Physical-Layer Network Coding in Coded OFDM Systems with Multiple-Antenna Relay

Wu, Meng; Wübben, Dirk; Dekorsy, Armin

doi:10.1109/vtcspring.2013.6692712

Cited by 8 publications

(7 citation statements)

References 12 publications

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“…In a TWRC‐based PLNC system, after MA mode, the relay extracts the network coded signal

{boldX}_{R}^{i}

from received

{boldY}_{R}^{i}

and broadcasts it during the BC mode. Therefore, the received signal in each virtual end node will be equal to

{boldY}_{scriptD}^{i} = {boldP}_{R}^{i} {boldH}_{scriptD}^{i} {boldX}_{R}^{i} + {boldn}_{scriptD}^{i}, i = 1, 2, ⋯, N, scriptD \in false{A, B false},

where

{boldn}_{scriptD}^{i}

in is the downlink additive white Gaussian noise with zero mean and standard deviation of

σ_{scriptD}^{i}

and

{boldP}_{R}^{i}

is the diagonal relay power matrix dedicated to the i th subcarrier.

{boldH}_{scriptD}^{i}

can be represented using singular value decomposition as in

{boldH}_{scriptD}^{i} = {boldU}_{scriptD}^{i} {boldΛ}_{scriptD}^{i} {boldV}_{scriptD}^{i}^{H}, i = 1, 2, ⋯, N, scriptD \in false{A, B false},

where

{boldU}_{scriptD}^{i}

and

{boldV}_{scriptD}^{i}

are unitary matrices and

{boldΛ}_{scriptD}^{i}

is a diagonal matrix with entries equal to eigenvalues of the matrix

…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

“…Previous studies investigated OFDM‐based CRNs where the network also benefits from network coding. Orthogonal frequency division multiplexing with PLNC also renders a powerful combination to cope with nonflat fading channels as well as symbol offset problems . The combination of MIMO, OFDM, and PLNC is an effective collection that is considered in Gacanin and Adachi .…”

Section: Introductionmentioning

confidence: 97%

“…Orthogonal frequency division multiplexing with PLNC also renders a powerful combination to cope with nonflat fading channels as well as symbol offset problems. [35][36][37][38] The combination of MIMO, OFDM, and PLNC is an effective collection that is considered in Gacanin and Adachi. 39 This paper investigates various detection methods in a TWRC structure with 2 single antenna end nodes and a multiantenna relay node.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Achieving maximum bit rate in a cognitive radio network with physical layer network coding

Khosroazad

Abedi

Neda

2018

Int J Communication

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Summary In this paper, the power allocation problem in a relay‐assisted cognitive radio network (CRN) is considered where the secondary users exchange information in an interweave mode on the basis of physical layer network coding. In order to enhance the capacity of CRN, using multiple‐input multiple‐output and orthogonal frequency division multiplexing has become very popular in the literature. This paper goes one step further to improve the throughput of secondary users using physical layer network coding by drawing off the transmission time. The main goal is to maximize the capacity of CRN, while keeping the total interference imposed on the primary users under a certain threshold. An optimal solution to this power allocation problem with limited relay power constraint, due to the limited budget, is derived; however, because of the high complexity of this method, an efficient suboptimal solution is also proposed.

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“…In a TWRC‐based PLNC system, after MA mode, the relay extracts the network coded signal

{boldX}_{R}^{i}

from received

{boldY}_{R}^{i}

and broadcasts it during the BC mode. Therefore, the received signal in each virtual end node will be equal to

{boldY}_{scriptD}^{i} = {boldP}_{R}^{i} {boldH}_{scriptD}^{i} {boldX}_{R}^{i} + {boldn}_{scriptD}^{i}, i = 1, 2, ⋯, N, scriptD \in false{A, B false},

where

{boldn}_{scriptD}^{i}

in is the downlink additive white Gaussian noise with zero mean and standard deviation of

σ_{scriptD}^{i}

and

{boldP}_{R}^{i}

is the diagonal relay power matrix dedicated to the i th subcarrier.

