In this paper, we study a hybrid free-space optical/radio-frequency (FSO/RF) communication system deploying protograph-based low-density parity-check (P-LDPC) codes. We use the protograph-based extrinsic information t...
详细信息
ISBN:
(纸本)9781467376884
In this paper, we study a hybrid free-space optical/radio-frequency (FSO/RF) communication system deploying protograph-based low-density parity-check (P-LDPC) codes. We use the protograph-based extrinsic information transfer (PEXIT) algorithm to accurately evaluate the system performance and employ the hybrid FSO/RF symbol mapping technique and the generalized variable degree matched mapping (G-VDMM) interleaver to enhance the performance. To make the optimization feasible and simpler for high-level modulation, we propose a much simpler but efficient design method: select a conventional Gray-labeled mapping scheme and then optimize the G-VDMM interleaver. Both numerical analyses and simulations verify that the performance of a hybrid FSO/RF system can be greatly improved by optimizing the symbol mapping and bit interleaving.
For meteor burst communications (MBC), although per-survivor processing (PSP) based on joint data and channel estimation provides superior performance and robustness for meteor burst communications (MBC), great comput...
详细信息
ISBN:
(纸本)9781479959532
For meteor burst communications (MBC), although per-survivor processing (PSP) based on joint data and channel estimation provides superior performance and robustness for meteor burst communications (MBC), great computational complexity constrains its application in practice. On this occasion, a dimension-down PSP (D-PSP) algorithm and a adaptive state reduction of PSP (ASRP) algorithm are proposed to curve this problem in this paper. On the basis of this, the adaptive state reduction using a dimension-down PSP (ADPSP) is proposed to combine the advantages of D-PSP and ASRP, which reduces the computational time and memory size for exponentially decaying meteor burst channels and makes maximum likelihood sequence detection (MLSD) possible for adaptive data transmission. Simulation results are presented to validate the theoretical analysis. It is shown that deploying the proposed ADPSP algorithm can achieve a good tradeoff between performance and computational complexity dynamically, and provide reliable data transmission for MBC systems with adaptive coding and modulation.
The overwhelming majority of the large literature on coding for the relay channel has been dedicated to the low-SNR regime (binary signaling) and the half-duplex scenario. For non-binary full-duplex signaling, importa...
详细信息
ISBN:
(纸本)9781479959532
The overwhelming majority of the large literature on coding for the relay channel has been dedicated to the low-SNR regime (binary signaling) and the half-duplex scenario. For non-binary full-duplex signaling, important challenges remain in the simultaneous design of coded modulation at the source and relay. Part of the difficulty is to design the codes with the requisite correlation prescribed by theory. This paper proposes a systematic code design methodology for the relay channel via multilevel coding (MLC). The main difficulty was that a straight-forward extension of the chain rule MLC decomposition, as was previously used in the point-to-point MLC, would result in many dependencies between the coded layers of the source and relay. A key contribution of this paper is showing that MLC joint source/relay code design can be implemented via standard binary code design procedures. Specifically, we outline a design process where the correlation between the source and relay codes are implemented purely via pairwise correlations between the binary codes of source and relay at each layer, without any other inter-layer correlations. Moreover, a specific design example is provided via a simple XOR operation on two conventionally designed codes. Numerical results show excellent performance for the proposed scheme.
In almost all the work owned out in the area of automatic modulation classification (AMC), the dictionary of all possible modulations that can occur is assumed to be fixed and given. In this paper, we consider the pro...
详细信息
In almost all the work owned out in the area of automatic modulation classification (AMC), the dictionary of all possible modulations that can occur is assumed to be fixed and given. In this paper, we consider the problem of discovering the unknown digital amplitude-phase modulations when the dictionary is not given. A deconvolution based framework is proposed to estimate the distribution of the transmitted symbols, which completely characterizes the underlying signal constellation. The method involves computation of the empirical characteristic function (ECF) from the received signal samples, and employing constrained least squares (CLS) filtering in the frequency domain to reveal the unknown symbol set. The decoding of the received signals can then be carried out based on the estimate of the signal constellation. The proposed method can be implemented efficiently using fast Fourier transform (FFT) algorithms. In addition, we show that the distribution estimate of the transmitted symbols can be refined if the signal constellation is known to satisfy certain symmetry and independence properties. (C) 2014 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
Radio Frequency IDentification (RFID) is intended to supplant legacy (optical) bar code scanning technology found in many logistic and retail applications. RFID is distinguished by inexpensive, low power and compact f...
详细信息
Radio Frequency IDentification (RFID) is intended to supplant legacy (optical) bar code scanning technology found in many logistic and retail applications. RFID is distinguished by inexpensive, low power and compact form factor tags, whose longevity and efficacy are predicated on using passive communication techniques and on-tag power harvesting. Such tags employ backscatter modulation, which does not require any active RF components. As a result, backscatter has become an attractive design choice for short-range communications in power constrained wireless sensor networking scenarios. The purpose of this work is two-fold. First, it aims to expose backscatter communication as an emerging topic to a communication systems-theoretic audience. Since backscatter modulation and on-tag power harvesting efficiency are coupled, it is necessary to re-examine notions of power and spectral efficiency from an energy-constraint perspective;this leads to novel coded modulation schemes for future RFID systems. Further, we investigate RFID MIMO systems where the channel fading encountered has different statistics than the classical Rayleigh fading model. In turn, the trade off between diversity order and spatial multiplexing gains are distinct from wide-area MIMO.
