Advanced hybrid ARQ technique employing a signal constellation rearrangement

Wengerter, C.; Elbwart, A.G.E. von; Seidel, Eiko; Velev, G.; Schmitt, Maike

doi:10.1109/vetecf.2002.1040569

Cited by 68 publications

(42 citation statements)

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“…The efficiency of the system can be improved if the ARQ is combined with a forward-error-correcting (FEC) code, referred to as HARQ, which includes Chase combining [1] and incremental redundancy (IR) [2]. There are many HARQ strategies: including separating the HARQ process into HARQ sub-processes that operate over an isolated pairing of a transmitter and receiver antenna [3]; the constellation rearrangement technique [4] and the bit rearrangement scheme [5] that can provide a kind of diversity for performance improvement. In [4,5], authors developed effective HARQ strategies at the transmitter in order to improve the system reliability.…”

Section: Introductionmentioning

confidence: 99%

“…There are many HARQ strategies: including separating the HARQ process into HARQ sub-processes that operate over an isolated pairing of a transmitter and receiver antenna [3]; the constellation rearrangement technique [4] and the bit rearrangement scheme [5] that can provide a kind of diversity for performance improvement. In [4,5], authors developed effective HARQ strategies at the transmitter in order to improve the system reliability. Contrariwise, both [6,7] discussed combining algorithms at the receiver.…”

Section: Introductionmentioning

confidence: 99%

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DSC and universal bit-level combining for HARQ systems

Xia

Long

2011

J Wireless Com Network

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This paper proposes a Dempster -Shafer theory based combining scheme for single-input single-output (SISO) systems with hybrid automatic retransmission request (HARQ), referred to as DSC, in which two methods for soft information calculations are developed for equiprobable (EP) and non-equiprobable (NEP) sources, respectively. One is based on the distance from the received signal to the decision candidate set consisting of adjacent constellation points when the source bits are equiprobable, and the corresponding DSC is regarded as DSC-D. The other is based on the posterior probability of the transmitted signals when the priori probability for the NEP source bits is available, and the corresponding DSC is regarded as DSC-APP. For the diverse EP and NEP source cases, both DSCD and DSC-APP are superior to maximal ratio combining, the so-called optimal combining scheme for SISO systems. Moreover, the robustness of the proposed DSC is illustrated by the simulations performed in Rayleigh channel and AWGN channel, respectively. The results show that the proposed DSC is insensitive to and especially applicable to the fading channels. In addition, a DS detection-aided bit-level DS combining scheme is proposed for multiple-input multiple-output-HARQ systems. The bit-level DS combining is deduced to be a universal scheme, and the traditional log-likelihood-ratio combining is a special case when the likelihood probability is used as bit-level soft information.Keywords: Basic probability assignment (BPA), Bit-level combining, Dempster -Shafer (D -S) evidence theory, Hybrid automatic retransmission request (HARQ), Multiple-input multiple-output (MIMO), Maximum-ratio combining (MRC) I IntroductionA concern in packet data communication systems is how to control the transmission errors caused by the channel noise and interferences so that packets can be transmitted reliably. Automatic retransmission request (ARQ), as a fundamental approach, is intended to ensure an extremely low packet error rate. The efficiency of the system can be improved if the ARQ is combined with a forward-error-correcting (FEC) code, referred to as HARQ, which includes Chase combining [1] and incremental redundancy (IR) [2]. There are many HARQ strategies: including separating the HARQ process into HARQ sub-processes that operate over an isolated pairing of a transmitter and receiver antenna [3]; the constellation rearrangement technique [4] and the bit rearrangement scheme [5] that can provide a kind of diversity for performance improvement. In [4,5], authors developed effective HARQ strategies at the transmitter in order to improve the system reliability. Contrariwise, both [6,7] discussed combining algorithms at the receiver.Three linear combining schemes [8], selection combining (SC), equal-gain combining (EGC), and maximal ratio combining (MRC), entail various trade-offs between performance and complexity, and comparatively MRC is deemed to be superior to the others by outputting the maximum signal-to-noise (SNR) ratio in SISO systems. Jang e...

