Resource-efficient wireless relaying protocols

Lee, Kyungchun; Hanzo, Lajos

doi:10.1109/mwc.2010.5450662

Cited by 29 publications

(23 citation statements)

References 11 publications

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“…It can be observed that with both 16-QAM and QPSK, the average SER curves do not always fall as SNR increases, but level off and converge to stable values at some values of σ max . The reason is 4 For simplicity, we omit the variables n A and n B . that in high SNR regions, the symbol error is mainly caused by phase deviations, therefore the SER does not decrease much with increasing SNR as long as the value of σ max remains unchanged.…”

Section: Numerical Resultsmentioning

confidence: 99%

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Synchronous Physical-Layer Network Coding: A Feasibility Study

Huang

Wang

Song

et al. 2013

IEEE Trans. Wireless Commun.

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Abstract-Recently, physical-layer network coding (PNC) attracts much attention due to its ability to improve throughput in relay-aided communications. However, the implementation of PNC is still a work in progress, and synchronization is a significant and difficult issue. This paper investigates the feasibility of synchronous PNC with M -ary quadrature amplitude modulation (M -QAM). We first propose a synchronization scheme for PNC. Then, we analyze the synchronization errors and overhead of potential synchronization techniques, which includes phase-locked loop (PLL) and maximum likelihood estimation (MLE) based synchronization schemes. Their effects on the average symbol error rate and the goodput are subsequently discussed. Based on the analysis, we perform numerical evaluations and reveal that synchronous PNC can outperform conventional network coding (CNC) even when taking synchronization errors and overhead into account. The theoretical throughput gain of PNC over CNC can be approached when using the MLE based synchronization method with optimized training sequence length. The results in this paper provide some insights and benchmarks for the implementation of synchronous PNC.

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Section: Numerical Resultsmentioning

confidence: 99%

“…Between the two methods of PNC, i.e. amplify-andforward [3] and denoise-and-forward (DNF), the DNF method shows more performance advantages because it avoids noise amplification [4]. Hence, DNF has attracted much interest in Some preliminary ideas of this paper have been presented in IEEE GLOBECOM 2012 [1].…”

Section: Introductionmentioning

confidence: 99%

Synchronous Physical-Layer Network Coding: A Feasibility Study

Huang

Wang

Song

et al. 2013

IEEE Trans. Wireless Commun.

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“…This in turn decreases the gain from employing cooperative diversity. To make the most of this trade-off, network coding may be applied in forwarding the data [31]. The cross-layer consideration is addressed in [32] to improve the cooperation concept from physical layer to networking protocols, where the demonstration is done by incrementally deploying the protocols on the existing commercial hardwares, which are IEEE 802.11b network interface cards.…”

Section: Related Workmentioning

confidence: 99%

Uplink Coordinated Multi-Point ARQ in MIMO Cellular Systems

Quek

Woradit

Shin

et al. 2011

IEICE Trans. Commun.

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SUMMARYCoordinated multi-point processing at multiple base stations can improve coverage, system throughput, and cell-edge throughput for future cellular systems. In this paper, we study the coordinated reception of transmitted signals at multiple MIMO base stations to exploit cooperative diversity. In particular, we propose to employ cooperative multicell automatic repeat request (ARQ) protocol via backhaul links. The attractiveness of this protocol is that processing between coordinated base stations can be made completely transparent to the mobile user, and it improves the mobile user's link reliability and throughput significantly compared to noncooperative ARQ protocol. In our proposed protocol, we consider the scenario where the multicell processing involves one of the following three schemes: decode-and-forward, amplify-and-forward, and compress-andforward schemes. We derive the average packet error rate and throughput for these cooperative multicell ARQ protocols. Numerical results show that the cooperative multicell ARQ protocols are promising in terms of average packet error rate and throughput. Furthermore, we show that the degree of improvement depends on the type of cooperative multicell ARQ protocol employed and the operating average signal-to-noise ratio of the main and backhaul links.

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“…Between the two methods of PNC, i.e. amplify-andforward [2] and denoise-and-forward (DNF), the DNF method shows more performance advantages because it avoids noise amplification [3]. Hence, DNF has attracted much interest in recent research, and we also focus on DNF in this paper.…”

Section: Introductionmentioning

confidence: 99%

Symbol error rate analysis for M-QAM modulated physical-layer network coding with phase errors

Huang

Song

Wang

et al. 2012

2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC)

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Abstract-Recent theoretical studies of physical-layer network coding (PNC) show much interest on high-level modulation, such as M -ary quadrature amplitude modulation (M -QAM), and most related works are based on the assumption of phase synchrony. The possible presence of synchronization error and channel estimation error highlight the demand of analyzing the symbol error rate (SER) performance of PNC under different phase errors. Assuming synchronization and a general constellation mapping method, which maps the superposed signal into a set of M coded symbols, in this paper, we analytically derive the SER for M -QAM modulated PNC under different phase errors. We obtain an approximation of SER for general M -QAM modulations, as well as exact SER for quadrature phase-shift keying (QPSK), i.e. 4-QAM. Afterwards, theoretical results are verified by Monte Carlo simulations. The results in this paper can be used as benchmarks for designing practical systems supporting PNC.Index Terms-Communication systems; phase error; physicallayer network coding (PNC); symbol error rate (SER) analysis; wireless networks.

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Resource-efficient wireless relaying protocols

Cited by 29 publications

References 11 publications

Synchronous Physical-Layer Network Coding: A Feasibility Study

Synchronous Physical-Layer Network Coding: A Feasibility Study

Uplink Coordinated Multi-Point ARQ in MIMO Cellular Systems

Symbol error rate analysis for M-QAM modulated physical-layer network coding with phase errors

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