- Advanced Wireless Communication Techniques
- Wireless Communication Networks Research
- Advanced Wireless Communication Technologies
- Bluetooth and Wireless Communication Technologies
- Wireless Signal Modulation Classification
- PAPR reduction in OFDM
- Sparse and Compressive Sensing Techniques
- Optical Wireless Communication Technologies
- Full-Duplex Wireless Communications
- Speech and Audio Processing
- Satellite Communication Systems
- Blind Source Separation Techniques
- Cooperative Communication and Network Coding
- Indoor and Outdoor Localization Technologies
- Radar Systems and Signal Processing
- Caching and Content Delivery
- Advanced SAR Imaging Techniques
- Underwater Vehicles and Communication Systems
- Optical Network Technologies
- Recommender Systems and Techniques
- Power Line Communications and Noise
- Advanced MIMO Systems Optimization
- Speech Recognition and Synthesis
- Error Correcting Code Techniques
- Algorithms and Data Compression
University of Electronic Science and Technology of China
2015-2024
Shanghai Advanced Research Institute
2017
Chinese Academy of Sciences
2017
Feminist Archive North
2008
Non-orthogonal multiple access (NOMA) is an emerging research topic in the future fifth generation wireless communication networks, which expected to support massive connectivity for machine-type communications (mMTC). Due sporadic nature of mMTC, grant-free transmission methodology highly uplink NOMA systems, drastically reduce latency and signaling overhead. Exploiting inherent sparsity user activity, compressive sensing (CS) techniques have been applied efficient multi-user detection...
Grant-free non-orthogonal multiple access has recently gained significant attention for reducing signaling overhead in machine-type communications. In this context, compressed sensing (CS) been identified as a good candidate joint activity and data detection due to the inherent sparsity nature of user activity. This paper augments frame-based multi-user uplink scenarios where users are (in)-active duration frame, namely, frame-wise model. First, we formulate block CS (BCS)-based sparse...
Grant-free non-orthogonal multiple access is an emerging research topic in machine-type communications, which used to reduce signaling overhead. In this context, letter introduces a novel joint channel estimation (CE) and multiuser detection (MUD) framework for the frame based multi-user transmission scenario where users are (in)active duration of frame. First, considering inherent frame-wise sparsity pilot data phases entire frame, we formulate measurement vector-compressive sensing...
The existing multiuser detection schemes for uplink (UP) sparse code multiple access (SCMA) systems are based on a parallel message update passing algorithm (MPA). In this letter, shuffled MPA (S-MPA) scheme UP SCMA is proposed, serial strategy. Since the updated messages can join propagation immediately in current iteration, convergence rate accelerated, so that complexity of proposed S-MPA be substantially reduced with negligible bit error (BER) degradation. Simulations show two iterations...
Sparse code multiple access (SCMA) is a competitive non-orthogonal technique for fifth generation wireless communication networks which can accommodate massive connectivity. Among the existing multiuser detection schemes uplink (UP) SCMA systems, asynchronous message passing algorithm (ASYN-MPA) scheme, where messages are updated sequentially, generally converges faster than synchronous variant, all in parallel manner. Nevertheless, specific pre-defined order of ASYN-MPA scheme not always...
The application of multiple-input multiple-output (MIMO) technique to sparse code multiple access (SCMA) systems is important enhance the system performance future fifth generation wireless networks. However, one challenges in design downlink MIMO-SCMA developing near-optimum bit error rate (BER) detectors with affordable computational costs. To achieve this goal, we construct a joint graph combining single MIMO channels and SCMA codewords, then corresponding virtual codebooks for detector....
One of the challenges in design sparse code multiple access systems is developing low-complexity detectors. To achieve this goal, we propose a novel detector based on an edge selection approach, which remarkably reduces computational complexity. First, proposed applies adaptive Gaussian approximation to unselected edges that have smaller modulus channel coefficients, basis different qualities. As result, original factor graph can be simplified. In addition, mean and variance feedback...
Automatic modulation recognition (AMR) has been considered as an efficient technique for non-cooperative communication and intelligent communication. In this work, we propose a modified transformer-based method AMR, called frame-wise embedding aided transformer (FEA-T), aiming to extract the global correlation feature of signal obtain higher classification accuracy well lower time cost. To enhance modeling capability transformer, design module (FEM) aggregate more samples into token in stage...
A novel detect-and-forward (DeF) relaying aided cooperative SM scheme is proposed, which capable of striking a flexible tradeoff in terms the achievable bit error ratio (BER), complexity and unequal protection (UEP). More specifically, invoked at source node (SN) information stream divided into two different sets: antenna index-bits (AI-bits) as well amplitude phase modulation-bits (APM-bits). By exploiting importance AI-bits APM-bits detection, we propose three low-complexity, yet powerful...
