Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Most of the research in spectrum sharing has neglected the effect of interference from primary users. In this reported work, the performance of spectrum sharing amplify-and-forward relay networks under interference-limited environment, where the interference induced by the transmission of primary networks is taken into account, is investigated. In particular, a closed-form expression tight lower bound of outage probability is derived. To reveal additional insights into the effect of primary networks on the diversity and array gains, an asymptotic expression is also obtained.Introduction: Spectrum sharing relay networks have recently attracted much attention for providing higher reliability over direct transmission under scarce and limited spectrum conditions [1 -4]. Specifically, the performance of decode-and-forward (DF) relay networks in spectrum sharing environments has been reported [1 -3]. Recently, we have investigated the outage probability (OP) for spectrum sharing networks with amplify-and-forward (AF) relaying [4]. It has been shown in [1][2][3][4] that utilising DF/AF relaying significantly enhances system performance in such constrained transmission power conditions. However, most of the previous works have neglected the effect of the primary transmitter (PU-Tx), which significantly deteriorates the performance of the secondary network. In this Letter, to evaluate this interference effect, we derive a closed-form expression for OP and further calculate an asymptotic expression. We show that under fixed interference from primary networks, the diversity order remains unchanged and the loss only occurs in the array gain, which is theoretically quantified. However, when the interference is linearly proportional to the signal-to-noise ratio (SNR) of the secondary network, the system is severely affected, leading to an irreducible error floor of OP.
Most of the research in spectrum sharing has neglected the effect of interference from primary users. In this reported work, the performance of spectrum sharing amplify-and-forward relay networks under interference-limited environment, where the interference induced by the transmission of primary networks is taken into account, is investigated. In particular, a closed-form expression tight lower bound of outage probability is derived. To reveal additional insights into the effect of primary networks on the diversity and array gains, an asymptotic expression is also obtained.Introduction: Spectrum sharing relay networks have recently attracted much attention for providing higher reliability over direct transmission under scarce and limited spectrum conditions [1 -4]. Specifically, the performance of decode-and-forward (DF) relay networks in spectrum sharing environments has been reported [1 -3]. Recently, we have investigated the outage probability (OP) for spectrum sharing networks with amplify-and-forward (AF) relaying [4]. It has been shown in [1][2][3][4] that utilising DF/AF relaying significantly enhances system performance in such constrained transmission power conditions. However, most of the previous works have neglected the effect of the primary transmitter (PU-Tx), which significantly deteriorates the performance of the secondary network. In this Letter, to evaluate this interference effect, we derive a closed-form expression for OP and further calculate an asymptotic expression. We show that under fixed interference from primary networks, the diversity order remains unchanged and the loss only occurs in the array gain, which is theoretically quantified. However, when the interference is linearly proportional to the signal-to-noise ratio (SNR) of the secondary network, the system is severely affected, leading to an irreducible error floor of OP.
In this paper, we analyze the performance of cognitive amplify-and-forward (AF) relay networks with beamforming under the peak interference power constraint of the primary user (PU). We focus on the scenario that beamforming is applied at the multi-antenna secondary transmitter and receiver. Also, the secondary relay network operates in channel state informationassisted AF mode, and the signals undergo independent Nakagami-m fading. In particular, closed-form expressions for the outage probability and symbol error rate (SER) of the considered network over Nakagami-m fading are presented. More importantly, asymptotic closed-form expressions for the outage probability and SER are derived. These tractable closedform expressions for the network performance readily enable us to evaluate and examine the impact of network parameters on the system performance. Specifically, the impact of the number of antennas, the fading severity parameters, the channel mean powers, and the peak interference power is addressed. The asymptotic analysis manifests that the peak interference power constraint imposed on the secondary relay network has no effect on the diversity gain. However, the coding gain is affected by the fading parameters of the links from the primary receiver to the secondary relay network.
This paper studies optimal precoder design for non-regenerative multiple-input multiple-output (MIMO) cognitive relay systems, where the secondary user (SU) and relay station (RS) share the same spectrum with the primary user (PU). We aim to maximize the system capacity subject to the transmit power constraints at the SU transmitter (SU-Tx) and RS, and the interference power constraint at the PU. We jointly optimize precoders for the SU-Tx and RS with perfect and imperfect channel state information (CSI) between the SU-Tx/RS and PU, where our design approach is based on the alternate optimization method. With perfect CSI, we derive the optimal structures of the RS and SU-Tx precoding matrices and develop the gradient projection algorithm to find numerical solution of the RS precoder. Under imperfect CSI, we derive equivalent conditions for the interference power constraints and convert the robust SU-Tx precoder optimization into the form of semi-definite programming. For the robust RS precoder optimization, we relax the interference power constraint related with the RS precoder to be convex by using an upper bound and apply the gradient projection algorithm to deal with it. Simulation results demonstrate the effectiveness of the proposed schemes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.