SIC-Coding Schemes for Underlay Two-Way Relaying Cognitive Networks

Duy, Tran Trung; Ho-Van, Khuong

doi:10.1155/2020/8860551

Cited by 10 publications

(14 citation statements)

References 40 publications

(89 reference statements)

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“…Hence, the average BLER of the SPC-UCR network with the AF protocol is lowerbounded by the ε DF given by (39). Remark 6.…”

Section: The Benchmark Protocolsmentioning

confidence: 97%

“…The proof is given in Papoulis and Pillai [37] (Equations 7-14) and Son and others [39] (Equations 4 and 5).…”

Section: The Proposed Irs Protocolmentioning

confidence: 98%

“…According to previous works [34,39], g SP i is an exponential RV with PDF and CDF given by f g SP i ðxÞ ¼ λ SP e Àλ SP x and F g SP i ðxÞ ¼ 1 À e Àλ SP x , respectively. In the proposed IRS protocol, the secondary source S transmits a signal s with blocklength η to a secondary destination D through the IRS.…”

Section: System Modelmentioning

confidence: 99%

“…Lemma The CDF and PDF of the RV

g_{{SP}_{m}}

are respectively obtained as

\begin{matrix} center F_{g_{{normalSP}_{m}}} (x) \overset{(10 a)}{=} {((), 1 - e^{- λ_{SP} x})}^{M} \\ \overset{(10 b)}{=} \sum_{i = 0}^{M} (\begin{matrix} center \\ i \\ M \end{matrix}) {((), - 1)}^{i} e^{- i λ_{normalSP} x}, \end{matrix}

\begin{matrix} right & left f_{g_{{normalSP}_{m}}} (x) \overset{(11 a)}{=} M λ_{normalSP} e^{- λ_{normalSP} x} {((), 1 - e^{- λ_{SP} x})}^{M - 1} \\ right & \overset{(11 b)}{=} λ_{normalSP} \sum_{i = 1}^{M} (\begin{matrix} center \\ i \\ M \end{matrix}) i {((), - 1)}^{i + 1} e^{- i λ_{normalSP} x} . \end{matrix}

The proof is given in Papoulis and Pillai [37] (Equations 7–14) and Son and others [39] (Equations 4 and 5). …”

Section: Average Blermentioning

confidence: 99%

See 3 more Smart Citations

Short packet communication in underlay cognitive network assisted by an intelligent reflecting surface

Duy¹,

Tuan

Huynh

2022

ETRI Journal

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We propose short packet communication in an underlay cognitive radio network assisted by an intelligent reflecting surface (IRS) composed of multiple reconfigurable reflectors. This scheme, called the IRS protocol, operates in only one time slot (TS) using the IRS. The IRS adjusts its phases to give zero received cumulative phase at the secondary destination, thereby enhancing the end‐to‐end signal‐to‐noise ratio. The transmitting power of the secondary source is optimized to simultaneously satisfy the multi‐interference constraints, hardware limitations, and performance improvement. Simulation and analysis results of the average block error rates (BLERs) show that the performance can be enhanced by installing more reconfigurable reflectors, increasing the blocklength, lowering the number of required primary receivers, or sending fewer information bits. Moreover, the proposed IRS protocol always outperforms underlay relaying protocols using two TSs for data transmission, and achieves the best average BLER at identical transmission distances between the secondary source and secondary destination. The theoretical analyses are confirmed by Monte Carlo simulations.

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“…Hence, the average BLER of the SPC-UCR network with the AF protocol is lowerbounded by the ε DF given by (39). Remark 6.…”

Section: The Benchmark Protocolsmentioning

confidence: 97%

“…The proof is given in Papoulis and Pillai [37] (Equations 7-14) and Son and others [39] (Equations 4 and 5).…”

Section: The Proposed Irs Protocolmentioning

confidence: 98%

Section: System Modelmentioning

confidence: 99%

“…Lemma The CDF and PDF of the RV

g_{{SP}_{m}}

are respectively obtained as

\begin{matrix} center F_{g_{{normalSP}_{m}}} (x) \overset{(10 a)}{=} {((), 1 - e^{- λ_{SP} x})}^{M} \\ \overset{(10 b)}{=} \sum_{i = 0}^{M} (\begin{matrix} center \\ i \\ M \end{matrix}) {((), - 1)}^{i} e^{- i λ_{normalSP} x}, \end{matrix}

\begin{matrix} right & left f_{g_{{normalSP}_{m}}} (x) \overset{(11 a)}{=} M λ_{normalSP} e^{- λ_{normalSP} x} {((), 1 - e^{- λ_{SP} x})}^{M - 1} \\ right & \overset{(11 b)}{=} λ_{normalSP} \sum_{i = 1}^{M} (\begin{matrix} center \\ i \\ M \end{matrix}) i {((), - 1)}^{i + 1} e^{- i λ_{normalSP} x} . \end{matrix}

The proof is given in Papoulis and Pillai [37] (Equations 7–14) and Son and others [39] (Equations 4 and 5). …”

Section: Average Blermentioning

confidence: 99%

See 2 more Smart Citations

Short packet communication in underlay cognitive network assisted by an intelligent reflecting surface

Duy¹,

Tuan

Huynh

2022

ETRI Journal

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show abstract

“…However, researchers proposed a better PRS scheme, where CSIs of the relay-destination connections are used to choose the relay [24]. In [23][24][25][26][27][28][29], several relay selection methods have been described in CR networks. Especially in [23], the PRS and ORS methods evaluated the overall performance in terms of bit error rate (BER) and outage probability (OP).…”

Section: Introductionmentioning

confidence: 99%

An Optimized Distributed Routing Protocol for Energy Management Systems Based on Wireless Sensor Networks in Intelligent and Smart Structures

Hammad

Mohamed

Abdel-Atty

2022

Int. j. electr. comput. eng. syst. (Online)

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Energy and spectrum efficiency for energy management systems based on wireless sensor networks in intelligent structures and powered by ambient energy harvesting (EH) are the main problems in wireless sensor networks. Herein, we consider relay selection methods. To address this issue, we proposed the optimal multiantenna power beacon opportunistic relay selection (OMPB-ORS) protocol, which uses decoding and forward methods, in which the relay wireless sensor nodes and the second source are energy-restricted and can harvest energy from a power beacon (PB) multiantenna to transmit aggregated information data from source to destination. The proposed protocol based on specific s witching t ime r eceiver a rchitecture e nhances e nd-to-end p erformance f or m aximum h ardware impairments and interference for the transceiver. To evaluate the performance, we compared our proposed protocol with best ORS (B-ORS), conventional ORS (C-ORS), and hybrid partial relay selection (H-PRS) protocols. Using the Rayleigh-fading channel, the simulation is driven based on asymptotic and exact form expressions of throughput (TP) and outage probability (OP). Simulation results show that the OMPB-ORS protocol achieves a higher TP and OP than all compared protocols.

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Multi-constraint two-way underlay cognitive network using reconfigurable intelligent surface

Dao

2022

Wireless Netw

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SIC-Coding Schemes for Underlay Two-Way Relaying Cognitive Networks

Cited by 10 publications

References 40 publications

Short packet communication in underlay cognitive network assisted by an intelligent reflecting surface

Short packet communication in underlay cognitive network assisted by an intelligent reflecting surface

An Optimized Distributed Routing Protocol for Energy Management Systems Based on Wireless Sensor Networks in Intelligent and Smart Structures

Multi-constraint two-way underlay cognitive network using reconfigurable intelligent surface

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