Generalized spatial modulation (GSM) is a recently proposed appealing multi-input multi-output (MIMO) transmission technique, which capable of striking tradeoff between the achievable rate and cost radio frequency (RF) chains. In this letter, novel low-complexity near-optimal soft decision (SoD)-aided detector for GSM, considerably reduces search space by employing block minimum mean-squared error (B-MMSE) algorithm. Our simulation results show that achieving better bit-error-rate (BER)...
Orthogonal frequency division multiplex/offset QAM (OFDM/OQAM) has been proven to be a promising multi-carrier modulation (MCM) technique for the transmission of signals over multipath fading channels. However, OFDM/OQAM also intrinsic disadvantage high peak-to-average-power ratio (PAPR) that should alleviated. In this paper, novel selective mapping (SLM) method is proposed system. Since pulse shape may cover few OFDM symbols, basic principle apply SLM in range most relevant symbols....
Sparse code multiple access (SCMA), which is a novel non-orthogonal access, has been proposed to address the challenges of massive connectivity and higher spectral efficiency for fifth generation mobile network. Among existing message passing algorithm (MPA)-based multiuser detection schemes SCMA systems, serial scheduling strategy, where messages are updated sequentially, generally converges faster than parallel variant, all in manner. Nevertheless, ascending order strategy not always best...
In this paper, a pair of novel frequency domain equalizers for broadband single-carrier (SC) spatial modulation (SM) systems over dispersive channels are proposed by integrating with the concept generalized approximate message passing (GAMP). Specifically, we first propose GAMP-aided turbo equalizer (FDTE-GAMP) operating on vector-by-vector basis, which exploits linear mixing channel structure composed matrix and fast Fourier transforms. design detector, non-Gaussian property transmitted SM...
In the field of military communications, electromagnetic interference has posed a serious threat to wireless communication systems, and recognition (WIR) is considered as one most indispensable steps defend against adversarial attacks for anti-interference communication. Following success in advancing many disciplines, deep learning (DL) brings revolutionary changes WIR. However, conventional DL-based methods only use single domain information signals, such time or frequency domain,...
In this letter, an efficient detection scheme is proposed to mitigate the effect of carrier frequency offset (CFO) in spatial modulation orthogonal division multiplexing (SM-OFDM) systems. Specifically, employs a novel symbol-by-symbol-aided iterative detector SM-OFDM systems with multiple CFOs, where zero symbols are considered as constellation points. Simulation results demonstrate that capable effectively mitigating CFOs and providing about considerable system performance improvement...
Wireless interference identification (WII) is one of the most promising technologies in anti-interference communication systems and non-cooperative systems. Recently, deep learning (DL) based methods have achieved striking performance for WII. However, existing works not researched hardware-friendly network quantization WII, which essential deploying model on resource-constrained devices. In this letter, we optimize binarized neural networks (BNNs) are extreme form by constraining weights...
In this paper, a new time-domain soft-decision feedback (TDSDF) aided frequency domain turbo equalizer (FDTE) is proposed for broadband single-carrier (SC) spatial modulation (SM) systems. Specifically, the operates on frame-by-frame basis and designed based minimum block-averaged mean-square error (MBMSE) criterion. To tackle propagation problem, metric in consideration of reliability information considered. The optimal coefficients forward filters involved TDSDF-FDTE design are derived...
In this letter, we present a novel low-complexity multiuser detection for sparse code multiple access systems, combined message passing algorithm (MPA), and the compressed sensing (CS) technique, referred to as CS-aided MPA detector. Specifically, detector is divided into two-step procedure, i.e., initial error correction. first step, with few iterations employed detection. second based on observation that symbol produced by tends be sparse, propose CS-based greedy pursuit algorithm, called...
Wireless interference identification (WII) is a promising technology for non-cooperative communication systems in both civilian and military scenarios. With the rapid development of artificial intelligence, deep learning (DL) based WII methods have been proposed. However, existing networks on DL do not adaptive ability, this situation may cause waste computing resources. In paper, we propose novel Multi-Depth Adaptive Network (MDANet), it can adaptively determine forward propagation depth...
In this paper, a new class of soft-decision feedback aided time-domain turbo equalizer (TDTE) based on the minimum mean-square error criterion is proposed for broadband single-carrier (SC) generalized spatial modulation (GSM) systems. First, (TDSDF) TDTE proposed, which operates vector-by-vector basis. order to provide flexible tradeoff between complexity and performance, time-invariant filter coefficients are derived low-complexity approximate solution TDSDF-TDTE. Furthermore, soft-feedback...
Fast frequency hopping (FFH) is a powerful antijamming method. Nevertheless, channel estimation in FFH difficult issue and even once was deemed impractical. over fading channels usually adopts noncoherent schemes that suffer from combination loss low spectral efficiency. To address these issues, this letter, we propose subset-based coherent (S-CFFH) scheme. The proposed scheme partitions the set into number of subsets. By controlling size subset, ensure each hopped recurs within coherence...