The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
A Survey of Advanced Techniques for Spectrum Sharing in 5G Networks
Abstract
Spectrum efficiency is one of the key performance metrics in 5G communication networks. To enhance spectrum efficiency, advanced spectrum sharing techniques are normally used. In this article, we provide a survey of the recent development of advanced techniques for spectrum sharing. In particular, we elaborate cognitive radio, device-todevice communication, in-band full-duplex communication, non-orthogonal multiple access, and Long Term Evolution on unlicensed spectrum. For each technique, we present the basic principle and research methodology of the state of the art. By considering various promising evolutions in 5G networks, we emphasize challenges to deploy each technique. Finally, we discuss the integration issue of multiple spectrum sharing techniques and identify potential challenges.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“However, recent studies have revealed inherent security weaknesses in blockchain operations which are mostly related to 5G systems [296].”
From Blockchain for 5G and beyond networks: A state of the art survey (2020) · cites this paper as [296]
In the citing paper
“Seriously, adversaries can exploit this vulnerability to perform attacks, for example, they can modify the ordering of transactions, hamper normal mining operations or initiate double-spending attack, all of which can degrade the blockchain network [296].”
From Blockchain for 5G and beyond networks: A state of the art survey (2020) · cites this paper as [296]
Citations
Cites
Andrews, J. G., Buzzi, S., Choi, W., Hanly, S. V., Lozano, A., Soong, A. C. K., & Zhang, J. C. (2014) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2014.2328098 · Cited by 8,106
Application of Non-Orthogonal Multiple Access in LTE and 5G Networks
Ding, Z., Liu, Y., Choi, J., Sun, Q., Elkashlan, M., Chih‐Lin, I., & Poor, H. V. (2017) · IEEE Communications Magazine · doi:10.1109/mcom.2017.1500657cm · Cited by 1,989
Bharadia, D., McMilin, E., & Katti, S. (2013) · ACM SIGCOMM Conference (SIGCOMM) · doi:10.1145/2486001.2486033 · Cited by 1,883
Device-to-Device Communication in LTE-Advanced Networks: A Survey
Liu, J., Kato, N., Ma, J., & Kadowaki, N. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2375934 · Cited by 643
A Survey of In-Band Full-Duplex Transmission: From the Perspective of PHY and MAC Layers
Kim, D., Lee, H., & Hong, D. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2403614 · Cited by 622
Resource allocation for spectrum underlay in cognitive radio networks
Le, L. B., & Hossain, E. (2008) · IEEE Transactions on Wireless Communications · doi:10.1109/t-wc.2008.070890 · Cited by 459
A Survey on Radio Resource Allocation in Cognitive Radio Sensor Networks
Ahmad, A., Ahmad, S. A., Rehmani, M. H., & Hassan, N. U. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2401597 · Cited by 285
Performance Analysis and Optimization in Downlink NOMA Systems With Cooperative Full-Duplex Relaying
Zhang, L., Liu, J., Xiao, M., Wu, G., Liang, Y., & Li, S. (2017) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2017.2724678 · Cited by 274
Kang, X., Zhang, R., Liang, Y., & Garg, H. K. (2011) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2011.110210 · Cited by 218
Efficient Scheduling and Power Allocation for D2D-Assisted Wireless Caching Networks
Zhang, L., Xiao, M., Wu, G., & Li, S. (2016) · IEEE Transactions on Communications · doi:10.1109/tcomm.2016.2552164 · Cited by 128
Research works printed but not linked: 1
- 2014, 5G Vision and Requirements, China IMT-2020 PG white paper
Cited by
Sorted by citations
Items 301–321 of 321
Kim, B., & Kim, J. (2024) · IEEE Access · doi:10.1109/access.2024.3410243
Salawu, N., Hussaini, A., Muhammed, S. A., Suleiman, D., & Achimugu, S. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-97-3289-0_47
A Novel Codebook Construction and Blind Detection Method for Grant-Free mMTCs
Su, J., Sui, X., & Si, Z. (2024) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-031-67162-3_21
AI-Enabled Opportunistic Spectrum Sharing
Zhang, L., Xiao, M., Wang, Z., & Tang, W. (2024) · SpringerBriefs in computer science · doi:10.1007/978-981-97-7644-3_2
Introductions and Preliminaries
