Feature Detection Based Spectrum Sensing in NOMA System

被引:0
作者
Wu, Jingyi [1 ]
Xu, Tianheng [1 ,2 ]
Zhou, Ting [1 ]
Wang, Kaijie [1 ]
机构
[1] Chinese Acad Sci, Shanghai Adv Res Inst, Shanghai 201210, Peoples R China
[2] Shanghai Frontier Innovat Res Inst, Shanghai, Peoples R China
来源
MOBILE NETWORKS AND MANAGEMENT, MONAMI 2021 | 2022年 / 418卷
基金
中国国家自然科学基金;
关键词
NOMA; Spectrum sensing; Feature detection; Cyclic delay diversity; NONORTHOGONAL MULTIPLE-ACCESS; CYCLIC DELAY DIVERSITY; COGNITIVE RADIO; UPLINK NOMA; CHALLENGES; MODULATION; VISION;
D O I
10.1007/978-3-030-94763-7_16
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Non-orthogonal multiple access (NOMA) technology allows multiple users to share the same spectrum resource. Meanwhile, the technology of spectrum sensing enables us to find the free time of the spectrum. Both two technologies can significantly improve spectrum efficiency. In this paper, we attempt to combine the two techniques, for meeting the higher demand of spectrum resources requirements in future communication. We propose a transceiver architecture by the combination of two techniques. And we verify the feasibility of this scheme. The experiments and obtained data reveal that the proposed method is feasible. And it manifests to have a good detection performance.
引用
收藏
页码:201 / 217
页数:17
相关论文
共 50 条
[31]   Kernel Feature Template Matching for Spectrum Sensing [J].
Hou, Shujie ;
Qiu, Robert Caiming .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2014, 63 (05) :2258-2271
[32]   Spectrum Sensing Based on Novel Blind Pilot Detection Algorithm [J].
Wu, Hsiao-Chun ;
Yu, Bai ;
Yan, Kun ;
Zhang, Xiangli ;
Wu, Yiyan .
2018 13TH IEEE INTERNATIONAL SYMPOSIUM ON BROADBAND MULTIMEDIA SYSTEMS AND BROADCASTING (BMSB), 2018,
[33]   Performance of Spectrum Sensing Based on Energy Detection for Cognitive Radios [J].
Apaza Medina, Euler Edson ;
Barbin, Silvio Ernesto .
2018 IEEE-APS TOPICAL CONFERENCE ON ANTENNAS AND PROPAGATION IN WIRELESS COMMUNICATIONS (APWC), 2018, :948-951
[34]   Selection Based Detection Method for Spectrum Sensing for Cognitive Radio [J].
Mishra, Abhishek ;
Garg, Ankesh ;
Banerjee, Adrish .
2010 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS (SPCOM), 2010,
[35]   Energy Detection Based Spectrum Sensing in the Presence of Coloured Noise [J].
Avila, J. ;
Thenmozhi, K. ;
PremSavarinathan ;
Padmapriya, V. M. .
2019 INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATION AND INFORMATICS (ICCCI - 2019), 2019,
[36]   Experimental Detection Performance of Cyclostationarity-Based Spectrum Sensing [J].
Bating, Carlos B. ;
Marciano, Joel S., Jr. .
TENCON 2015 - 2015 IEEE REGION 10 CONFERENCE, 2015,
[37]   Comparative Evaluation of Cyclostationary Detection based Cognitive Spectrum Sensing [J].
Ilyas, Ikram ;
Paul, Shuva ;
Rahman, Akhlaqur ;
Kundu, Ripan Kumar .
2016 IEEE 7TH ANNUAL UBIQUITOUS COMPUTING, ELECTRONICS MOBILE COMMUNICATION CONFERENCE (UEMCON), 2016,
[38]   Deep Learning-Based Detection Algorithm for the Multi-User MIMO-NOMA System [J].
Wang, Qixing ;
Zhou, Ting ;
Zhang, Hanzhong ;
Hu, Honglin ;
Pignaton de Freitas, Edison ;
Feng, Songlin .
ELECTRONICS, 2024, 13 (02)
[39]   VLSI Architecture for Cyclostationary Feature Detection Based Spectrum Sensing for Cognitive-Radio Wireless Networks and Its ASIC Implementation [J].
Murty, Mahesh S. ;
Shrestha, Rahul .
2016 IEEE COMPUTER SOCIETY ANNUAL SYMPOSIUM ON VLSI (ISVLSI), 2016, :69-74
[40]   A Complete Framework for Spectrum Sensing based on Spectrum Change Points Detection for Wideband Signals [J].
Guibene, Wael ;
Hayar, Aawatif ;
Turki, Monia ;
Slock, Dirk .
2012 IEEE 75TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2012,