Abstract
To maximize spectrum access opportunities for white space devices, incorporating real-time spectrum sensing with geolocation database is a promising approach to enhance detection resolution with reduced computation complexity. Advanced spectrum sensing techniques are needed to quickly and accurately identify spectrum occupancy over a wide frequency range. However, the stringent requirements from wideband signal acquisition and processing pose a major implementation challenge in compact devices with limited energy storage and computation capabilities. In this paper, a hybrid scheme of sub-Nyquist wideband spectrum sensing with geolocation database is proposed to achieve accurate detection of the surrounding spectrum with reduced number of required measurements and computation complexity. Two iterative algorithms are modified to incorporate a priori information from geolocation database, therefore enabling spectrum sensing to be performed only on a limited number of potentially vacant channels over TV white space. Theoretical analyses and simulation results show that the proposed joint scheme speeds up the sensing process with enhanced detection performance and smaller required sampling rate, whereas the updated channel information from wideband spectrum sensing reduces the risk of interferences to the dynamic incumbent users.
Highlights
The rapid growth of Internet of things and mobile services is overwhelming current static spectrum supply, and encouraging an urgent need for improved and dynamic spectrum usage to mitigate the spectrum supply-demand gap [1]
There is an increased interest in the promising technique of spectrum sharing to facilitate efficient use of the spectrum driven by the following three factors: first, there is a significant spectrum crunch faced by the commercial mobile broadband users with the compelling need to get additional spectrum for the wireless broadband services [2]; second is the awareness that many licensed frequency bands are underutilised in practice either over time or geography [3]; there have been some rapid advances towards the development of dynamic spectrum access through approaches such as geolocation database and cognitive radio [4]
Motivated by the above challenges, a low-complexity hybrid scheme of sub-Nyquist wideband spectrum sensing with geolocation database is explored in this paper for the effective use of white spaces within the coexistence of dynamic incumbent systems, such as the wireless microphones that do not register in the database
Summary
The rapid growth of Internet of things and mobile services is overwhelming current static spectrum supply, and encouraging an urgent need for improved and dynamic spectrum usage to mitigate the spectrum supply-demand gap [1]. Motivated by the above challenges, a low-complexity hybrid scheme of sub-Nyquist wideband spectrum sensing with geolocation database is explored in this paper for the effective use of white spaces within the coexistence of dynamic incumbent systems, such as the wireless microphones that do not register in the database. Theoretical analyses and simulation results show that the proposed hybrid scheme speeds up the sensing process with enhanced detection performance and smaller sampling rate, while the use of spectrum sensing can track the changes of spectrum occupancy state in real-time. This is specially important when the prior information from geolocation is not perfectly reliable, so the instant channel occupancy state provided by spectrum. Sensing reduces the risks of WSDs interfering with dynamic incumbent users
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