Modified High-Order PAMs for Binary Coded Physical-Layer Network Coding

Yang, Hyun Jong; Choi, Youngchol; Chun, Joohwan

doi:10.1109/lcomm.2010.08.100166

Cited by 59 publications

(34 citation statements)

References 10 publications

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“…In [91], an algebraic approach was taken and a class of PNC-compatible lattice partitions was found. The complexity of decoding lattice codes with a large alphabet cardinality is high; [92] investigated modified higher-order PAMs for binary-coded PNC.…”

Section: To Probe Furthermentioning

confidence: 99%

Physical-layer network coding: Tutorial, survey, and beyond

Liew

Zhang

2013

Physical Communication

298

261

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The concept of physical-layer network coding (PNC) was proposed in 2006 for application in wireless networks. Since then it has developed into a subfield of network coding with wide followings. The basic idea of PNC is to exploit the network coding operation that occurs naturally when electromagnetic (EM) waves are superimposed on one another. This simple idea turns out to have profound and fundamental ramifications. Subsequent works by various researchers have led to many new results in the domains of 1) wireless communication; 2) wireless information theory; and 3) wireless networking. The purpose of this paper is fourfold. First, we give a brief tutorial on the basic concept of PNC. Second, we survey and discuss recent key results in the three aforementioned areas. Third, we examine a critical issue in PNC: synchronization. It has been a common belief that PNC requires tight synchronization. Our recent results suggest, however, that PNC may actually benefit from asynchrony. Fourth, we propose that PNC is not just for wireless networks; it can also be useful in optical networks. We provide an example showing that the throughput of a passive optical network (PON) could potentially be raised by 100% with PNC.

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Section: To Probe Furthermentioning

confidence: 99%

Physical-layer network coding: Tutorial, survey, and beyond

Liew

Zhang

2013

Physical Communication

298

261

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show abstract

“…Note that the search space is simplified by utilizing the constant modules of MPSK signals regardless of the specific values of the channel coefficients of two links, which allows the proposed scheme to be applicable to the scenario of unbalanced channel states. This is a striking difference between the proposed scheme and the existing schemes which are only applicable when the quality of two links are balanced [18] [19]. According to the ML criterion, the estimate of s NC obtained by using yy * is given aŝ…”

Section: A Single-antenna Pnc-specific Detectormentioning

confidence: 95%

Achieving Full Diversity in Multi-Antenna Two-Way Relay Networks via Symbol-Based Physical-Layer Network Coding

Cao

Gao

et al. 2013

IEEE Trans. Wireless Commun.

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Abstract-This paper considers physical-layer network coding (PNC) with M-ary phase-shift keying (MPSK) modulation in two-way relay channel (TWRC). A low complexity detection technique, termed symbol-based PNC (SPNC), is proposed for the relay. In particular, attributing to the outer product operation imposed on the superposed MPSK signals at the relay, SPNC obtains the network-coded symbol (NCS) straightforwardly without having to detect individual symbols separately. Unlike the optimal multi-user detector (MUD) which searches over the combinations of all users' modulation constellations, SPNC searches over only one modulation constellation, thus simplifies the NCS detection. Despite the reduced complexity, SPNC achieves full diversity in multi-antenna relay as the optimal MUD does. Specifically, antenna selection based SPNC (AS-SPNC) scheme and signal combining based SPNC (SC-SPNC) scheme are proposed. Our analysis of these two schemes not only confirms their full diversity performance, but also implies when SPNC is applied in multiantenna relay, TWRC can be viewed as an effective single-input multiple-output (SIMO) system, in which AS-PNC and SC-PNC are equivalent to the general AS scheme and the maximal-ratio combining (MRC) scheme. Moreover, an asymptotic analysis of symbol error rate (SER) is provided for SC-PNC considering the case that the number of relay antennas is sufficiently large.Index Terms-Physical-layer network coding (PNC), singleinput multiple-output (SIMO), two-way relay, multi-antenna relay, diversity analysis.

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“…different superposed signals may be mapped into the same symbol. However, the well known XOR mapping method causes ambiguity that identical superposed signals are mapped into different symbols when high-level modulations are performed [4], [5]. The resolution proposed by [5] increases sum levels at R and adopts bijective mapping, which reduces Euclidean distances and excludes benefits from non-bijective mapping.…”

Section: Ambiguity In Denoise Mappingmentioning

confidence: 99%

“…However, the well known XOR mapping method causes ambiguity that identical superposed signals are mapped into different symbols when high-level modulations are performed [4], [5]. The resolution proposed by [5] increases sum levels at R and adopts bijective mapping, which reduces Euclidean distances and excludes benefits from non-bijective mapping. Nevertheless, without increasing the number of constellation points, recent design to avoid ambiguity proposed by [22] maintains the non-bijective mapping.…”

Section: Ambiguity In Denoise Mappingmentioning

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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Modified High-Order PAMs for Binary Coded Physical-Layer Network Coding

Cited by 59 publications

References 10 publications

Physical-layer network coding: Tutorial, survey, and beyond

Physical-layer network coding: Tutorial, survey, and beyond

Achieving Full Diversity in Multi-Antenna Two-Way Relay Networks via Symbol-Based Physical-Layer Network Coding

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

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