JOURNAL ARTICLE

An Agile Digital Radio System for UHF White Spaces

André PrataArnaldo S. R. OliveiraNuno Borges Carvalho

Year: 2014 Journal:   IEEE Microwave Magazine Vol: 15 (1)Pages: 92-97   Publisher: Institute of Electrical and Electronics Engineers

Abstract

In recent years, we have experienced an impressive spread of mobile communications as well as the emergence of new communication protocols. This lead to an overutilization of some spectrum bands, while the utilization of other bands is sometimes minimal or insignificant. The exploration of the white spaces concept, which represents the unused portions of the spectrum, mainly due to the shutdown of analog TV transmissions, has arisen as a solution for spectrum reuse. Currently, the electromagnetic spectrum is statically allocated, associating each technology to a particular frequency band, which leads to an inefficient use of the spectrum. Thus, it would be advantageous to change the way the electromagnetic spectrum is accessed, adopting a dynamic access paradigm-dynamic spectrum access (DSA). However, for this to be possible, in addition to regulatory changes, it is necessary that the radio physical layer becomes flexible and adaptable, enabling the efficient configuration of various parameters such as transmit frequency and power, modulation, and bandwidth, among others. The well-known concepts or paradigms of software defined radio (SDR) and cognitive radio (CR) are precisely the key to meeting these requirements. Based on these concepts, it will be possible to build a smart, adaptable, efficient, self-aware, and self-learning radio that could easily implement the DSA paradigm [1].

Keywords:
Cognitive radio Software-defined radio White spaces Computer science Radio spectrum Agile software development Ultra high frequency Bandwidth (computing) Key (lock) Spectrum management Telecommunications Electronic engineering Radio-frequency engineering Remote radio head Wireless Electrical engineering Engineering Computer security

Metrics

8
Cited By
1.10
FWCI (Field Weighted Citation Impact)
8
Refs
0.81
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cognitive Radio Networks and Spectrum Sensing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Adaptive Filtering Techniques
Physical Sciences →  Engineering →  Computational Mechanics
Blind Source Separation Techniques
Physical Sciences →  Computer Science →  Signal Processing

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