- Advanced Wireless Communication Technologies
- Advanced MIMO Systems Optimization
- Cooperative Communication and Network Coding
- Millimeter-Wave Propagation and Modeling
- Indoor and Outdoor Localization Technologies
- Full-Duplex Wireless Communications
- Advanced Antenna and Metasurface Technologies
- Advanced Wireless Communication Techniques
- Optical Wireless Communication Technologies
- Satellite Communication Systems
- PAPR reduction in OFDM
- Energy Harvesting in Wireless Networks
- Telecommunications and Broadcasting Technologies
- Sparse and Compressive Sensing Techniques
- Underwater Vehicles and Communication Systems
- Microwave Engineering and Waveguides
- Error Correcting Code Techniques
- Blind Source Separation Techniques
- Wireless Signal Modulation Classification
- IoT Networks and Protocols
- Underwater Acoustics Research
- CCD and CMOS Imaging Sensors
- Bacterial Infections and Vaccines
- Kawasaki Disease and Coronary Complications
- Cavitation Phenomena in Pumps
Tsinghua University
2012-2022
Beijing Tsinghua Chang Gung Hospital
2022
National Engineering Research Center for Information Technology in Agriculture
2019
Conventional non-orthogonal multiple access (NOMA) schemes assume perfect channel state information (CSI) at the transmitter side, which is nearly impractical for many communication scenarios. Instead, this letter considers a practical downlink NOMA system in Nakagami-m fading channels, of only knows statistical CSI associated with each user. We analyze outage performance proposed and derive closed-form formulation user's probability. Moreover, based on CSI, can optimize system's sum...
Deep learning has a wide application in the area of natural language processing and image due to its strong ability generalization. In this paper, we propose novel neural network structure for jointly optimizing transmitter receiver communication physical layer under fading channels. We build up convolutional autoencoder simultaneously conduct role modulation, equalization, demodulation. The proposed system is able design different mapping scheme from input bit sequences arbitrary length...
The application of hybrid precoding in millimeter wave (mm-wave) multiple-input multiple-output (MIMO) systems has been proven effective for reducing the number radio frequency (RF) chains. However, maximum independent data streams is conventionally restricted by RF chains, which limits spatial multiplexing gain. To further improve achievable spectral efficiency (SE), this paper we propose a generalized modulation aided mmwave MIMO system to convey an extra stream via index active antennas...
As the conventional spatial modulation (SM) system lacks an efficient downlink multiple access scheme, this paper proposes a novel nonorthogonal aided multiple-input multiple-output SM with unite alphabet inputs. Mutual information (MI) is used to characterize system's achievable spectral efficiency (SE). Because MI closed-form formulation, in we propose computational-efficient lower bound provide approximation simulated MI. Besides, preprocessing also designed at receiver mitigate...
In this letter, an angle domain off-grid channel estimation algorithm for the uplink millimeter wave (mmWave) massive multiple-input and multiple-output systems is proposed. By exploiting spatial sparse structure in mmWave channels, proposed method capable of identifying angles gains scatterer paths. Comparing conventional methods systems, achieves better performance terms mean square error. Numerical simulation results are provided to verify superiority algorithm.
Massive spatial modulation aided multiple-input multiple-output (SM-MIMO) systems have recently been proposed as a novel combination of (SM) and conventional massive MIMO, where the base station (BS) is equipped with large number antennas simultaneously serves multiple user equipment (UE) that employ SM for their uplink transmission. Since SM-MIMO concept combines benefits both MIMO techniques, it has attracted substantial research interest. In this paper, we study achievable spectral...
The concept of generalized spatial modulation (GenSM) aided millimeter wave (mm-wave) multiple-input multiple-output (MIMO) has recently attracted substantial research interest, as it benefits from the large bandwidth mm-wave MIMO, while maintaining a reduced number radio frequency (RF) chains. However, due to lack precoding design, preceding GenSM-aided MIMO schemes suffered severe performance loss. Inspired by reduced-RF-chain structure making implementation cost low benefit GenSM, in this...
In this letter, a novel spatial modulation aided non-orthogonal multiple access (SM-NOMA) system is proposed. We use mutual information (MI) to characterize the achievable spectral efficiency (SE) of proposed SM-NOMA system. Due finite-alphabet space-domain inputs employed by SM, expression corresponding MI lacks closed-form formulation. Hence, lower bound quantify Furthermore, its asymptotic property also theoretically investigated in both low and high signal-to-noise ratio regions. The SE...
Generalized spatial modulation (GenSM) aided millimeter wave (mmWave) multiple-input multiple-output (MIMO) has recently received substantial academic attention. However, due to the insufficient exploitation of transmitter's knowledge channel state information, achievable rates state-of-the-art GenSM-aided mmWave MIMO systems are far from being optimal. Against this background, a novel analog precoding scheme is proposed in paper improve spectral efficiency (SE) conventional MIMOs. More...
Generalized space shift keying (GSSK), as one simplified version of spatial modulation (SM), has attracted plenty interest in the study large-scale multiple-input multiple-output (MIMO). In this letter, we propose a low-complexity symbol detector for GSSK based on ℓ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> minimization. Via bijective transformation, detection can be converted into reconstruction binary symbol, which entries are...
The combination of millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems and index modulation (IM) technique has recently constituted a novel form mmWave hybrid beamforming. Numerous studies have been conducted to show that such system the potential outperform conventional mmWave-MIMOs with respect spectral efficiency (SE). Most current works focused only on designing beamforming structures empirically achieve higher SE performance. However, fundamental question whether IM...
