MIMO two-way relaying with transmit CSI at the relay

Hammerstrom, I.; Kühn, Michael; Esli, C.; Zhao, Jian; Wittneben, A.; Bauch, Gerhard

doi:10.1109/spawc.2007.4401421

Cited by 133 publications

(106 citation statements)

References 10 publications

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“…Since the power constraints in (1) and (2) are not related to W 1 and W 2 , we can directly set the gradient of objective function in (6) to zero to get the optimal solutions. Namely,…”

Section: Design Methods 1: Iterative Precoding Designmentioning

confidence: 99%

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Joint Source and Relay Precoding Designs for MIMO Two-Way Relay Systems

Wang

Tao

2011

2011 IEEE International Conference on Communications (ICC)

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Abstract-We investigate the source and relay precoding based on the minimum mean-square-error (MSE) criterion for amplifyand-forward (AF) MIMO two-way relay systems. This joint design problem is a highly nonconvex optimization problem. In this work, we present two efficient design algorithms. The first one aims to minimize the total MSE of the two users by alternatively solving three sub-problems and it is iterative in nature. The second design holds a specific precoder structure, which is able to parallelize channels in both the Multiple Access (MAC) and Broadcast (BC) phases of two-way relaying. Based on such structure, the joint precoding design is simply reduced to the joint source and relay power allocation problem. The efficiency of both proposed algorithms is verified via simulation.

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“…Since the power constraints in (1) and (2) are not related to W 1 and W 2 , we can directly set the gradient of objective function in (6) to zero to get the optimal solutions. Namely,…”

Section: Design Methods 1: Iterative Precoding Designmentioning

confidence: 99%

“…This is known as decode-and-forward (DF) relay strategy. In [2], the authors investigate and compare the capacity gain for two different re-encoding operations in DF based MIMO two-way systems. In [3], the boundary of capacity region of Gaussian MIMO two-way relay broadcast channels is derived.…”

Section: Introductionmentioning

confidence: 99%

Joint Source and Relay Precoding Designs for MIMO Two-Way Relay Systems

Wang

Tao

2011

2011 IEEE International Conference on Communications (ICC)

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“…The procedures presented in this section aim at solving (8) and (10) efficiently by relying on the convex optimization literature [10] [11]. Let first focus on (8).…”

Section: B Solution Of the Problemsmentioning

confidence: 99%

“…Let first focus on (8). It can be turned into a differentiable problem by writing the equivalent epigraph [10] form of the problem: …”

Section: B Solution Of the Problemsmentioning

confidence: 99%

“…A drawback of LR in the single TDD relaying case is that the time-sharing is constrained to 1/ 2 t = , which severely limits the achievable rate. This effect can be alleviated by two-path relaying (when multiple relays are available) or two-way relaying (which applies to bidirectional traffic) for which precoder optimization can also be performed [8].…”

Section: Introductionmentioning

confidence: 99%

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Capacity bounds for Gaussian MIMO relay channel with channel state information

Simoens

Muñoz

Vidal

et al. 2008

2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications

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Abstract-In this paper, source and relay precoders are derived which optimize upper and lower bounds on the Gaussian MIMO relay channel capacity. First, the prior art on the cut-set upperbound on capacity is extended by showing that the optimization of the source and relay codebooks can be formulated as a convex problem without having to introduce a scalar parameter that captures their cross-correlation. Both the Full-Duplex and Time Division Duplex (TDD) relay channels are addressed, assuming perfect knowledge of all channels, and two procedures are proposed which solve the problem efficiently by relying on analytical expressions of gradients, subgradients and projection operators: the first one solves the dual problem while the second one applies the barrier method. Similar techniques are then used to maximize the achievable rate of Decode-and-Forward (DF) TDD MIMO relaying strategies with either partial or full decoding at the relay. Sub-optimum precoders are also proposed which have a closed-form expression that can be obtained from the KKT conditions, thus reducing the computational complexity at the expense of a lower rate. Simulations in a cellular downlink scenario show that the partial DF strategy can achieve a rate very close to capacity for realistic values of the Source to Relay signalto-noise ratio. Finally, the availability of Channel State Information (CSI) in a real system is discussed.

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Superposition network coded cooperation for wireless networks

Fazeli

Omidi

Saeedi-Sourck

et al. 2016

Trans. Emerging Tel. Tech.

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Cooperative diversity is an innovative approach to improve the reliability of communication. Although this technique is considered in the next‐generation mobile communication standards, it has its own challenges in practice. For example, in simultaneous transmission‐based cooperative protocols, perfect synchronisation of nodes is very hard to realise. The traditional time division multiple access method can simplify the synchronisation problems but leads to long transmission delays. In this paper, a low‐delay cooperative strategy is proposed for a network with multiple sources and a single destination, which requires only a simple type of synchronisation. In this technique, we use a combination of superposition coding and network coding; hence the name superposition network coded cooperation. For this strategy, good bounds are obtained for the probability of correct detection for general M‐PSK and M‐QAM modulation and are compared with simulation results. The results demonstrate improvement in error performance compared with other transmission schemes requiring the same transmission time as superposition network coded cooperation. Copyright © 2016 John Wiley & Sons, Ltd.

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MIMO two-way relaying with transmit CSI at the relay

Cited by 133 publications

References 10 publications

Joint Source and Relay Precoding Designs for MIMO Two-Way Relay Systems

Joint Source and Relay Precoding Designs for MIMO Two-Way Relay Systems

Capacity bounds for Gaussian MIMO relay channel with channel state information

Superposition network coded cooperation for wireless networks

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