Zhang, L., Xiao, M., Wang, Z., & Tang, W. (2024) · SpringerBriefs in computer science · doi:10.1007/978-981-97-7644-3_1
AI-Enabled Centralized Spectrum Sharing
Zhang, L., Xiao, M., Wang, Z., & Tang, W. (2024) · SpringerBriefs in computer science · doi:10.1007/978-981-97-7644-3_3
FULL‐DUPLEX COMMUNICATIONS ANTENNAS
Smida, B., Khaledian, S., Farzami, F., Islam, M. A., & Erricolo, D. (2024) · Encyclopedia of RF and Microwave Engineering · doi:10.1002/9781405165518.erfme505
Analyzing Power Correlation Distributions for Dynamic Spectrum Awareness in 5G Networks
Ashdown, A., Kelly, J., Ashdown, J., Kurzrock, I., Turck, C., & Restuccia, F. (2024) · IEEE Military Communications Conference (MILCOM) · doi:10.1109/milcom61039.2024.10773972
Sun, Q., Zhang, Y., Wu, H., Yin, L., & Petrosian, O. (2025) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2025.111207
Liu, Q., Chen, L., Li, S., Xiang, Y., & Zhao, B. (2025) · Frontiers of Information Technology & Electronic Engineering · doi:10.1631/fitee.2400033
Mitigating Stragglers in Distributed Learning: A Novel Framework with Gradient Coding
Wang, J., Ning, J., He, Z., Zhao, J. P., & Yang, T. (2024) · IEEE Globecom Workshops (GC Wkshps) · doi:10.1109/gcwkshp64532.2024.11101104
Guo, Z., Zhang, C., Li, M., & Krunz, M. (2025) · IEEE International Symposium on Dynamic Spectrum Access Networks · doi:10.1109/dyspan64764.2025.11115920
Divyalakshmi, E., & Rajkumar, D. (2025) · International Conference on Computing Methodologies and Communication (ICCMC) · doi:10.1109/iccmc65190.2025.11140721
Outage Analysis of STBC-N-OMA Inspired Overlay Cognitive Radio System with ISIC
Singh, S., Bansal, M., Maurya, S., & Sahu, D. (2025) · IEEE Conference on Information and Communication Technology (CICT) · doi:10.1109/cict67193.2025.11399150
Finding a needle in a (Spectrum) haystack: Multi-band multi-device radio fingerprinting
Alla, I., Zhang, M., Ashdown, J., Loscrì, V., & Restuccia, F. (2026) · Computer Networks · doi:10.1016/j.comnet.2026.112148
An Auction-based Matching Game for Cognitive Radio Heterogeneous Relay Networks
Rostom, M. A., El-Malek, A. H. A., Abo-Zahhad, M. M., & Elsabrouty, M. M. (2025) · IEEE Middle East Conference on Communications and Networking (MECOM) · doi:10.1109/mecom67453.2025.11439619
Strategies to Address the Digital Divide
Kumar, S. K. A. (2026) · Textbooks in telecommunication engineering · doi:10.1007/978-3-032-09261-8_2
Minimum Separation Distances for Local 5G/6G Networks in the 3.8-4.2 GHz Frequency Band
Weththasinghe, T., Basaure, A., Sivalingam, T., Marasinghe, D., Rajapaksha, N., & Matinmikko‐Blue, M. (2026) · IEEE International Symposium on Dynamic Spectrum Access Networks · doi:10.1109/dyspan69846.2026.11571102
Kumar, R., Kumar, A., Gupta, R., Pundir, A. K. S., Singh, A. K., & Dhanda, K. (2026) · Journal on Wireless Communications and Networking · doi:10.1186/s13638-026-02652-3
Sun, Y., Shi, Z., Wang, J., & Liu, J. (2026) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2026.3739473
Shrivastava, U., Chaurasiya, R. B., Guimarães, D. A., & Singh, A. (2026) · International Symposium on VLSI Design and Test (VDAT) · doi:10.1109/vdat72243.2026.11704610
Metadata
- Authors
- Zhang, L., Xiao, M., Wu, G., Alam, M., Liang, Y.-C., & Li, S.
- Affiliations
- The University of Sydney (AU)
- KTH Royal Institute of Technology (SE)
- University of Electronic Science and Technology of China (CN)
- Instituto de Telecomunicações (PT)
- Venue
- IEEE Wireless Communications
- Published
- 2017-10
- Volume
- 24
- Issue
- 5
- Pages
- 44-51
- ISSN
- 1536-1284 (ISSN-L)
- OpenAlex
- W2766845249
- Cited by
- 321
- References
- 14
- Citations by year
- 2026: 6 · 2025: 11 · 2024: 33 · 2023: 34 · 2022: 44 · 2021: 44 · 2020: 50 · 2019: 59 · 2018: 40
- FWCI
- 27.15
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Wireless Communications (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Cognitive Radio Networks and Spectrum Sensing
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced MIMO Systems Optimization
- Physical Sciences › Engineering › Media Technology › Telecommunications and Broadcasting Technologies
- Keywords
- spectrum sharing, 5G, spectral efficiency, cognitive radio, device-to-device communication, in-band full-duplex, non-orthogonal multiple access
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
