Performance analysis of cognitive underlay two-way relay networks with interference and imperfect channel state information

Toan, Hoang Van; Bao, Vo Nguyen Quoc; Lê, Khoa N.

doi:10.1186/s13638-018-1063-z

Cited by 13 publications

(3 citation statements)

References 31 publications

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“…We assume that all nodes in SN operate in an AF half-duplex mode with the help of information relaying from each source terminal to R in two phases. All nodes in SN are assumed to have MIMO antennas, and there is no direct transmission between S 1 and S 2 [34][35][36]. We consider a scenario where the source terminals and a relay terminal are equipped with N S 1 , N S 2 , and N R antennas, respectively.…”

Section: System Modelmentioning

confidence: 99%

Interference Alignment in Multi-Input Multi-Output Cognitive Radio-Based Network

Başgümüş¹,

Namdar²,

Alakoca³

et al. 2018

Cognitive Radio in 4g/5g Wireless Communication Systems

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This study investigates the interference alignment techniques for cognitive radio networks toward 5G to meet the demand and challenges for future wireless communications requirements. In this context, we examine the performance of the interference alignment in two parts. In the first part of this chapter, a multi-input multi-output (MIMO) cognitive radio network in the presence of multiple secondary users (SUs) is investigated. The proposed model assumes that linear interference alignment is used at the primary system to lessen the interference between primary and secondary networks. Herein, we derive the closed-form mathematical equations for the outage probability considering the interference leakage occurred in the primary system. The second part of this study analyzes the performance of interference alignment for underlay cognitive two-way relay networks with channel state information (CSI) quantization error. Here, a two-way amplify-and-forward relaying scheme is considered for independent and identically distributed Rayleigh fading channel. The closed-form average pairwise error probability expressions are derived, and the effect of CSI quantization error is analyzed based on the bit error rate performance. Finally, we evaluate the instantaneous capacity for both primary and secondary networks * .

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Section: System Modelmentioning

confidence: 99%

Interference Alignment in Multi-Input Multi-Output Cognitive Radio-Based Network

Başgümüş¹,

Namdar²,

Alakoca³

et al. 2018

Cognitive Radio in 4g/5g Wireless Communication Systems

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show abstract

“…The perfect Successive Interference Cancellation (SIC) is assisted to cancel the interference. In [12], the imperfect information of channel of SU to PU is assumed where outage probability is considered as the main quality parameter for cognitive radio system evaluation. Presence of PU interference in cognitive system and interference analysis is done in [13] to discuss the outage probability in decode and forward (DF) strategy.…”

Section: Introductionmentioning

confidence: 99%

Outage analysis of cognitive communication system using opportunistic relay selection and secondary users as relays

Javadzadeh

Zahedi

2022

International Journal of Electronics Letters

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Efficient bandwidth utilization is significant in new communication systems where secondary users can be used besides of primary users considering interference issues and idle state of primary users. Using secondary users as relays to transmit their own signals in addition to the primary signals can be applied for more reliability of the system where opportunistic relay selection can significantly enhance the performance of the system. The best-condition secondary user is selected as the optimum relay for retransmission of primary/secondary signal. Outage probability is analyzed in this paper based on decode and forward techniques in secondary users while the closed-form statement for outage probability is provided and verified by numerical evaluations.

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“…The concept of cooperative decode-and-forward (DF) relay that harvests energy from both source and interference signals in the Rayleigh fading environment is proposed in [ 24 ] and further analyzed in [ 27 ] for Nakagami- m environment and nonlinear energy harvester. Energy harvesting is analyzed in [ 28 ] for cooperative relaying cognitive network with perfect CSI, and in [ 29 , 30 , 31 ] for the case of imperfect CSI. However, to the best of authors’ knowledge, there is no available investigation concerning the impact of the statistical CSI on the performance of the cognitive cooperative relaying network that employs energy harvesting.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Underlay Cognitive Radio System with Self-Sustainable Relay and Statistical CSI

Kozić

Blagojević

Ivaniš

2021

Sensors

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The relentlessly increasing number of small-sized devices with limited powering and computational capabilities requires the adoption of new approaches to spectrum access. In this paper, we analyze an underlay cooperative cognitive wireless system based on available statistical channel state information (CSI) that is applicable to the cognitive system with limited computational resources due to its low complexity. We considered the scenario where the primary and the cognitive network coexist in the same spectrum band, under the constraints of interference threshold and maximal tolerable outage permitted by the primary user. The communication in the secondary decode-and-forward (DF) relaying system is established via a self-sustainable relay, which harvests energy from both cognitive and primary transmitters. The closed-form expressions for the outage probability of the cognitive network are derived, which are valid for both time-switching relaying (TSR) and power-splitting relaying (PSR) protocols. We analyze the influence of both cognitive and primary systems as well as the impact of channel parameters on the cognitive system outage performance. The derived analytical results are corroborated by an independent simulation method.

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Performance analysis of cognitive underlay two-way relay networks with interference and imperfect channel state information

Cited by 13 publications

References 31 publications

Interference Alignment in Multi-Input Multi-Output Cognitive Radio-Based Network

Interference Alignment in Multi-Input Multi-Output Cognitive Radio-Based Network

Outage analysis of cognitive communication system using opportunistic relay selection and secondary users as relays

Performance Analysis of Underlay Cognitive Radio System with Self-Sustainable Relay and Statistical CSI

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