The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks
Abstract
We consider cooperative spectrum sensing in which multiple cognitive radios collaboratively detect the spectrum holes through energy detection and investigate the optimality of cooperative spectrum sensing with an aim to optimize the detection performance in an efficient and implementable way. We derive the optimal voting rule for any detector applied to cooperative spectrum sensing. We also optimize the detection threshold when energy detection is employed. Finally, we propose a fast spectrum sensing algorithm for a large network which requires fewer than the total number of cognitive radios in cooperative spectrum sensing while satisfying a given error bound.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cognitive radio: making software radios more personal
Mitola, J., & Maguire, G. Q. (1999) · IEEE Personal Communications · doi:10.1109/98.788210 · Cited by 9,135
Sensing-Throughput Tradeoff for Cognitive Radio Networks
Liang, Y.-C., Zeng, Y., Peh, E. C. Y., & Hoang, A. T. (2008) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2008.060869 · Cited by 2,974
Implementation issues in spectrum sensing for cognitive radios
Cabric, D., Mishra, S. M., & Brodersen, R. W. (2005) · Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004. · doi:10.1109/acssc.2004.1399240 · Cited by 2,589
Collaborative spectrum sensing for opportunistic access in fading environments
Ghasemi, A., & Sousa, E. S. (2005) · doi:10.1109/dyspan.2005.1542627 · Cited by 1,799
Distributed Detection and Data Fusion
Varshney, P. K. (1997) · Springer eBooks · doi:10.1007/978-1-4612-1904-0 · Cited by 1,788
Cooperative Sensing among Cognitive Radios
Mishra, S. M., Sahai, A., & Brodersen, R. W. (2006) · International Conference on Communications · doi:10.1109/icc.2006.254957 · Cited by 1,452
Cooperative Communications for Cognitive Radio Networks
Ben Letaief, K., & Zhang, W. (2009) · Proceedings of the IEEE · doi:10.1109/jproc.2009.2015716 · Cited by 1,153
Self-citationOn the energy detection of unknown signals over fading channels
Digham, F. F., Alouini, M.-S., & Simon, M. K. (2004) · IEEE International Conference on Communications, 2003. ICC '03. · doi:10.1109/icc.2003.1204119 · Cited by 1,102
Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks
Quan, Z., Cui, S., & Sayed, A. H. (2008) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2007.914882 · Cited by 1,031
Cooperative spectrum sensing in cognitive radio networks
Ganesan, G., & Li, Y. (2005) · doi:10.1109/dyspan.2005.1542628 · Cited by 561
Cited by
Spectrum Sensing for Cognitive Radio : State-of-the-Art and Recent Advances
Axell, E., Leus, G., Larsson, E. G., & Poor, H. V. (2012) · IEEE Signal Processing Magazine · doi:10.1109/msp.2012.2183771 · Cited by 1,116
Advances on Spectrum Sensing for Cognitive Radio Networks: Theory and Applications
Ali, A., & Hamouda, W. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2631080 · Cited by 624
A Survey on Machine-Learning Techniques in Cognitive Radios
Bkassiny, M., Li, Y., & Jayaweera, S. K. (2013) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2012.100412.00017 · Cited by 580
Muhammad, K., Ahmad, J., & Baik, S. W. (2018) · Neurocomputing · doi:10.1016/j.neucom.2017.04.083 · Cited by 558
Metadata
- Authors
- Zhang, W., Mallik, R., & Letaief, K.
- Venue
- IEEE Transactions on Wireless Communications
- Published
- 2009-12
- Volume
- 8
- Issue
- 12
- Pages
- 5761-5766
- ISSN
- 1536-1276 (ISSN-L)
- OpenAlex
- W2106673869
- Cited by
- 785
- References
- 11
- FWCI
- 53.57
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks. https://app.cochat.ai/papers/10.1109/twc.2009.12.081710
- The paper
- Zhang, W., Mallik, R., & Letaief, K. (2009). Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks. IEEE Transactions on Wireless Communications. https://doi.org/10.1109/twc.2009.12.081710
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.