Abstract
We show that timing mismatch between the primary and the secondary users results in improving the cognitive radio networks (CRNs) performance. We perform oversampling to exploit the advantages of asynchrony in CRNs. We design detectors for asynchronous transmission to boost the signal received by the primary user in the selfless overlay CRN paradigm. Accordingly, more power is conserved for the secondary user transmission without the performance of the primary user or spectrum license holder being degraded. Simulation results present a green CRN with an almost 6-dB power gain compared with the current CRN frameworks.
Highlights
I N A selfless overlay cognitive radio network (CRN), the primary user (PU) allows the secondary user (SU) to use its spectral resources, and in return, the SU helps the PU by relaying the PU’s message to the PU receiver [1], [2]
We show that the realistic assumption of asynchronous signal reception at the PU and SU receivers leads to a larger SINR
cognitive radio networks (CRNs) results in better SINR at the PU receiver, the constant α can be less than that of synchronous CRNs
Summary
I N A selfless overlay cognitive radio network (CRN), the primary user (PU) allows the secondary user (SU) to use its spectral resources, and in return, the SU helps the PU by relaying the PU’s message to the PU receiver [1], [2]. The main novelty of this work is that it intentionally adds a timing mismatch between the signals of the PU and SU and designs an appropriate decoder to take advantage of this timing mismatch This will tremendously improve the performance of a cognitive radio system. The main contributions of this letter address: 1) Improving signal-to-interference-plus-noise ratio (SINR) at the PU and SU receivers by exploiting an intentionally added timing mismatch between the PU and SU; 2) Enhancing the energy efficiency and throughput of the overlay cognitive radio (CR), by proposing an oversampling scheme. Lapiccirella et al [7] consider overlay PU and SUs transmissions by allowing the SUs to monitor certain PU control signals in the feedback channel In their scheme, SUs use a control algorithm to approximate the optimum solution of the SU rate maximization.
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