Efficient Channel Estimation Techniques for Amplify and Forward Relaying Systems

Lioliou, Panagiota; Viberg, Mats; Coldrey, Mikael

doi:10.1109/tcomm.2012.081512.110088a

Cited by 40 publications

(39 citation statements)

References 12 publications

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“…A scaling ambiguity affects the columns of the two estimated channel matrices. In this work, we deal with this ambiguity through normalization 5 [21]. Finally, note that the computational complexity of the PARATUCK multiuser receiver (per iteration) is given by O(MR 3 + MR 2 PNK + P 2 RKM + P 2 RNM).…”

Section: Find An Estimate Ofh (Sr)mentioning

confidence: 99%

“…In practice, this implies transmitting a single pilot (reference) symbol per transmit antenna at the source node, which is known at the base station receiver. The scaling ambiguities 1 and 3 also compensate each other and can be eliminated by normalizing one column of H (rd) (or one row ofH (sr) ), as mentioned in [10,21].…”

Section: Identifiability and Uniquenessmentioning

confidence: 99%

“…In Fig. 6, we compare the performance of proposed tensor-based receivers with a two-stage training (TST) method developed in [22] and a singular value decomposition (SVD)-based LS scheme proposed recently in [21]. For both TST and SVD-based LS solutions, a ZF receiver is used to estimate source symbols based on the estimated channels.…”

Section: Simulationsmentioning

confidence: 99%

“…This leads to a higher BER level. The SVD-based LS receiver of [21] also estimates the symbol and channel separately in two stages. Note that the proposed receivers outperform the SVD-based LS receiver.…”

Section: Simulationsmentioning

confidence: 99%

See 3 more Smart Citations

Multiuser Receiver for Joint Symbol/Channel Estimation in Dual-Hop Relaying Systems

Han

Almeida

2015

Wireless Pers Commun

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We consider the uplink of a multiuser cooperative dual-hop communication system, where users transmit signals towards a base station with the help of multiple relays. The base station is equipped with an antenna array, while each user and relay are singleantenna devices simultaneously accessing the channel using non-orthogonal codes. For this communication scenario, we propose a novel multiuser receiver for joint symbol and channel estimation by capitalizing on a tensor modeling of the end-to-end system. The proposed multiuser receiver allows the base station to jointly estimate users' transmitted symbols and the channels involved in the dual-hop communication. Identifiability conditions of the proposed receiver are provided along with their practical implications to system design. Simulation results corroborate the effectiveness of our multiuser receiver in terms of channel estimation accuracy and bit-error-rate.

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Section: Find An Estimate Ofh (Sr)mentioning

confidence: 99%

Section: Identifiability and Uniquenessmentioning

confidence: 99%

Section: Simulationsmentioning

confidence: 99%

Section: Simulationsmentioning

confidence: 99%

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Multiuser Receiver for Joint Symbol/Channel Estimation in Dual-Hop Relaying Systems

Han

Almeida

2015

Wireless Pers Commun

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“…Thus, the proposed channel estimation scheme has a higher spectral efficiency than those of [10,14]. (2) To fit the PARAFAC model, we propose a new BALS (NBALS) algorithm.…”

Section: Introductionmentioning

confidence: 99%

Low complexity PARAFAC‐based channel estimation for non‐regenerative MIMO relay systems

Yuan

Zhang

2014

IET Communications

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In this study, the authors present a novel channel estimation scheme for a two-hop non-regenerative multiple-input multiple-output relay system. The proposed scheme has two stages. In the first stage, the source node transmits channel training sequence to the relay node. The relay node amplifies the received signal and forwards it to the destination node. During the second stage, the relay node amplifies the pre-received signal with another amplification matrix, and forwards it to the destination node. Based on the proposed scheme, by using parallel factor (PARAFAC) analysis, they further propose a low complexity channel estimation algorithm, where full knowledge of all channel matrices involved in the communication can be estimated at the destination node. Compared with existing algorithms, the proposed algorithm yields smaller channel estimation error with lower complexity. Numerical examples are shown to demonstrate the effectiveness of the low complexity PARAFAC-based channel estimation algorithm.

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Energy Harvesting for Wireless Relaying Systems

Chen

2017

Wireless Information and Power Transfer: A New Paradigm for Green Communications

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Efficient Channel Estimation Techniques for Amplify and Forward Relaying Systems

Cited by 40 publications

References 12 publications

Multiuser Receiver for Joint Symbol/Channel Estimation in Dual-Hop Relaying Systems

Multiuser Receiver for Joint Symbol/Channel Estimation in Dual-Hop Relaying Systems

Low complexity PARAFAC‐based channel estimation for non‐regenerative MIMO relay systems

Energy Harvesting for Wireless Relaying Systems

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