Spatial modulation (SM) has recently attracted plenty of academic interest due to its low complexity and high energy efficiency. However, the performance SM transmission in dispersive channels is still limited strong intersymbol interference (ISI) caused by frequency-selective fading. In this paper, we propose a novel priori information-aided iterative equalization scheme for single-carrier (SC-SM) systems. Unlike conventional schemes SC-SM, proposed receiver manages utilize soft information...
Channel estimation for underwater acoustic (UWA) channels in orthogonal frequency division multiplexing (OFDM) systems is one of the most difficult problems UWA communications. Because are both frequency-selective and time-selective, total number channel coefficients to be estimated will significantly increase. Besides, fast time-varying characteristics strong Doppler effects deteriorate orthogonality between OFDM subcarriers cause inter-carrier interference (ICI). To handle these problems,...
The paper presents a prototype ASIC (CASCA: Charge Amplifier with Switched Capacitor Array) for TPC based X-ray Polarimeter (XTP). It measures two dimensional photoelectron tracks generated by the incident photons one strip readout. other dimension is calculated drift time from signal waveform. In order to achieve 100 μm track resolution fine pitch strips are used, requiring high density readout electronics 20 MSPS waveform sampling capability. CASCA integrates 32 channel full function...
The idea of combining spatial modulation (SM) with massive multiple-input multiple-output (MIMO) system, i.e. SM-MIMO, has recently attracted plenty academic interest, as it could simultaneously harness the advantages SM and MIMO. However, spectral efficiency (SE) analysis for SM-MIMO is still lack exploring. To this end, a novel SE expression derived in paper to provide tight lower bound systems, which impacts imperfect channel estimation random user locations are all accounted for. new...
In this paper, spatial modulation (SM) is introduced to layered division multiplexing (LDM) systems for enlarging the spectral efficiency (SE) over broadcasting transmission. First, SM aided LDM (SM-LDM) system proposed, in which different services utilize terrestrial transmission with power levels. Then a SE analysis framework SM-LDM suitable linear combining. Moreover, closed-form lower bound of maximum ratio combining (MRC) derived, based on framework. Since theoretical single transmit...
The concept of massive spatial modulation aided multiple-input multiple-output (SM-MIMO) systems, where the base station (BS) is equipped with a large number antennas and simultaneously serves several multi-antenna users that employ SM for their uplink transmission, has recently attracted substantial research interest. In this paper, we investigate bandwidth efficiency (BE) single-cell SM-MIMO derive new BE lower bound when BS employs maximum ratio combining user detection. proposed takes...
In this paper, we introduce spatial modulation (SM) in the layered division multiplexing (LDM) system for digital TV scenarios. To analyze achievable spectral efficiency (SE) performance of proposed SM-LDM system, calculate its mutual information (MI) through Monte Carlo method. Considering both Gaussian and finite alphabet inputs, derive MI's computational-efficient lower bounds as well their asymptotic values. Simulation results confirm advantages our SE analysis system.
Extended spatial modulation (ESM) is proposed as a novel scheme in this paper. design where the number of active antennas can be various. The data rate could improved more symbols are available for transmitting and thus information bits modulated during each time slot. minimum distance transmitted also further maximized optimizing selection which improves symbol error performance. Moreover, near-optimal detection with low complexity An approximated analytical expression probability (SEP)...
Recently the combination of massive multiple-input multiple-output (MIMO) and spatial modulation (SM), has been considered as a promising concept for uplink transmission, in which each user equipment (UE) uses SM transmission base station (BS) is equipped with antennas. In this paper, we evaluate single-carrier (SC) SM-MIMO system frequency domain equalization, where SC combined (SC-SM) to combat negative impact broadband frequency-selective fading, equalization utilized mitigate...
Generalised spatial modulation (GSM) is extended from the concept of (SM). Due to its superior energy efficiency classical multiple-input multiple-output (MIMO) techniques, GSM has attracted plenty interest under study large-scale MIMO systems. In this paper, we propose a low-complexity symbol detector for based on framework sparse Bayesian learning (SBL), which effectively recovers symbols by exploiting inherent sparsity property GSM. Compared other sparsity-based detectors, e.g., detectors...
The emerging of millimeter wave (mmWave) communications has been widely predicted to revolutionize the traditional communications. On one hand, large bandwidth provided by mmWave is orders magnitudes larger than that current microwave communications, which therefore supports much higher throughput as well massive connectivity. other small wavelength signals facilitates application antennas, thus benefiting from powerful multiple-input multiple-output (MIMO) beamforming and MIMO signal...
Deep Learning has a wide application in the area of natural language processing and image due to its strong ability generalization. In this paper, we propose novel neural network structure for jointly optimizing transmitter receiver communication physical layer under fading channels. We build up convolutional autoencoder simultaneously conduct role modulation, equalization demodulation. The proposed system is able design different mapping scheme from input bit sequences arbitrary length...
Flat-fading channel models are usually invoked for analyzing the performance of massive spatial modulation multiple-input multiple-output (SM-MIMO) systems. However, in context broadband SM transmission, severe inter-symbol-interference (ISI) caused by frequency-selective fading channels can not be ignored, which leads to very detrimental effects on achievable system performance, especially single-carrier (SC-SM) transmission schemes. To best author's knowledge, none previous researchers...
Spatial modulation (SM) is a scheme that exploits the spatial dimension of multiple-input multiple-output (MIMO) channels to encode transmitted information. It shown in this paper that, by properly rotating phase symbols, minimum Euclidean distance (MED) constellation received symbols can be enlarged and hence error performance improved. Moreover, we propose an algorithm incorporates iteration process design phase-only pre-scaling factors, which only rotate phases different according...