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

DSC and universal bit-level combining for HARQ systems

Xia

Long

2011

J Wireless Com Network

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“…An ARQ scheme that considers the effect of rearranging mapping for Continuously Phase Frequency Shift Keying (CPFSK) modulation is proposed in [23]. [15,16] observe the different reliability of bits in Gray constellation maps and balance the protection in retransmissions by swapping the more reliable bits with less reliable ones. [20] designs the optimal constellation maps for retransmissions.…”

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confidence: 99%

MISC: Merging incorrect symbols using constellation diversity for 802.11 retransmission

Zheng

2014

IEEE INFOCOM 2014 - IEEE Conference on Computer Communications

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-802.11 WLANs suffer from high packet losses due to interference and noise. Packet retransmission is a fundamental way to recover a lost packet. To extract useful information from incorrect symbols and improve retransmission efficiency, we present MISC, a packet retransmission scheme that merges incorrect symbols from multiple transmissions to produce correct ones. MISC proactively creates constellation diversity by rearranging the constellation maps in retransmissions. MISC addresses practical implementation issues and makes minimum amendments to integrate into current 802.11 WLAN framework. We implement MISC in an 802.11-based GNURadio/USRP platform and conduct extensive experiments to evaluate its efficacy. Experiment results demonstrate that MISC can substantially improve the throughput.I. INTRODUCTION 802.11 WLANs suffer from high transmission errors due to interference and noise. When a packet gets corrupted and fails the checksum test, current 802.11 receiver discards the corrupted packet and attempts to receive a clean packet through packet retransmission. As a growing number of wireless devices contend limited unlicensed spectrum (e.g., 2.4G ISM band), such a scheme is inefficient and results in even more retransmissions [8].In this paper, we propose MISC, an extension to current 802.11 framework, which merges incorrect symbols leveraging constellation diversity to improve packet retransmission efficiency. MISC allows the receiver to jointly decode a packet based on multiple retransmissions. The constellation points are shuffled for successive retransmissions in a way that each constellation point will have completely different neighboring points from the former transmission. For each received symbol in a packet, we store the distances from this PHY symbol to each point on the constellation map. To combine multiple packets, we sum up the distances in different transmissions and pick the constellation point with the minimum overall distance. As MISC proactively creates constellation diversity by using alternative comstellation maps for retransmissions, the symbol distances between the received symbol and potential incorrect candidates rapidly increase, while the distance to the correct point remains statistically low. By doing so, the receiver can correct symbol errors leveraging constellation diversity and achieve higher retransmission efficiency.We design MISC in a way that minimum amendments are needed to integrate into current 802.11 WLAN framework. Practical challenges are addressed in implementing MISC under 802.11 framework. In particular, we deeply study the way of constellation map alternation on sequential transmissions that achieves balance between decoding performance and overhead, and allows easy integration into 802.11 protocol stack. We consider a practical extension on 802.11 PHY

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“…The gains of such a mapping rearrangement (MR) were initially shown in [4] and [5] and are also known as constellation rearrangement [6] or mapping diversity [7]. MR recently received more attention: new mappings were designed to minimize the bounds on uncoded bit error rate (MBER) after packet combining [7] or -to maximize the minimum squared Euclidean distance (MMSED) between the constellation points [8].…”

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confidence: 99%

“…A form of MR was also included in the high speed downlink packet access (HSDPA) third-generation standard [9,Sec. 4.5.7][10] [6] and the theoretical performance limits of MR for 16-QAM were analyzed in [11]. It is worth mentioning that the so-called incremental redundancy (IR) where each retransmission carries new parity bits is another option for HARQ.…”

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confidence: 99%

Mapping Rearrangement for HARQ Based on Low-Order Modulation

Szczeciński

Ceron

Feick

2009

IEEE Trans. Commun.

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Abstract-In this paper we consider hybrid automatic repeat request transmission based on binary phase shift keying modulation. Our objective is to improve the performance of the retransmissions, keeping at the same time the complexity and the performance of the first transmission unaltered. We conclude that the so-called mapping rearrangement (MR) may considerably improve the performance if multi-dimensional modulation is applied. We evaluate the theoretical limits of bit-interleaved coded modulation with MR, verify the functioning of the practical coding scheme, and propose to improve the performance via iterative detection-decoding (BICM-ID) which brings considerable gains. In particular, for high coding rates, a 4 dB SNR gain over transmission without MR may be achieved.

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Advanced hybrid ARQ technique employing a signal constellation rearrangement

Cited by 68 publications

References 5 publications

DSC and universal bit-level combining for HARQ systems

DSC and universal bit-level combining for HARQ systems

MISC: Merging incorrect symbols using constellation diversity for 802.11 retransmission

Mapping Rearrangement for HARQ Based on Low-Order Modulation

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