Optimal Choice of Transmission Parameters for LDPC-Coded CPM

Foruhandeh, Mahsa; Uysal, Murat; Altunbaş, İbrahim; Guven, Tuna; Gercek, Alper

doi:10.1109/milcom.2014.66

Cited by 4 publications

(4 citation statements)

References 20 publications

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“…For single index modulation,

is commonly used. Finally, the pulse shaping function

usually utilizes rectangular pulse (REC), rising cosine pulse (RC), and Gauss minimum-phase shift-keying pulse (GMSK) [ 26 ].…”

Section: Cpm Parameter Selectionmentioning

confidence: 99%

Energy Consumption Analysis for Continuous Phase Modulation in Smart-Grid Internet of Things of beyond 5G

Gao,

Lu,

Yang

et al. 2024

Sensors

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Wireless sensor network (WSN) underpinning the smart-grid Internet of Things (SG-IoT) has been a popular research topic in recent years due to its great potential for enabling a wide range of important applications. However, the energy consumption (EC) characteristic of sensor nodes is a key factor that affects the operational performance (e.g., lifetime of sensors) and the total cost of ownership of WSNs. In this paper, to find the modulation techniques suitable for WSNs, we investigate the EC characteristic of continuous phase modulation (CPM), which is an attractive modulation scheme candidate for WSNs because of its constant envelope property. We first develop an EC model for the sensor nodes of WSNs by considering the circuits and a typical communication protocol that relies on automatic repeat request (ARQ)-based retransmissions to ensure successful data delivery. Then, we use this model to analyze the EC characteristic of CPM under various configurations of modulation parameters. Furthermore, we compare the EC characteristic of CPM with that of other representative modulation schemes, such as offset quadrature phase-shift keying (OQPSK) and quadrature amplitude modulation (QAM), which are commonly used in communication protocols of WSNs. Our analysis and simulation results provide insights into the EC characteristics of multiple modulation schemes in the context of WSNs; thus, they are beneficial for designing energy-efficient SG-IoT in the beyond-5G (B5G) and the 6G era.

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“…For single index modulation,

is commonly used. Finally, the pulse shaping function

usually utilizes rectangular pulse (REC), rising cosine pulse (RC), and Gauss minimum-phase shift-keying pulse (GMSK) [ 26 ].…”

Section: Cpm Parameter Selectionmentioning

confidence: 99%

Energy Consumption Analysis for Continuous Phase Modulation in Smart-Grid Internet of Things of beyond 5G

Gao,

Lu,

Yang

et al. 2024

Sensors

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show abstract

“…To further enhance the power and bandwidth efficiencies, coded CPM with symbol mapping using iterative decoding was presented. Considering the excellent properties of CPM and the serially concatenated principles [10,11], some particularly attractive solutions have become the focus of research, such as the convolutional [12,13], turbo [14][15][16], and low-density parity-check (LDPC) coded CPM [17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

“…Fortunately, A. G. Amat filled the gap and designed a suitable CPM using SIR among all CPM candidates [8], however, the SIR should be calculated for each CPM, which is a difficult task. Similarly, M. Foruhandeh used a systematic search procedure among all the candidates to identify the appropriate CPM scheme [20], achieving a targeted spectral efficiency and error rate, which results in considerable inconvenience in the CPM parameter design. Benaddi, T. derives an asymptotic analysis and optimization of coded CPM systems using both unstructured and protograph-based LDPC codes ensembles [24].…”

Section: Introductionmentioning

confidence: 99%

Optimized Design for NB-LDPC-Coded High-Order CPM: Power and Iterative Efficiencies

Xue

Wang

Sun³

et al. 2020

Symmetry

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In this paper, a non-binary low-density parity-check (NB-LDPC) coded high-order continuous phase modulation (CPM) system is designed and optimized to improve power and iterative efficiencies. Firstly, the minimum squared normalized Euclidean distance and the 99% double-sided power bandwidth are introduced to design a competitive CPM, improving its power efficiency under a given code rate and spectral efficiency. Secondly, a three-step method based on extrinsic information transfer (EXIT) and entropy theory is used to design NB-LDPC codes, which reduces the convergence threshold approximately 0.42 and 0.58 dB compared with the candidate schemes. Thirdly, an extrinsic information operation is proposed to address the positive feedback issue in iterative detection and decoding and the value of bit error rate (BER) can approximately be reduced by 5×10−3. Finally, iteration optimization employing the EXIT chart and mutual information between demodulation and decoding is performed to achieve a suitable tradeoff for the communication reliability and iterative decoding delay. Simulation results show that the resulting scheme provides an approximately 3.95 dB coding gain compared to the uncoded CPM and achieves approximately 0.5 and 0.7 dB advantages compared with the candidate schemes. The resulting NB-LDPC-coded high-order CPM for a given code rate and spectral efficiency converges earlier into a turbo cliff region compared with other competitors and significantly improves power and iterative efficiencies.

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“…As a result, we mainly focus on the design of the outer coding scheme for a fixed CPM modulation scheme. This approach is different than in [7], [8] where CPM parameters are not set.…”

Section: Introductionmentioning

confidence: 99%

New perspectives for coded continuous phase modulations for narrowband waveforms: Iterative versus non-iterative solutions

Naour

Janin

Poulliat

2017

MILCOM 2017 - 2017 IEEE Military Communications Conference (MILCOM)

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NarrowBand Waveforms (NBWF) are often used in VHF or UHF tactical communications. For these kinds of waveforms, low latency and robust data rates result in short codeword lengths that are challenging in terms of channel coding. Usually, serially concatenated convolutional code and continuous phase modulation (CC-CPM) schemes are considered in the context of NBWF. When evaluating the achievable rates, CC-CPM schemes show a 1 to 4 dB maximum margin. In this paper, we investigate on two new sparse graph-based channel coding strategies, trying to reduce this degradation for the achievable rate. Some implementation issues with short codeword lengths are also addressed. To this end, we first consider a serially concatenated CPM scheme where the outer code is an optimized Low-Density Parity-Check code (LDPC) based on some recently introduced methods for this kind of applications. The optimized LDPC scheme exhibits a good bit error rate when binary CPMs are used. This new design comes with lower computational complexity and greater flexibility. Second, in order to avoid the cubersome of iterative detection and decoding, we investigate on recently introduced precoded CPM that can achieve near optimal performance, referred to us as Pragmatic CPM (P-CPM). For this kind of precoded CPM schemes, we will show that associated EXIT chart curves have the flat property. It means that, to achieve good performance, P-CPM can be used with standard capacity approaching codes like LDPC Accumulate Repeat Jagged Accumulate (ARJA) or Turbo Codes without the need for iterative decoding. Bit error rate simulations confirm that P-CPM is a reliable alternative NBWF scheme compatible with versatile modern channel codes. As P-CPM is non-iterative, implementation is made easier. In additive white Gaussian noise, both schemes are found practical.

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Optimal Choice of Transmission Parameters for LDPC-Coded CPM

Cited by 4 publications

References 20 publications

Energy Consumption Analysis for Continuous Phase Modulation in Smart-Grid Internet of Things of beyond 5G

Energy Consumption Analysis for Continuous Phase Modulation in Smart-Grid Internet of Things of beyond 5G

Optimized Design for NB-LDPC-Coded High-Order CPM: Power and Iterative Efficiencies

New perspectives for coded continuous phase modulations for narrowband waveforms: Iterative versus non-iterative solutions

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