Performance limits of amplify-and-forward based fading relay channels

Nabar, R.U.; Kneubuhler, F.W.; Bölcskei, Helmut

doi:10.1109/icassp.2004.1326889

Cited by 54 publications

(31 citation statements)

References 22 publications

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“…These above protocols are inspired by the observation [5], [17], [26] and cooperation [5], [6], [28] schemes, respectively, but we limit the complexity of our protocols for ease of implementation. Our analysis suggests that cooperating radios may also employ threshold tests on the measured channel quality between them, to obtain adaptive protocols, called selection relaying, that choose the strategy with best performance.…”

Section: Resultsmentioning

confidence: 99%

Co-operative Amplify and Forward Relaying Strategy for Mobile Adhoc Network for Efficient Communication

Dethe¹,

Ghule²,

Prakash³

2017

International Journal of Innovative Research in Electrical, Ele

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For enhancing the BER performance of a wireless network by reducing the effects of fading, transmit diversity is an effective way [1]. Due to size, hardware and cost constraints, majority of the wireless devices (i.e. mobile handsets, etc) are limited to only one antenna. Co-operative communication can be used and incorporated to achieve the transmit diversity by utilizing single antenna wireless devices to share their antennas during session. Such an arrangement creates a virtual MIMO (multiple-input and multiple-output) system [2] [3]. In this paper, we will discuss about the cooperative communications and analyze the performance of amplify and forward protocol for single relay model in idealistic condition which gives way forward to tackle the challenges in Spectrum allocation, Improvement of channel capacity, Extension of range, energy efficient Communications etc.

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Section: Resultsmentioning

confidence: 99%

Co-operative Amplify and Forward Relaying Strategy for Mobile Adhoc Network for Efficient Communication

Dethe¹,

Ghule²,

Prakash³

2017

International Journal of Innovative Research in Electrical, Ele

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“…Among various strategies, a simple and efficient strategy is the one that used in slotted amplify-and-forward (SAF) protocol [19]. Another well-known AF protocol is non-orthogonal amplify-and-forward (NAF) protocol [3], [17], which can be seen as a special case of SAF. Obviously, these scheduling strategies in AF protocols can also be transplanted to DF protocols.…”

Section: Introductionmentioning

confidence: 99%

Throughput-reliability tradeoff in decode-and-forward cooperative relay channels: A network information theory approach

Chen

2009

J. Commun. Netw.

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Abstract-Cooperative transmission protocols are always designed to reach the largest diversity gain and the largest network capacity simultaneously. The concept of diversity-multiplexing tradeoff (DMT) in MIMO systems put forward by Zheng and Tse has been extended to this field. However, the concept of multiplexing gain in DMT constrains a better understanding of the asymptotic interplay between transmission rate, frame error probability (FEP) and signal-to-noise ratio (SNR), and also fails to predict FEP curves accurately. Two improved methods are then put forward. One is by Narasimhan who proposes finite-SNR diversity-multiplexing gain tradeoff which gives a tighter lower bound of the FEP curves by applying nonlinear programming in MIMO systems, and the other is by Azarian and Gamal who propose a new rule called the throughput-reliability tradeoff (TRT) which avoids the limitation of the conception of multiplexing and elucidates the linearly asymptotic trends exhibited by the FEP curves in block-fading MIMO channels. The finite-SNR diversity-multiplexing gain tradeoff has already been applied to cooperative relay channels. However, this method is time-consuming in computation since nonlinear programming is used, especially in large networks. In this paper, we will use TRT rule to give the relationship between transmission rate, FEP and SNR in decode-and-forward (DF) cooperative protocols. We also exhibit the FEP curves predicted by TRT. To do this, We first propose a symbol based slotted decode-and-forward (SSDF) protocol as the infrastructure. Network information theory is also used to bound the capacity of the protocol.

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“…The choice of relay function is especially important as it directly affects the potential capacity benefits of node cooperation [1][2][3][4][5]. In this regard, two relaying methods, amplify-forward (AF) [6,7] and estimate-forward [8,9], are extensively addressed in the literature. As the names imply, the former just amplifies the received signal but the latter estimates the signal with errors and then forwards it to the destination.…”

Section: Introductionmentioning

confidence: 99%

Amplify-forward relaying for multiple-antenna multiple relay networks under individual power constraint at each relay

Izi

Falahati

2012

J Wireless Com Network

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This article considers the design of an optimal beamforming weight matrix of multiple-antenna multiple-relay networks. It is assumed that each relay utilizes the amplify and forward strategy, i.e., it multiplies the received signal vector by a matrix, dubbed the relay weight matrix, and forwards the resulting vector to the destination. Furthermore, we assume that the source and the destination have the same number of antennas and that each transmit antenna is virtually paired to a different destination antenna. The relay weight matrices are concurrently designed to optimize the mean square error (MSE) criterion at the destination, assuming each relay node is subject to a power constraint. Accordingly, it is demonstrated that this problem can be cast as a convex optimization problem in which the individual power constraints are tackled by employing the method of Lagrange multipliers in two stages. First, the relay gain matrix is computed analytically in terms of Lagrange dual variables, thereby converting the original problem into a scalar optimization problem. Then, these scalar variables are computed numerically. The proposed scheme is evaluated through simulation with various numbers of relays and antennas to obtain MSE and bit error rate (BER) metrics and it is shown that the resulting MSE and BER achieved through using the proposed method outperforms that of MMSE-MMSE method introduced by Oyman et.al., which is regarded as the best known method for the underlying problem.

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Performance limits of amplify-and-forward based fading relay channels

Cited by 54 publications

References 22 publications

Co-operative Amplify and Forward Relaying Strategy for Mobile Adhoc Network for Efficient Communication

Co-operative Amplify and Forward Relaying Strategy for Mobile Adhoc Network for Efficient Communication

Throughput-reliability tradeoff in decode-and-forward cooperative relay channels: A network information theory approach

Amplify-forward relaying for multiple-antenna multiple relay networks under individual power constraint at each relay

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