Abstract
In this paper, we propose multi-tag selection schemes to improve achievable rate of a secondary ambient backscatter communication (ABC) system with multiple tags and a single power beacon in cognitive radio (CR) environments. Using the secondary power beacon, which plays a role as radio frequency (RF) source when there is no ambient RF source signals, with spectrum sensing capability, the secondary ABC system determines operation modes according to activity of the licensed primary system. When the primary system is active, a tag is randomly selected due to a lack of channel information, while when it is inactive, the best tag maximizing achievable rate is selected using the secondary power beacon. Moreover, we apply a successive interference cancellation (SIC) technique when the secondary power beacon is able to work. The performance of the proposed multi-tag selection schemes is mathematically analyzed in terms of bit error rate (BER) and achievable rate. Finally, the performance of the proposed schemes is evaluated through simulations in terms of BER and achievable rate. It is shown that our approach can significantly outperform a conventional ABC system in CR environments, especially under a low-active primary system regime.
Highlights
As Internet of things (IoT) era is coming, the number of wireless devices constructing IoT networks is explosively increasing. is causes a serious shortage in spectrum resource which is necessarily required for wireless connectivity
We consider a secondary ambient backscatter communication (ABC) system with multiple tags and a single power beacon, which can opportunistically access wireless channel of the licensed primary system under cognitive radio (CR) requirements. In this concept, according to the activity of the primary system, we propose adaptive multi-tag selection schemes to improve the performance of the secondary ABC system in terms of bit error rate (BER) and achievable rate. erefore, the proposed schemes can significantly improve the performance of the secondary ABC system, especially under a low-active primary system regime. e contributions of this paper are summarized as follows: (i) Employing a power beacon in the secondary CR system, a novel multi-tag selection scheme is proposed in order to improve the achievable rate of the secondary system in overlay CR environments
Since the secondary power beacon is a part of the secondary system, the channel gains can be estimated for this case and we can employ a successive interference cancellation (SIC) technique at the secondary receiver
Summary
As Internet of things (IoT) era is coming, the number of wireless devices constructing IoT networks is explosively increasing. is causes a serious shortage in spectrum resource which is necessarily required for wireless connectivity. An ambient backscatter communication (ABC) system exploiting existing radio frequency (RF) signals such as TV, FM radio, and Wi-Fi was proposed [1] It is a very promising IoT technology to solve the spectrum shortage problem as it does not require additional spectrum for communications [2]. We consider a secondary ABC system with multiple tags and a single power beacon, which can opportunistically access wireless channel of the licensed primary system under CR requirements. In this concept, according to the activity of the primary system, we propose adaptive multi-tag selection schemes to improve the performance of the secondary ABC system in terms of bit error rate (BER) and achievable rate.
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