Superimposed Training Based Channel Estimation for OFDM Modulated Amplify-and-Forward Relay Networks

Gao, Feifei; Jiang, Bin; Gao, Xiqi; Zhang, Xian-Da

doi:10.1109/tcomm.2011.051711.100431

Cited by 73 publications

(80 citation statements)

References 19 publications

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“…This assumption has been widely used in the existing literature such as [9]- [11], [15], [17], [18]. In some communication scenarios, these silent nodes can be active to send artificial noise to enhance the system security, at the cost of more implementation complexity.…”

Section: System Modelmentioning

confidence: 99%

“…where the approximation sign in (32) comes from the assumption of large transmit power which was previously used in (15).…”

Section: Secrecy Outage Probabilitymentioning

confidence: 99%

“…2 All nodes in the network are equipped with a single antenna due to size limitation, and they operate in a half-duplex mode. In this work, we assume the error-free channel estimation, where the estimation method can be found the literature such as [15]- [17], [36], [37].…”

mentioning

confidence: 99%

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Secure Multiuser Communications in Multiple Amplify-and-Forward Relay Networks

Fan

Lei

Duong

et al. 2014

IEEE Trans. Commun.

126

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Abstract-This paper proposes relay selection to increase the physical layer security in multiuser cooperative relay networks with multiple amplify-and-forward relays, in the presence of multiple eavesdroppers. To strengthen the network security against eavesdropping attack, we present three criteria to select the best relay and user pair. Specifically, criteria I and II study the received signal-to-noise ratio (SNR) at the receivers, and perform the selection by maximizing the SNR ratio of the user to the eavesdroppers. To this end, criterion I relies on both the main and eavesdropper links, while criterion II relies on the main links only. Criterion III is the standard max-min selection criterion, which maximizes the minimum of the dual-hop channel gains of main links. For the three selection criteria, we examine the system secrecy performance by deriving the analytical expressions for the secrecy outage probability. We also derive the asymptotic analysis for the secrecy outage probability with high main-to-eavesdropper ratio. From the asymptotic analysis, an interesting observation is reached: for each criterion, the system diversity order is equivalent to the number of relays regardless of the number of users and eavesdroppers.Index Terms-Multiuser communications, multi-relay cooperative networks, multiple eavesdroppers, physical layer security, secrecy outage probability.

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Section: System Modelmentioning

confidence: 99%

“…where the approximation sign in (32) comes from the assumption of large transmit power which was previously used in (15).…”

Section: Secrecy Outage Probabilitymentioning

confidence: 99%

See 1 more Smart Citation

Secure Multiuser Communications in Multiple Amplify-and-Forward Relay Networks

Fan

Lei

Duong

et al. 2014

IEEE Trans. Commun.

126

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“…For orthogonal frequency division multiplexing (OFDM)-modulated AF relay networks, the authors of [11] proposed a two-phase training prototype, where the relay superimposes its own training to the received training signal such that separated channels can be estimated at the destination, from which optimal training as well as optimal power allocation factor between R and S are derived based on Bayesian CramerRao bound.…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies in AF relay systems [8][9][10][11] mainly focused on the block-fading or slow-fading scenarios (e.g., the normalized Doppler spread over one OFDM block is less than 0.1). However, for practical broadband relay networks where the source and the relay can all be moving nodes, e.g., mobile terminals in moving cars or highspeed trains.…”

Section: Introductionmentioning

confidence: 99%

Doubly selective channel estimation for OFDM modulated amplify-and-forward relay networks using superimposed training

Zhang

Leung

Gao

et al. 2012

J Wireless Com Network

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This article is concerned with the problem of superimposed training (ST)-aided channel estimation for orthogonal frequency division multiplexingmodulated amplify-and-forwardrelay networks in doubly selective environment. A 'subblockwise' linear assumption-based channel model is proposed to represent the mobile-to-mobile time-and frequency-selective channels. We then propose a novel ST strategy that allows the destination node to separately obtain the channel information of the source ! relay link and the relay ! destination link, from which the optimal ST signals are derived by minimizing the channel mean-square-error. To enhance the performance of channel estimation, a subblock tracking-based low-complexity decision feedback approach is introduced to iteratively mitigate the unknown data interference. Finally, extensive numerical results are provided to corroborate the proposed studies.

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Two‐pilot channel estimation scheme for amplify‐and‐forward relay networks

Zhang

Ren

2012

Int J Communication

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In amplify-and-forward relay networks, the equivalent channel to the destination node is not independent of equivalent noise and the equivalent noise does not follow a Gaussian distribution. Therefore, it is difficult to directly estimate the equivalent channel based on traditional optimal rules. In this paper, we propose a two-pilot estimation (TPE) scheme that decomposes a non-Gaussian noise channel estimation problem into two channel estimation problems in Gaussian noise. In TPE scheme, the relay-destination channel is first estimated by one pilot and the other pilot is used to estimate the equivalent channel with the aid of the estimated relay-destination channel. Simulation results show that the TPE scheme can achieve less estimation error and larger system throughput than other existing channel estimators in slow fading case.Analyze the actual required referential information for optimal detector; Propose a two-pilot-based channel estimation scheme to meet the requirement; Derive the optimal pilot design and power allocation problem. SYSTEM MODELWe consider a wireless network with N randomly placed relay nodes one source node S, and a destination node D like Figure 1. Each node is equipped with only a single antenna and runs with the half-duplex mode. The channels between any two nodes are modeled as quasi-stationary Rayleigh flat fading, which varies from frame to frame. Denote the channel from source to It can be seen that the estimation error of H depends on Var ¹E G º. Thus, we should seek the optimal pilots and optimal power strategy to minimize the upper-bounded estimation error.

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Superimposed Training Based Channel Estimation for OFDM Modulated Amplify-and-Forward Relay Networks

Cited by 73 publications

References 19 publications

Secure Multiuser Communications in Multiple Amplify-and-Forward Relay Networks

Secure Multiuser Communications in Multiple Amplify-and-Forward Relay Networks

Doubly selective channel estimation for OFDM modulated amplify-and-forward relay networks using superimposed training

Two‐pilot channel estimation scheme for amplify‐and‐forward relay networks

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