Abstract
This paper investigates the power resource optimization problem for a new cognitive radio framework with a symbiotic backscatter-aided full-duplex secondary link under imperfect interference cancellation and other hardware impairments. The problem is formulated using two approaches, namely, maximization of the sum rate and maximization of the primary link rate, subject to rate constraints on the secondary link, and the solution for each approach is derived. The problem of a half-duplex secondary link is also solved. Simulation results show that the sum rate and exploitation of the full-duplex capability of the secondary link are strongly affected by both the problem objective and hardware impairments.
Highlights
Cognitive radio (CR) is shifting spectrum usage from fixed allocation to the sharing/exploration of new spectrum resources [1]
In the proposed CR framework (CRF), the secondary link (SL) consists of two FD nodes that simultaneously transmit to each other
The results presented are achieved over 106 random channel generations
Summary
Cognitive radio (CR) is shifting spectrum usage from fixed allocation to the sharing/exploration of new spectrum resources [1]. It is known that imperfect self-interference cancellation (SIC) and other hardware impairments (HIs) [19,20] greatly affect the performance of FD communication, and it is important to consider them in resource allocation [11,13,21,22]. In [14], the authors considered the power resource allocation optimization of BC-aided transmission; this is HD without HI. The power resource optimization problem for FD-based, BC-aided transmission in the CRF with HIs needs to be investigated. We solve the power resource optimization problem for the new CRF with a symbiotic, FD-based, BC-aided SL protecting a primary link (PL), considering HIs for the nodes of both links. Notations: E[ X ] is the expectation of the random variable X. n a ∼ CN (0, σa2 ) defines a circularly additive white Gaussian noise (AWGN) variable n a with a mean of zero and a variance of σa
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