Impact of Imperfect Source-to-Relay CSI in Amplify-and-Forward Relay Networks

Lin, Jia-Chin; Chang, Han-Kui; Ku, Meng‐Lin; Poor, H. Vincent

doi:10.1109/tvt.2016.2622723

Cited by 11 publications

(9 citation statements)

References 34 publications

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“…This means that ỹ1 and ỹ2 have the same pdfs given h SR . Therefore, a simple uniform quantization [10], [15] with the same step size of ∆ is applied to both ỹ1 and ỹ2 . Given ∆, the endpoints of the uniform quantization for the positive half part is…”

Section: B Quantization Methods At Realymentioning

confidence: 99%

“…However, the DF relaying requires decoding and reencoding processes at the relay, which increases the burden on the relay and makes the DF unsuitable for resource-limited relays. The AF relaying does not require these complicated processes, and only requires amplification and retransmission of noisy symbols [3], [8]- [10]. Since half-duplex relays could not receive and transmit at the same time, the amplified received signal could not be immediately forwarded to the destination and must be quantized and stored in memory before retransmission [11]- [14].…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, the AQF relay channel with the uniform scale quantization [10], [15] at the relay is addressed for the quadrature amplitude modulation (QAM). In the uniform quantization, the step size is usually given by the ratio of VOLUME 4, 2016 the difference between the maximum and minimum values of the input signal and the number of quantization levels [15].…”

Section: Introductionmentioning

confidence: 99%

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Amplify–Quantize–Forward Relay Channel With Quadrature Amplitude Modulation

Jin

2022

IEEE Access

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This paper considers an amplify-quantize-forward (AQF) relay channel with M -ary quadrature amplitude modulation, where the relay implements amplification for the received signal and a uniform quantization for each of real and imaginary parts of the amplified version. Two step-size determinant methods for the uniform quantization affected by the power constraint at the relay are proposed by deriving the power and the mean square error for the quantized signal. Given the step size for the quantization, the maximum-likelihood detection is presented, and a linear combining detection called equivalent maximum ratio combining is proposed to reduce the detection complexity in the AQF relay channel. The simulation results confirm the superiority of the proposed quantization methods and detection algorithms.

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Section: B Quantization Methods At Realymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Amplify–Quantize–Forward Relay Channel With Quadrature Amplitude Modulation

Jin

2022

IEEE Access

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“…However, the theoretical analysis in [16], [17] is based on the maximum achievable rate (Shannon capacity) rather than the systems' goodput, i.e., the outage probability of packet transmission is not involved. In [18], a theoretical analysis of the lower and upper bounds of signal-to-noise (SNR) was provided, where the imperfect source-to-relay CSI is considered. The bit error rate (BER) and outage performances were investigated in [19], [20] for amplify-andforward relay systems.…”

Section: Introductionmentioning

confidence: 99%

On Maximum of Energy-Efficiency in Amplify-and-Forward Relay Networks Under Channel Estimation Errors

Liu

et al. 2019

IEEE Access

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In this paper, we investigate the energy-efficiency for amplify-and-forward relay networks in the presence of channel estimation errors. Two kinds of transmission strategies, i.e., direct transmission (DT) and relay transmission (RT), are dealt with for the energy-efficient communication system design. The energy cost function in DT or RT is defined as the total energy consumption for transmitting one bit data successfully, in which the channel estimation error, the channel estimation cost (i.e., energy consumed for pilot transmission) and the outage probability are included. As the power allocation plays a crucial role in implementing relay networks in an energy-efficient manner, we propose a theoretical framework for energyefficient power allocation in DT and RT strategies to minimize the energy cost. By simulation, we compare the two transmission strategies according to the energy cost under various network scenarios. Our results provide several insights into the choice between DT and RT strategies if some transmission parameters are known.INDEX TERMS Amplify-and-forward, channel estimation, energy consumption, energy-efficient power allocation, relay network.

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“…The Amplify-and-Forward (AF) Orthogonal Frequency Division Multiplexing (OFDM)-based cooperative system has been attractive recently, due to its ability to provide broader coverage and increased reliability [1][2][3][4][5]. However, the AF relaying link is concatenated by dual-hop (multihop) channels, which are distinct from the point-to-point transmission link.…”

Section: Introductionmentioning

confidence: 99%

Channel Estimation for OFDM-Based Amplify-and-Forward Cooperative System Using Relay-Superimposed Pilots

Gao

2018

International Journal of Digital Multimedia Broadcasting

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For the OFDM-based Amplify-and-Forward cooperative system, a novel relay-superimposed pilot strategy is proposed, where the source pilot symbols are frequency division multiplexed to estimate the cascaded channel while relay pilot sequence is superimposed onto the top of the cooperative data stream for second-hop channel estimation. This method avoids the loss of data rate for additional pilot subcarriers but results in the interference of unknown cooperative data. To remove the interference of cooperative data during the estimation of second-hop channel, the Cooperative Interference Cancelation scheme assisted by cooperative data from direct link is proposed. We derive the approximated lower bound for the MSE of second-hop channel estimation. Simulation results are presented to validate the performance of the proposed schemes.

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Impact of Imperfect Source-to-Relay CSI in Amplify-and-Forward Relay Networks

Cited by 11 publications

References 34 publications

Amplify–Quantize–Forward Relay Channel With Quadrature Amplitude Modulation

Amplify–Quantize–Forward Relay Channel With Quadrature Amplitude Modulation

On Maximum of Energy-Efficiency in Amplify-and-Forward Relay Networks Under Channel Estimation Errors

Channel Estimation for OFDM-Based Amplify-and-Forward Cooperative System Using Relay-Superimposed Pilots

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