The Anti-Packets Can Increase the Achievable Throughput of a Wireless Multi-Hop Network

Popovski, Petar; Yomo, Hiroyuki

doi:10.1109/icc.2006.255688

Cited by 305 publications

(224 citation statements)

References 5 publications

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“…With DNF protocol [9][10], the th ( =1, 2, ..., ) relay just maps the th ( =1, 2..., ) receive symbol to another BPSK symbolˆ( )∈ {−1, 1} that can be used by each source to uniquely decode the symbol transmitted from the other end. Hereˆ( )∈ {−1, 1} can be regarded as an estimate of the auxiliary symbol ( ), so the relay denoising function is actually equivalent to the decoder for ( ).…”

Section: System Modelmentioning

confidence: 99%

“…However, the proposed joint decode-and-forward protocol is hard to realize in practice without any special multiple access technique, as the source signals already combine in the air and decoding them separately results in large BER. With such concerns, [9] proposes a new Denoise-and-Forward (DNF) protocol, where the relays apply a denoising function to map the receive signal into another quantized symbol that can be used by each source node to uniquely decode the symbol transmitted from the other end. A similar scheme called Physical-Layer Network Coding (PLNC) is proposed in [10], where the condition to guarantee one-to-one mapping between NC and PLNC is also given.…”

Section: Introductionmentioning

confidence: 99%

“…While TWR opens a door to improve spectral efficiency, most of the existing work [8], [9] and [11]- [13] all assume that the terminals have full knowledge of Channel State Information (CSI), which on the other hand is hard to acquire in a fast-fading environment [3]. Such concerns motivate the non-coherent modulation schemes, which have been widely examined for the traditional one-way relaying.…”

Section: Introductionmentioning

confidence: 99%

“…However, early work on DNF protocol focuses mainly on AWGN channels [9] [10]. Although the decoder design issue in the fading channel has been partly addressed in [21] for the single-relay system, the performance is mainly evaluated through simulation and there are no discussions about resource allocation.…”

Section: Introductionmentioning

confidence: 99%

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Performance Analysis of Two-Way Relaying with Non-Coherent Differential Modulation

Guan

Liu

2011

IEEE Trans. Wireless Commun.

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Abstract-This work focuses on a two-way denoise-andforward relaying system using non-coherent Differential Binary Phase-Shift Keying (DBPSK) modulation, which has the welldefined relay denoising function when channel state information is unknown. We first design the relay denoising function and source decoders using Maximum Likelihood (ML) principles for the general case with parallel relays. As the ML denoising function is hard to manipulate, we approximate it as a multi-user detector followed by a physical layer network coding encoder and obtain the closed-form relay decoding error. For the singlerelay case, we show that the ML source decoder is actually equivalent to the typical DBPSK decoder for the relay-source channel and thus derive the exact end-to-end Bit Error Rate (BER). To minimize the average BER, we also investigate the power allocation problem by use of asymptotic analysis at high Signal-to-Noise Ratio (SNR). We show that the optimal source power is inversely proportional to the square root of the channel gain of the source-relay channel, and the optimal relay power decreases with SNR. For the multi-relay case, though the exact analysis is intractable, we develop upper bound and lower bound on BER and show that the diversity order is exactly ⌈ 2 ⌉ .Index Terms-Two-way relaying, differential modulation, BER, diversity order, power allocation.

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Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Performance Analysis of Two-Way Relaying with Non-Coherent Differential Modulation

Guan

Liu

2011

IEEE Trans. Wireless Commun.

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“…In [6], [7], a three time slot (TS) NC scheme based on decode-and-forward (DF) protocol was first introduced to TWRNs. By allowing two sources to transmit simultaneously to the relay, a two TS analog network coding (ANC) scheme with amplify-and-forward (AF) protocol [8], [9] and a two TS physical-layer network coding (PNC) scheme using estimated-and-forward (EF) protocol [10], [11] were proposed for TWRNs. It has been shown that exploiting NC in two-way relaying leads to substantial throughput increase with respect to the conventional four TS scheme.…”

Section: Introductionmentioning

confidence: 99%

Source and physical‐layer network coding for correlated two‐way relaying

Huo

Song

et al. 2016

IET Communications

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In this paper, we study a half-duplex two-way relay channel (TWRC) with correlated sources exchanging bidirectional information. In the case, when both sources have the knowledge of correlation statistics, a source compression with physical-layer network coding (SCPNC) scheme is proposed to perform the distributed compression at each source node. When only the relay has the knowledge of correlation statistics, we propose a relay compression with physical-layer network coding (RCPNC) scheme to compress the bidirectional messages at the relay. The closed-form block error rate (BLER) expressions of both schemes are derived and verified through simulations. It is shown that the proposed schemes achieve considerable improvements in both error performance and throughput compared with the conventional non-compression scheme in correlated two-way relay networks (CTWRNs).

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