Rate regions of a two-way Gaussian relay channel

Liu, Jianquan; Tao, Meixia; Xu, Youyun

doi:10.1109/chinacom.2009.5339832

Cited by 12 publications

(11 citation statements)

References 13 publications

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“…In this section, we first derive the optimal transmission policy for the three-phase two-way relaying subject to general delay QoS requirements θ = (θ A , θ B ), for which R(P ( ), γ) is given in (6). Then we consider the limiting case when both θ A and θ B approach zero, i.e., the ergodic capacity problem.…”

Section: Optimal Policy For Three-phase Two-way Relayingmentioning

confidence: 99%

“…Different two-way relay protocols have been studied in the literature [3]- [6], [9]. In this paper, we focus on the three-phase and two-phase two-way relay protocols with DF strategy.…”

Section: Two-way Relay Protocolsmentioning

confidence: 99%

“…The notion of two-way relaying is to apply the principle of network coding at the physical layer so that only three or two time slots are needed when a pair of nodes exchange information via a relay node, while the conventional one-way relaying requires four time slots. Most previous efforts on two-way relaying have focused on the design and optimization merely in physical layer, such as analysis of capacity bounds [5], [6], adaptive network-coded constellation mapping [7], joint channel coding and network coding design [8], [9], precoding design with multiple antennas [10], and resource allocation for throughput maximization in OFDMA networks [11]- [14]. Certainly, it is desirable and promising to investigate the cross-layer design and optimization of two-way relay architecture for QoS provisioning.…”

Section: Introductionmentioning

confidence: 99%

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Cross-Layer Optimization of Two-Way Relaying for Statistical QoS Guarantees

Lin

Liu

Tao

2013

IEEE J. Select. Areas Commun.

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Two-way relaying promises considerable improvements on spectral efficiency in wireless relay networks. While most existing works focus on physical layer approaches to exploit its capacity gain, the benefits of two-way relaying on upper layers are much less investigated. In this paper, we study the cross-layer design and optimization for delay quality-of-service (QoS) provisioning in two-way relay systems. Our goal is to find the optimal transmission policy to maximize the weighted sum throughput of the two users in the physical layer while guaranteeing the individual statistical delay-QoS requirement for each user in the datalink layer. This statistical delay-QoS requirement is characterized by the QoS exponent. By integrating the concept of effective capacity, the cross-layer optimization problem is equivalent to a weighted sum effective capacity maximization problem. We derive the jointly optimal power and rate adaptation policies for both three-phase and twophase two-way relay protocols. Numerical results show that the proposed adaptive transmission policies can efficiently provide QoS guarantees and improve the performance. In addition, the throughput gain obtained by the considered three-phase and twophase protocols over direct transmission is significant when the delay-QoS requirements are loose, but the gain diminishes at tight delay requirements. It is also found that, in the two-phase protocol, the relay node should be placed closer to the source with more stringent delay requirement.

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Section: Optimal Policy For Three-phase Two-way Relayingmentioning

confidence: 99%

“…Different two-way relay protocols have been studied in the literature [3]- [6], [9]. In this paper, we focus on the three-phase and two-phase two-way relay protocols with DF strategy.…”

Section: Two-way Relay Protocolsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Cross-Layer Optimization of Two-Way Relaying for Statistical QoS Guarantees

Lin

Liu

Tao

2013

IEEE J. Select. Areas Commun.

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“…In addition, we denote the target sum-rate of overall system as S r . In our considered channel coded TWR model, given 1 The detailed derivation is similar to that described in [32]. that the same LDPC code rate, denoted as r, and the same constellation are employed by the two source nodes, we have…”

Section: Analysis Of Outage Probabilitymentioning

confidence: 99%

Pairwise Check Decoding for LDPC Coded Two-Way Relay Block Fading Channels

Liu

Tao

2012

IEEE Trans. Commun.

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Abstract-Partial decoding has the potential to achieve a larger capacity region than full decoding in two-way relay (TWR) channels. Existing partial decoding realizations are however designed for Gaussian channels and with a static physical layer network coding (PLNC). In this paper, we propose a new solution for joint network coding and channel decoding at the relay, called pairwise check decoding (PCD), for low-density paritycheck (LDPC) coded TWR system over block fading channels. The main idea is to form a check relationship table (checkrelation-tab) for the superimposed LDPC coded packet pair in the multiple access (MA) phase in conjunction with an adaptive PLNC mapping in the broadcast (BC) phase. Using PCD, we then present a partial decoding method, two-stage closest-neighbor clustering with PCD (TS-CNC-PCD), with the aim of minimizing the worst pairwise error probability. Moreover, we propose the minimum correlation optimization (MCO) for selecting the better check-relation-tabs. Simulation results confirm that the proposed TS-CNC-PCD offers a sizable gain over the conventional XOR with belief propagation (BP) in fading channels.Index Terms-Two-way relaying, block fading channel, LDPC, physical layer network coding, partial decoding, pairwise check decoding, closest-neighbor clustering.

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“…When applied to the Gaussian TWRC, this strategy is also known as analog network coding [5]. • Combinations of the above strategies (see [6], [7]). • A combination of partial-decode-forward and compressforward (see [8]).…”

Section: Introductionmentioning

confidence: 99%

The Capacity Region of Multiway Relay Channels Over Finite Fields With Full Data Exchange

Ong

Johnson

Kellett

2011

IEEE Trans. Inform. Theory

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Abstract-The multi-way relay channel is a multicast network where L users exchange data through a relay. In this paper, the capacity region of a class of multi-way relay channels is derived, where the channel inputs and outputs take values over finite fields. The cut-set upper bound to the capacity region is derived and is shown to be achievable by our proposed functional-decode-forward coding strategy. More specifically, for the general case where the users can transmit at possibly different rates, functional-decode-forward, combined with rate splitting and joint source-channel decoding, is proved to achieve the capacity region; while for the case where all users transmit at a common rate, rate splitting and joint source-channel decoding are not required to achieve the capacity. That the capacity-achieving coding strategies do not utilize the users' received signals in the users' encoding functions implies that feedback does not increase the capacity region of this class of multi-way relay channels.

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Rate regions of a two-way Gaussian relay channel

Cited by 12 publications

References 13 publications

Cross-Layer Optimization of Two-Way Relaying for Statistical QoS Guarantees

Cross-Layer Optimization of Two-Way Relaying for Statistical QoS Guarantees

Pairwise Check Decoding for LDPC Coded Two-Way Relay Block Fading Channels

The Capacity Region of Multiway Relay Channels Over Finite Fields With Full Data Exchange

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