{boldH}_{scriptD}^{i}

can be represented using singular value decomposition as in

{boldH}_{scriptD}^{i} = {boldU}_{scriptD}^{i} {boldΛ}_{scriptD}^{i} {boldV}_{scriptD}^{i}^{H}, i = 1, 2, ⋯, N, scriptD \in false{A, B false},

where

{boldU}_{scriptD}^{i}

and

{boldV}_{scriptD}^{i}

are unitary matrices and

{boldΛ}_{scriptD}^{i}

is a diagonal matrix with entries equal to eigenvalues of the matrix

…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Achieving maximum bit rate in a cognitive radio network with physical layer network coding

Khosroazad

Abedi

Neda

2018

Int J Communication

View full text Add to dashboard Cite

show abstract

“…Recentemente, alguns esquemas PNC foram propostos para sistemas OFDM [7], [8], [9]. O primeiro trabalho que mostra resultados práticos de implementação da técnica de PNC com sistemas OFDM foi o de Lu et al [7].…”

Section: Pnc Em Sistemas Ofdmunclassified

Codificação de Rede na Camada Física via Reticulados para Sistemas OFDM

Silva¹,

Ruyet²,

Silva³

et al. 2015

Anais De XXXIII Simpósio Brasileiro De Telecomunicações

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Resumo-Este trabalho apresenta uma estratégia de codificação de rede na camada física (PNC) que estende a técnica computa-e-encaminha baseada em reticulados aninhados de Nazer e Gastpar para sistemas OFDM. A abordagem algébrica de Feng, Silva e Kschischang, para o caso particular da modulação BPSK,é seguida. Cada usuário codifica sua mensagem e espalha a palavra-código no quadro OFDM. Os usuários transmitem simultaneamente, e o relay decodifica uma combinação linear das mensagens via decodificação de reticulados. Resultados numéricos mostram um bom desempenho da estratégia em uma rede bidirecional com relay. Palavras-Chave-Codificação de rede na camada física (PNC), reticulados aninhados, canais seletivos em frequência, OFDM.

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“…The concept of physical layer network coding (PLNC) was introduced in Zhang et al, 1 which stimulated several research papers in this area, where, for example, some of them investigate code detection issues, [2][3][4][5] some issues related to synchronization analysis, 6 and some provide channel estimation methods in PLNC systems. [7][8][9][10] The basic idea of PLNC challenges the traditional treatment of interference in wireless networks as a destructive phenomenon, by utilizing the interference to increase the throughput.…”

Section: Introductionmentioning

confidence: 99%

On scalability of physical layer network coding with modulo‐sum mapping overN‐way relay channels

Khosroazad

Abedi

Neda

2018

Int J Communication

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Summary In this manuscript, fundamental limits of physical layer network coding with modulo‐sum mapping (to avoid of large cardinality), in terms of the number of superimposed signals that still render an acceptable probability of error, are studied. It is expected that (1) for a given bit error rate or throughput, an upper bound on the number of superimposed signals may exist and (2) if a large network is considered as a set of small subnetworks, and the proposed network code is used in each subnetwork, a significant increase in network throughput can be achieved. Answering these questions sheds light on the scalability of multiuser physical layer network coding with bit error rate or throughput constraints. Theoretical calculations, as well as simulation results, indicate the extraction of network coded signal from more than 2 (which is special case known as 2‐way relay channel) superimposed signals can be practical and lucrative.

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Physical-Layer Network Coding in Coded OFDM Systems with Multiple-Antenna Relay

Cited by 8 publications

References 12 publications

Achieving maximum bit rate in a cognitive radio network with physical layer network coding

Achieving maximum bit rate in a cognitive radio network with physical layer network coding

Codificação de Rede na Camada Física via Reticulados para Sistemas OFDM

On scalability of physical layer network coding with modulo‐sum mapping overN‐way relay channels

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