Linear Transceiver Design in Nonregenerative Relays With Channel State Information

Muñoz, Olga; Vidal, Josep; Agustín, Adrián

doi:10.1109/tsp.2006.890913

Cited by 410 publications

(296 citation statements)

References 12 publications

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“…We also assume that the number of antennas at each node is , = 1, ⋅ ⋅ ⋅ , + 1, and the number of source symbols in each transmission is . Like [5], [6], [11]- [14], a linear nonregenerative relay matrix is used at each relay. The system block diagram is shown in Fig.…”

Section: System Modelmentioning

confidence: 99%

Optimality of diagonalization of multi-hop MIMO relays

Rong

Hua

2009

IEEE Trans. Wireless Commun.

113

167

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Abstract-For a two-hop linear non-regenerative multipleinput multiple-output (MIMO) relay system where the direct link between source and destination is negligible, the optimal design of the source and relay matrices has been recently established for a broad class of objective functions. The optimal source and relay matrices jointly diagonalize the MIMO relay system into a set of parallel scalar channels. In this paper, we show that this diagonalization is also optimal for a multihop MIMO relay system with any number of hops, which is a further generalization of several previously established results. Specifically, for Schur-concave objective functions, the optimal source precoding matrix, the optimal relay amplifying matrices and the optimal receiving matrix jointly diagonalize the multihop MIMO relay channel. And for Schur-convex objectives, such joint diagonalization along with a rotation of the source precoding matrix is also shown to be optimal. We also analyze the system performance when each node has the same transmission power budget and the same asymptotically large number of antennas. The asymptotic analysis shows a good agreement with numerical results under a finite number of antennas.Index Terms-MIMO relay network, multi-hop relay, linear non-regenerative relay, majorization.

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Section: System Modelmentioning

confidence: 99%

Optimality of diagonalization of multi-hop MIMO relays

Rong

Hua

2009

IEEE Trans. Wireless Commun.

113

167

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“…In fact, relaying is one of the key features of the LTE-advanced standard [4], [5]. Recently, multiple-input multiple-output (MIMO) relay networks have attracted a lot of interest due to their ability to significantly increase the spectral efficiency and reliability [6], [7]. The joint design of source and relay precoders has been extensively considered in the literature [7]- [14].…”

Section: Introductionmentioning

confidence: 99%

“…Recently, multiple-input multiple-output (MIMO) relay networks have attracted a lot of interest due to their ability to significantly increase the spectral efficiency and reliability [6], [7]. The joint design of source and relay precoders has been extensively considered in the literature [7]- [14]. Different criteria, such as mutual information [7], [8] and mean square error (MSE) [11], were considered for the optimization of the source and relay precoders.…”

Section: Introductionmentioning

confidence: 99%

Joint Source-Relay Optimization for Fixed Receivers in Multi-Antenna Multi-Relay Networks

Ikhlef

Schober

2014

IEEE Trans. Wireless Commun.

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Additional information: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. Abstract-We jointly optimize the source and relay precoders for multi-antenna multi-relay networks employing a prefixed receiver. Prefixed receivers are of practical interest since they enable low complexity at the end-user's receiver as well as backward compatibility. To compute the source and relay precoders, we consider two different criteria. The objective of the first criterion is to maximize the worst stream signal-to-interference-plusnoise ratio (SINR) at the output of the receiver subject to source and relay transmit power constraints. Under the second criterion, we minimize the source and relay transmit powers subject to a certain quality-of-service constraint. Both optimization problems are non-convex. To solve them, we propose iterative alternating algorithms, where, in each iteration, we compute the precoders alternately, i.e., for each precoder optimization, we fix all the precoders except the one which is optimized. For both criteria, we formulate the optimization problem for the computation of the source precoder as a second order cone programming (SOCP) problem, for which the optimal solution can be found using interior point algorithms. For each relay precoder, we formulate the optimization problem as a semidefinite relaxation (SDR) problem for which ready-to-use solvers exist. If the solution to the SDR problem is not of rank one, matrix rankone decomposition or randomization is applied. We also provide sufficient conditions for the convergence of the proposed iterative alternating algorithms to a fixed point. Simulation results show that the performance of the proposed algorithms is close to the performance achieved if the source, relay, and receiver filters are jointly optimized.Index Terms-Cooperative relaying, multiple-input multipleoutput, joint optimization of source and relays, prefixed receivers.

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“…A relay precoding algorithm [4] and [5] for AF based multiple-input multiple-output (AF MIMO) relay has been developed to maximize the capacity of the source-destination link. In this algorithm, a precoding matrix is multiplied with the received signal at the relay for further signal processing.…”

Section: Introductionmentioning

confidence: 99%

“…Since the transmitted signal from the relay is Gy 1 = GH 1 x + Gn 1 , the power constraint on the relay can be expressed as [4] …”

Section: Introductionmentioning

confidence: 99%

Channel covariance information based transceiver design for AF MIMO relay systems with direct link

Gopal

Rong

Zang

2012

2012 18th Asia-Pacific Conference on Communications (APCC)

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Abstract-In this paper, we propose a design scheme for amplify-and-forward multiple-input multiple-output (AF MIMO) relay system with direct link to minimize the mean-squared error (MSE) of the signal estimation at the destination. In the proposed design scheme, an optimal precoding matrix is derived with the assumption that the full channel state information (CSI) of the source-relay link and partial channel state information such as channel covariance information (CCI) of the relay-destination link are available at the relay. In practical cases, if the destination is closer to the source, the source-destination link cannot be ignored. Hence, in this paper, we assume that the relay knows the partial channel state information of the source-destination link. Based on this assumption, an iterative optimal covariance algorithm is developed to achieve the minimum MSE of the signal estimation at the destination. In order to reduce computational complexity of the proposed optimal covariance algorithm, a suboptimal covariance algorithm is proposed. A numerical example shows that the developed optimal covariance algorithm outperforms the conventional CCI based MSE algorithms.

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Linear Transceiver Design in Nonregenerative Relays With Channel State Information

Cited by 410 publications

References 12 publications

Optimality of diagonalization of multi-hop MIMO relays

Optimality of diagonalization of multi-hop MIMO relays

Joint Source-Relay Optimization for Fixed Receivers in Multi-Antenna Multi-Relay Networks

Channel covariance information based transceiver design for AF MIMO relay systems with direct link

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