mathematics, 1994.
57	NIKITIN P V, RAO K V S. Antennas and propagation in UHF RFID systems[C]//Proc. of the IEEE International Conference on RFID, 2008: 277-288.
58	ALI M S , TABASSUM H , HOSSAIN E . Dynamic user clustering and power allocation for uplink and downlink non-orthogonal multiple access (NOMA) systems[J]. IEEE Access, 2016, 4, 6325- 6343.

参数	设定值
设备分布范围	100 m×100 m
BD数N	[10, 50]
子载波数M	{10, 20, 50}
子载波带宽B_c/kHz	100
AT电路能耗P_c/mW	40^[14]
BT能耗P_b/μW	0.25^[9]
路径损耗系数α	3^[57]
高斯噪声功率密度/(dBm/Hz)	-174

[1]	Lin SUN, Zhongyang MAO, Jiafang KANG, Lei ZHANG. Energy efficiency maximization-based spectrum allocation algorithm for maritime relay communication system [J]. Systems Engineering and Electronics, 2022, 44(8): 2661-2667.
[2]	Bozhi DONG, Jiang ZHU, Haibo ZHANG. SCMA-based energy efficiency resource allocation scheme in amplify-forward relay system [J]. Systems Engineering and Electronics, 2022, 44(6): 2035-2042.
[3]	Shanxue CHEN, Shengjin WU, Bowen GU. Energy efficiency optimization algorithm for uplink NOMA systems with time reversal [J]. Systems Engineering and Electronics, 2022, 44(3): 1007-1013.
[4]	Fatang CHEN, Zhihao ZHANG, Hebin LI, Zhiqiang MEI. Fairness resource allocation algorithm based on OFDMA scheduling access in 802.11ax system [J]. Systems Engineering and Electronics, 2021, 43(11): 3352-3359.
[5]	Ling ZHUANG, Lei DAI, Shengzhu LIU, Guangyu WANG. Optimized scheme for spectrum and energy efficiency of multiple-mode OFDM with index modulation [J]. Systems Engineering and Electronics, 2020, 42(3): 719-726.
[6]	Hui WANG, Jing ZHANG, Wanli CHENG. Energy-efficient multiuser-multichannel matching algorithm in NOMA systems [J]. Systems Engineering and Electronics, 2020, 42(11): 2636-2643.
[7]	QIU Bin, XIAO Hailin. Optimal power control for LTE vehicle-to-vehicle communication withimperfect channel state information#br# [J]. Systems Engineering and Electronics, 2018, 40(7): 1608-1614.
[8]	ZHANG Chuang, ZHANG Jia-yan, ZHAO Hong-lin. Cooperation algorithm based on game theory and particle swarm optimization for Ad-hoc networks [J]. Systems Engineering and Electronics, 2015, 37(3): 664-670.
[9]	JIANG Xue-peng, HONG Bei, WANG Hong-wei. High energy efficient forwarding strategy based on links efficiency [J]. Journal of Systems Engineering and Electronics, 2012, 34(7): 1469-1473.
[10]	ZHAO Hai-tao, XI Yong, WEI Ji-bo, WANG Li-jie. Clustering-based cooperative transmission scheme in wireless sensor networks [J]. Journal of Systems Engineering and Electronics, 2009, 31(4): 737-740.

Spectrum and energy efficiency tradeoff in MC-NOMA enhanced backscatter networks

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 9

References 58

Related Articles 10

Recommended Articles

Metrics

Comments