Random DS/CDMA for the amplify and forward relay channel

Gregoratti, David; Mestre, Xavier

doi:10.1109/twc.2009.080314

Cited by 18 publications

(38 citation statements)

References 22 publications

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“…Each MS and RS uses a unique length-P code sequence. Random coding is used, meaning that each MS and/or RS transmission uses a randomly generated code sequence that is known at the base station, as adopted in [15]. Although the use of non-orthogonal codes introduces interference in both hops, there are no constraints on the code design and system reconfiguration as opposed to the orthogonal case.…”

Section: System Modelmentioning

confidence: 99%

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: System Modelmentioning

confidence: 99%

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

Han

Almeida

2015

Wireless Pers Commun

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“…In this section, the signal model will be presented and the spectral efficiency derived in [12] for the LMMSE receiver will be reviewed. As usual, italic, bold lower-case and bold upper-case letters denote, respectively, scalars, vectors and …”

Section: Asymptotic Spectral Efficiencymentioning

confidence: 99%

“…Under the hypothesis of perfect channel knowledge at the receiver D, the instantaneous spectral efficiency is computed in [12]. This is a random quantity since it depends on the specific realization of the spreading matrix C. It was also shown in [12] that randomness can be removed when letting the matrix dimensions K and N grow without bound but with constant ratio α = K/N . The resulting asymptotic, almost sure spectral efficiency is given by…”

Section: B Spectral Efficiencymentioning

confidence: 99%

“…The general multi-relay system was first studied in [12], where the spectral efficiency was computed for both the optimal maximum likelihood receiver and the linear minimum mean square error (LMMSE) filter. In that paper it was also shown that asymptotic (K, N growing without bound) equivalents for the spectral efficiencies can be computed which do not depend on the particular instance of the random spreading matrices but only on the finite ratio α = K/N .…”

Section: Introductionmentioning

confidence: 99%

“…In what follows, we will depart from the instantaneous spectral efficiency derived in [12] for the LMMSE receiver (particularized to the one-relay case) and we will use this expression in order to compute the outage probability of the complete system. It will be shown that the resulting diversity order depends on the value of the coefficient α.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Diversity Analysis of a Randomized Distributed Space-Time Coding in an Amplify and Forward Relay Channel

Gregoratti

Mestre

2009

2009 IEEE International Conference on Communications

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This paper considers a cooperative communications system where a single relay aids a point-to-point transmission using an amplify and forward configuration. The relay linearly encodes the K received symbols into N new ones by means of a matrix multiplication, and the destination employs a LMMSE filter to estimate the information originally transmitted. A large-SNR approximation of the outage probability P out is derived for this system. The analysis of P out shows that the diversity order of the system depends on the ratio K/N : if such a ratio is too high (the relay excessively compresses the information), no diversity is added by introducing the relay. Conversely, if this ratio is smaller than a certain quantity, diversity order 2 is ensured. The derived expressions are finally used to establish the diversity-multiplexing tradeoff of the system.

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Random Matrix Methods for Wireless Communications

Couillet¹,

Debbah

2011

830

809

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Blending theoretical results with practical applications, this book provides an introduction to random matrix theory and shows how it can be used to tackle a variety of problems in wireless communications. The Stieltjes transform method, free probability theory, combinatoric approaches, deterministic equivalents, and spectral analysis methods for statistical inference are all covered from a unique engineering perspective. Detailed mathematical derivations are presented throughout, with thorough explanations of the key results and all fundamental lemmas required for the readers to derive similar calculus on their own. These core theoretical concepts are then applied to a wide range of real-world problems in signal processing and wireless communications, including performance analysis of CDMA, MIMO, and multi-cell networks, as well as signal detection and estimation in cognitive radio networks. The rigorous yet intuitive style helps demonstrate to students and researchers alike how to choose the correct approach for obtaining mathematically accurate results.

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Random DS/CDMA for the amplify and forward relay channel

Cited by 18 publications

References 22 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

Diversity Analysis of a Randomized Distributed Space-Time Coding in an Amplify and Forward Relay Channel

Random Matrix Methods for Wireless Communications

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