Constellation Shaping for Bandwidth-Efficient Turbo-Coded Modulation With Iterative Receiver

Goff, S.Y. Le; Khoo, Boon Kien; Tsimenidis, Charalampos C.; Sharif, B.S.

doi:10.1109/twc.2007.05780

Cited by 46 publications

(40 citation statements)

References 32 publications

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“…In fact, most results for constellation shaping with finite signal constellations consider only point-to-point communication systems [11]. Then, the concept of constellation shaping has been adapted to most modern coding and modulation techniques as for example turbo coding and BICM schemes [12][13][14][15][16][17][18][19]. For broadcast channels, the achievable rate region for two-user AWGN broadcast channels with finite input alphabets is derived in [20] when superposition of modulated signal is used as transmission strategy.…”

Section: Introductionmentioning

confidence: 99%

Achievable rates optimization for broadcast channels using finite size constellations under transmission constraints

Mheich

Alberge

Duhamel

2013

J Wireless Com Network

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In this paper, maximal achievable rate regions are derived for power-constrained AWGN broadcast channel involving finite constellations and two users. The achievable rate region is studied for various transmission strategies including superposition coding and compared to standard schemes such as time sharing. The maximal achievable rates are obtained by optimizing over both the joint distribution of probability and over the constellation symbol positions. A numerical solution is proposed for solving this non-convex optimization problem. Then, we consider several variations of the same problem by introducing various constraints on the optimization variables. The aim is to evaluate efficiency vs. complexity tradeoffs of several transmission strategies, some of which (the simplest ones) can be found in actual standards. The improvement for each scheme is evaluated in terms of SNR savings for target achievable rates or/and percentage of gain in achievable rates for one user compared to a reference scheme. As an application, two scenarios of coverage areas and user alphabets are considered. This study allows to evaluate with practical criteria the performance improvement brought by more advanced schemes.

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Section: Introductionmentioning

confidence: 99%

Achievable rates optimization for broadcast channels using finite size constellations under transmission constraints

Mheich

Alberge

Duhamel

2013

J Wireless Com Network

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“…For the BICM system, the symbol demapper is only executed once, and information is not fed back to the demapper. Note that in [10], it is shown that feeding back information to the demapper provides little gain when gray-mapped PAM or QAM is used. However, since the present system uses APSK, a gray mapping is not possible, and BICM-ID is beneficial, as demonstrated for unshaped systems in [13] and for shaped systems in Section V.…”

Section: Bicm-id Receiver Structurementioning

confidence: 99%

“…Using the MAP demodulator described in [10] and [16], the a posteriori probability that z k (x) = q, q ∈ {0, 1}, is…”

Section: A the Demodulatormentioning

confidence: 99%

“…However, as we have shown in [6], the performance of APSK may be improved by selecting lowerenergy signals more frequently than higher-energy signals. The strategy in [6] is an instance of the general concept of constellation shaping [7]- [10]. Our strategy for APSK is based on that proposed by Le Goff et al in [10] for bit-interleaved turbo-coded pulse-amplitude modulation (PAM).…”

Section: Introductionmentioning

confidence: 99%

“…Our strategy for APSK is based on that proposed by Le Goff et al in [10] for bit-interleaved turbo-coded pulse-amplitude modulation (PAM). The strategy in [10] partitions the basic constellation into two or more sub-constellations of increasing average energy and uses a shaping code to select signals from the lower energy subconstellations more often than the signals from higher energy sub-constellations.…”

Section: Introductionmentioning

confidence: 99%

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Improving DVB-S2 performance through constellation shaping and iterative demapping

Xiang

Valenti

2011

2011 - MILCOM 2011 Military Communications Conference

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Abstract-Because it is widely supported by commercial-offthe-shelf (COTS) technology, the DVB-S2 waveform standard has become an attractive solution for military communication links. The waveform uses a combination of amplitude-phaseshift keying (APSK) modulation and low-density parity-check (LDPC) codes. Typical DVB-S2 implementations select signals from the APSK signal set with uniform probability. However, information-theoretic results suggest that performance may be improved by selecting lower-energy signals more frequently than higher-energy signals. In this paper, we propose and analyze a DVB-S2-compatible system that shapes the APSK constellation by selecting signals with a nonuniform probability. The receiver iterates between the APSK demapper, the shaping decoder, and the LDPC decoder. Using 32-APSK and a rate of 3 data bits per symbol, the system described in this paper achieves a gain of over 1 dB relative to a standard DVB-S2 system (i.e. one that does not use shaping or iterative demodulation) in additive white Gaussian noise (AWGN) at a bit-error rate of 10 −5 . About 0.7 dB of the gain can be attributed to shaping, and rest of the gain can be attributed to iterative demodulation and decoding. Lesser gains can be achieved over Rayleigh fading channels.

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Information‐Theoretic Elements

Szczeciński

Alvarado

2014

Bit‐Interleaved Coded Modulation

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Constellation Shaping for Bandwidth-Efficient Turbo-Coded Modulation With Iterative Receiver

Cited by 46 publications

References 32 publications

Achievable rates optimization for broadcast channels using finite size constellations under transmission constraints

Achievable rates optimization for broadcast channels using finite size constellations under transmission constraints

Improving DVB-S2 performance through constellation shaping and iterative demapping

Information‐Theoretic Elements

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