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By adopting multiple-input multiple-output (MIMO) technique, the spectral efficiency and data rate of wireless communication systems can be highly improved. To fully take the advantages of MIMO, belief prorogation (BP) detection methods are considered as a way in balancing the hardware complexity and error performance. Also with BP methods, polar code, which has been adopted by 3GPP eMBB control channel,...
As an alternative to classical multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM), MIMO-OFDM with index modulation (MIMO-OFDM-IM), which provides a flexible trade-off between spectral efficiency and error performance, has attracted considerable interest recently. However, in order to detect the active subcarrier indices and modulated symbols precisely, the receiver...
In this paper, we propose different techniques for message passing and event-driven communication among hierarchically organized objects. Proposed techniques are suitable for dynamic tree-structured applications, where application entities are organized in a tree and added to it in run time. Examples of such applications are modeling and simulation tools where application objects often follow parent-child...
Low-density parity-check (LDPC) coded massive multiple-input and multiple-output (MIMO) scheme is getting increasingly popular and sophisticated in today's wireless communication systems, since it can highly improve the spectral efficiency, data rates, and error performance. In this paper, a novel iterative detection and decoding (IDD) method for LDPC-coded massive MIMO systems is proposed. Based...
Modeling and simulation have shown essential for forecasting load and resource availability in large-scale complex scenarios. The growth of urban environments, as well as the use of ICT in enabling applications and services, has encouraged several works on the modeling of transportation. High mobility of vehicles in such a context consists of a significant challenge in modeling traffic. Several microscopic...
It is well known that the maximum likelihood (ML) algorithm is characterized by their complexity, which is very high. This paper presents a low-complexity semi-blind algorithm to jointly estimating the Carrier Frequency Offset (CFO) and channel based on oversampling in the receiving part for an Orthogonal Frequency Division Multiplexing (OFDM) system. The idea is to substitute the exponential term...
This paper introduces a framework for super-resolution of scalable video based on compressive sensing and sparse representation of residual frames in reconnaissance and surveillance applications. We exploit efficient compressive sampling and sparse reconstruction algorithms to super-resolve the video sequence with respect to different compression rates. We use the sparsity of residual information...
The utilization of millimeter wave (mmWave) frequency has shown great potential in developing the next-generation wireless systems. Conventional fully digital precoding which needs one radio frequency (RF) chain per antenna is impractical in large-scale mmWave systems because of the high hardware complexity, power consumption and cost. In this paper, we propose a scheme with hybrid precoding at the...
Antenna selection is a promising solution to reduce the system cost, specially for Massive MIMO systems with large scale antennas. In this paper, we consider the antenna selection problem of uplink in such MIMO system. Exact closed-form expression of this problem based on instantaneous capacity is derived. We first adopt a low complexity method with a dynamic selection coefficient. This method preserves...
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,...
An electro-optic chaos generator is proposed based on phase modulation to intensity modulation conversion and an analog-digital hybrid feedback loop. The analog part takes the digital sequences from shift registers as input and converts them into analog noise like signal, from which new bits are determined. The effective bandwidth and complexity of the output analog signal can reach a high level with...
Cyber-Physical Systems (CPS) are composed of computation, networking, and physical processes. Model-based design is a powerful technique to apply mathematical modeling in CPS design. A model of a physical system is the description of variations in some aspects and properties of the system such as motion, velocity, and pressure. The variations of physical quantities such as motion, velocity, and pressure...
In this paper we consider the problem of identifying intersections between two sets of d-dimensional axis-parallel rectangles. This is a common operation that arises in many agent-based simulation studies, and is of central importance in the context of High Level Architecture (HLA), where it is at the core of the Data Distribution Management (DDM) service. Several realizations of the DDM service have...
The method of analytic combinatorics (AC) is a unified approach to multiple object tracking that encodes joint probability distributions into probability generating functionals (PGFLs). PGFLs characterize distributions exactly. A high level view of the tracking applications of PGFLs is outlined in this paper. Assignment models in well-known filters are modeled as products of PGFLs. MHT and multiBernoulli...
It is recognized that systems are the most complicated entities in abstract, physical, information, cognitive, brain, and social worlds across a wide range of science and engineering disciplines. This paper presents a theory of distributed system topologies and adaptive fusion mechanisms. It reveals that structural and functional relations play a centric role in system behavior modeling. A special...
As the emerging development of IoT circumstance, on-line detections or observations of a system states become easier by facilitating its corresponding multi-sensory responses, and thus the description of a system behavior becomes clearer. Abundant on-line multi-channel information from the embedded sensors would be advantageous to the understanding of the system. Though having the information, it...
Medical search technologies are crucial to enable the user to rapidly and effectively discover useful information from massive medical and clinical data. Because of the complexity of medical terminology, traditional information search methods have not fully expressed the intention of the query request and explored the potential semantic knowledge in the document. In this paper, we propose a multi-analysis...
An active queue management controller based on Hamiltonian energy theory for a class of nonlinear TCP network congestion system in the p resence of uncertain parameters and unknown external disturbances is derived. The restriction of inequality assumption is eliminated by introducing the MiniMax methods into dissipation Hamilton system. Sufficient conditions for the existence of MiniMax controller...
The latest video compression standards, such as the H.264/AVC and the High Efficiency Video Coding (HEVC), provide fast Motion Estimation (ME) algorithms in their reference software aiming at complexity reduction. Test Zone Search (TZS) is the state-of-the-art fast ME algorithm, currently deployed in the reference HEVC encoder due to its great coding efficiency. However, ME is still one of the main...
Data storage in cloud should come along with high safety and confidentiality. It is accountability of cloud service provider to guarantee the availability and security of client data. There exist various alternatives for storage services but confidentiality and complexity solutions for database as a service are still not satisfactory. Proposed system gives alternative solution for database as a service...
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