In this tutorial, we study the joint design of forward error correction (FEC) and modulation for fiber-optic communications. To this end, we use an information-theoretic design framework to investigate coded modulatio...
详细信息
In this tutorial, we study the joint design of forward error correction (FEC) and modulation for fiber-optic communications. To this end, we use an information-theoretic design framework to investigate coded modulation (CM) techniques for standard additive white Gaussian noise (AWGN) channels and fiber-optic channels. This design guideline helps us provide a comprehensive overview of the CM schemes in the literature. Then, by invoking recent advances in optical channel modeling for nondispersion-managed links, we discuss two-dimensional (2-D) and four-dimensional (4-D) CM schemes. Moreover, we discuss the electronic computational complexity and hardware constraints of CM schemes for optical communications. Finally, we address CM schemes with signal shaping and rate-adaptation capabilities to accommodate the data transmission scheme to optical links with different signal qualities.
In this study, a new iterative interference cancellation (IIC) multiuser detection method is proposed for overloaded multiple-input multiple-output (MIMO) coded orthogonal frequency division multiplexing systems. A ch...
详细信息
In this study, a new iterative interference cancellation (IIC) multiuser detection method is proposed for overloaded multiple-input multiple-output (MIMO) coded orthogonal frequency division multiplexing systems. A channel analyser is used to detect those channels for which the IIC detector will not converge. For these we propose two adaptive methods to enable detection. The first is to use a lower code rate for these channels. The second is to divide the transmitters into several groups which transmit in separate slots. Low-complexity matched filter is applied, and both successive interference cancellation and parallel interference cancellation are considered for interference reconstruction. The simulation results show that the proposed technique can achieve near-optimum bit error rate performance and optimum frame error rate performance, with lower complexity than optimum maximum-likelihood methods.
Optimal iterative log-MAP decoding of turbo codes requires accurate knowledge of the operating signal-to-noise ratio (SNR). However, the SNR information, available at practical decoders for bit-interleaved coded modul...
详细信息
Optimal iterative log-MAP decoding of turbo codes requires accurate knowledge of the operating signal-to-noise ratio (SNR). However, the SNR information, available at practical decoders for bit-interleaved coded modulation systems, such as the third generation partnership project high-speed packet access and long-term evolution wireless cellular systems, may be inaccurate. In this study, two decoder architectures for improved turbo decoding in the presence of SNR mismatch are proposed. The SNR-mismatch aware turbo decoder selects the decoder which is estimated to have the best performance at the current mismatch, according to the test criterion. The SNR-mismatch compensated turbo decoder provides a more accurate estimation of the noise variance and concurrently scales the channel and the decoder log-likelihood ratios (LLRs) to continue decoding. Two different methods are proposed to find the optimal scaling factors online, one on the symbol level and the other on the bit level. This study shows that online LLR scaling, without prior knowledge about the noise mismatch statistics, can result in near-optimal turbo decoding regardless of the initial SNR mismatch.
In this study, the authors consider designing low-density parity-check (LDPC) coded modulation systems to achieve unequal error protection (UEP). They propose a new UEP approach by partial superposition transmission (...
详细信息
In this study, the authors consider designing low-density parity-check (LDPC) coded modulation systems to achieve unequal error protection (UEP). They propose a new UEP approach by partial superposition transmission (PST) called UEP-by-PST. In the UEP-by-PST system, the information sequence is distinguished as two parts, the more important data (MID) and the less important data (LID), both of which are coded with LDPC codes. The codeword that corresponds to the MID is superimposed on the codeword that corresponds to the LID. The system performance can be analysed by using discretised density evolution. Also proposed in this study is a criterion from a practical point of view to compare the efficiencies of different UEP approaches. Numerical results show that, over both additive white Gaussian noise channels and uncorrelated Rayleigh fading channels, (i) UEP-by-PST provides higher coding gain for the MID compared with the traditional equal error protection approach, but with negligible performance loss for the LID;and (ii) UEP-by-PST is more efficient with the proposed practical criterion than the UEP approach in the digital video broadcasting system.
In this study, the authors present a low-complexity iterative joint detection-decoding algorithm for majority-logic decodable non-binary low-density parity-check (LDPC) coded modulation systems. In the proposed algori...
详细信息
In this study, the authors present a low-complexity iterative joint detection-decoding algorithm for majority-logic decodable non-binary low-density parity-check (LDPC) coded modulation systems. In the proposed algorithm, a hard-in-hard-out decoder is combined with a hard-decision signal detector in an iterative manner. Each iteration consists of five phases. Firstly, the detector makes hard decisions based on the iteratively updated 'received' signals;secondly, these hard decisions are distributed via variable nodes to check nodes;thirdly, check nodes compute hard extrinsic messages;fourthly, each variable node counts hard extrinsic messages from its adjacent check nodes and feeds back to the detection node the symbol with the most votes as well as the difference between the most votes and the second most votes;finally, these feedbacks are used to shift each 'received' signal point along an estimated direction to possibly reduce noise. The proposed algorithm requires only integer operations and finite field operations and consequently can be implemented with simple combinational logic circuits in practical systems. Simulation results show that the proposed algorithm performs well and hence serves as an attractive candidate for trading off performance against complexity for majority-logic decodable non-binary LDPC codes.
暂无评论