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Cited by 216

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Engineering Radio Maps for Wireless Resource Management

Bi, Suzhi, Lyu, Jiangbin, Ding, Zhi, Zhang, Rui·2019·IEEE Wireless Communications

Abstract

The term 'radio map' in general refers to the geographical signal power spectrum density, formed by the superposition of concurrent wireless transmissions, as a function of location, frequency and time. It contains rich and useful information regarding the spectral activities and propagation channels in wireless networks. Such information can be leveraged to not only improve the performance of existing wireless services (e.g., via proactive resource provisioning) but also enable new applications, such as wireless spectrum surveillance. However, practical implementation of radio maps in wireless communication is often difficult due to the heterogeneity of modern wireless networks and the sheer amount of wireless data to be collected, stored, and processed. In this article, we provide an overview of the state-of-the-art techniques for constructing radio maps as well as applying them to achieve efficient and secure resource management in wireless networks. Some key research challenges are highlighted to motivate future investigation.

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Metadata

Authors
Bi, S., Lyu, J., Ding, Z., & Zhang, R.
Venue
IEEE Wireless Communications
Published
2019-04
Volume
26
Issue
2
Pages
133-141
ISSN
  • 1536-1284 (ISSN-L)
  • 1558-0687
OpenAlex
W2883649322
Cited by
216
References
2
FWCI
9.50
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Engineering Radio Maps for Wireless Resource Management. https://app.cochat.ai/papers/10.1109/mwc.2019.1800146
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Bi, S., Lyu, J., Ding, Z., & Zhang, R. (2019). Engineering Radio Maps for Wireless Resource Management. IEEE Wireless Communications. https://doi.org/10.1109/mwc.2019.1800146

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.