Li et al., 2010 - Google Patents
Joint spectrum sensing and primary user localization for cognitive radio via compressed sensingLi et al., 2010
View PDF- Document ID
- 4133088602922771268
- Author
- Li X
- Han Q
- Chakravarthy V
- Wu Z
- Publication year
- Publication venue
- 2010-MILCOM 2010 MILITARY COMMUNICATIONS CONFERENCE
External Links
Snippet
Radio spectrum has become a precious resource, and it has long been the dream of wireless communication engineers to maximize the utilization of the radio spectrum. Dynamic Spectrum Access (DSA) and Cognitive Radio (CR) have been considered …
- 238000001228 spectrum 0 title abstract description 49
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
- H04B1/06—Receivers
- H04B1/10—Means associated with receiver for limiting or suppressing noise or interference induced by transmission
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B1/00—Details of transmission systems, not covered by a single one of groups H04B3/00 - H04B13/00; Details of transmission systems not characterised by the medium used for transmission
- H04B1/69—Spread spectrum techniques
- H04B1/7163—Spread spectrum techniques using impulse radio
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna systems, i.e. transmission or reception using multiple antennas
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/14—Spectrum sharing arrangements between different networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/30—Monitoring; Testing of propagation channels
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W84/00—Network topologies
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATIONS NETWORKS
- H04W72/00—Local resource management, e.g. wireless traffic scheduling or selection or allocation of wireless resources
- H04W72/04—Wireless resource allocation
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Zeng et al. | A review on spectrum sensing for cognitive radio: challenges and solutions | |
| Zeng et al. | Maximum eigenvalue detection: Theory and application | |
| Guibène et al. | Cooperative spectrum sensing and localization in cognitive radio systems using compressed sensing | |
| Sheikh et al. | Cognitive spectrum sensing and detection using polyphase DFT filter banks | |
| Srinu et al. | FPGA implementation and performance study of spectrum sensing based on entropy estimation using cyclic features | |
| Chaudhari et al. | Spatial interpolation of cyclostationary test statistics in cognitive radio networks: Methods and field measurements | |
| Li et al. | Joint spectrum sensing and primary user localization for cognitive radio via compressed sensing | |
| Chakraborty et al. | Collaboration with cellular networks for RFI cancellation at radio telescope | |
| Vazquez-Vilar et al. | Multiantenna spectrum sensing exploiting spectral a priori information | |
| Shukla et al. | A survey on energy detection schemes in cognitive radios | |
| Liu et al. | Comparison of reliability, delay and complexity for standalone cognitive radio spectrum sensing schemes | |
| Yadav et al. | A comprehensive study of spectrum sensing techniques in cognitive radio | |
| Youssef et al. | Efficient cooperative spectrum detection in cognitive radio systems using wavelet fusion | |
| Lv et al. | A novel signal separation algorithm based on compressed sensing for wideband spectrum sensing in cognitive radio networks | |
| Elzanati et al. | Adaptive spectrum hole detection using sequential compressive sensing | |
| CN119109538A (en) | A high-level semantic information acquisition method for cognitive radio | |
| Lin et al. | Cognitive radio network as sensors: Low signal-to-noise ratio collaborative spectrum sensing | |
| Rao et al. | Wavelet based spectrum sensing techniques in cognitive radio | |
| Wael et al. | Performance analysis of sub-Nyquist sampling for Wideband spectrum sensing in cognitive radio | |
| Kansal et al. | Cognitive radio based spectrum sharing technique for 5G system | |
| Liu et al. | Primary user signal detection based on virtual multiple antennas for cognitive radio networks | |
| Farrag et al. | C44. Secure cooperative blindly-optimized compressive spectrum sensing for cognitive radio | |
| Chang et al. | Analysis of primary user duty cycle impact on spectrum sensing performance | |
| Moghaddam et al. | A comparative study on the two popular cognitive radio spectrum sensing methods: Matched filter versus energy detector | |
| Eslamı et al. | Performance Analysis of Energy Based Spectrum Sensing over Nakagami-m Fading Channels with Noise uncertainty |