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This paper investigates the ergodic capacity of a multi-input multi-output (MIMO) wireless powered communication system with partial channel state information at the power beacon (PB). Employing time splitting protocol, the PB first transmit energy-bearing signals to the energy constrained source S through beamforming, and then S uses this energy to transmit information to the destination. Unlike...
This paper proposes a novel beam domain peak-to-average power ratio (PAPR) reduction scheme, named idle beam exploitation (IBE), in multi-beam systems, i.e., massive multi-input multi-output (MIMO) downlink based on angle division multiple access (ADMA) here. To some extent, PAPR consideration in multi-beam systems is similar to that in multi-carrier systems, and PAPR reduction methods in multi-beam...
In this paper, we propose a novel Vandermonde decomposition-based direction-of-arrival (DOA) estimation algorithm by using a coprime array, where increased number of degrees-of-freedom (DOFs) can be achieved in an off-grid manner. Specifically, the equivalent statistics corresponding to an augmented virtual uniform linear array are first derived from the coprime array received signals, and the resulting...
Pilot contamination attack is an important kind of active eavesdropping activity conducted by a malicious user during channel training phase. In this paper, motivated by the fact that frequency asynchronism could introduce divergence of the transmitted pilot signals between intended user and attacker, we propose a new uncoordinated frequency shift (UFS) scheme for detection of pilot contamination...
In this study, we present a novel analytical approach for robustness on Erdos-Renyi (ER) networks by introducing statistical physics method. We establish an exact mapping relation between ER networks and Ising model. Based on the mapping relation, we obtain the partition function of the ER networks and use it to determine the size of the giant component and the value of the critical edge present probability...
This paper addresses the optimized tracking cooperative control problem for multi-agent systems with periodic sampling and directed communication topology via robust model predictive control approach. The proposed optimized tracking cooperative control strategy relaxes the assumptions in existing works that the control gain and the local input must be continuous and the states information exchange...
This paper considers a multipair amplify-and-forward massive MIMO relaying system with low-resolution ADCs at both the relay and destinations. The channel state information (CSI) at the relay is obtained via pilot training, which is then utilized to perform simple maximum-ratio combining/maximum-ratio transmission processing by the relay. Also, it is assumed that the destinations use statistical CSI...
We propose a mathematical framework for synthesizing motion plans for multi-agent systems that fulfill complex, high-level and formal local specifications in the presence of inter-agent communication. The proposed synthesis framework consists of desired motion specifications in temporal logic (STL) formulas and a local motion controller that ensures the underlying agent not only to accomplish the...
Modern manufacturing systems are human robot systems that consist of human operators and intelligent robots collaborating with each other to accomplish complex tasks. The system performance of such human robot systems relies heavily on reliable and efficient human robot collaborations, which may be seriously compromised due to temporal variations in human to robot trust. This paper proposes to model...
A visual summary of the controversial aspects of an item enables both customers and marketers to identify and address complaints and concerns about the item effectively. In this paper, we propose a novel visual analytics system, to visually explore when a controversy occurs and the causes behind the controversy via user-generated reviews with text and ratings in various domains, such as restaurants,...
Integrated Task and Motion Planning (ITMP) for mobile robots becomes a new trend. Most existing methods for ITMP either restrict to static environments or lack performance guarantees. This motivates us to use formal design methods for mobile robots ITMP in a dynamic environment with moving obstacles. Our basic idea is to synthesize a global integrated task and motion plan through composing simple...
In this paper, we study the optimum sensing of a time-varying random event with a sensor powered by energy harvesting devices. The system aims at reconstructing a band-unlimited continuous-time random process by using discrete-time samples collected by a sensor. Due to the random nature of the harvested energy, the sensor might not have sufficient energy to perform a sensing operation at a desired...
We propose an assume-guarantee reasoning (AGR) framework for verification problem of a system with two components modeled by Markov Decision Process (MDP) and Partially Observable MDP (POMDP), respectively. MDP-POMDP model describes system's sensing, actuation and environment uncertainties, which can be used in the modeling of systems containing different subsystems, e.g., human-robot collaboration...
The paper proposes a fault-tolerant control strategy for a two-phase permanent magnet synchronous motor (PMSM) by a structural alteration. Firstly, a two-phase PMSM is designed with a structure of combination with two conventional single-phase U-core PMSMs. Each has a self-start ability because of the step air gap design on the inner side of stator, and two sets of magnet in the motor are placed as...
In dense mobile communication systems, time efficiency is a vital demand for resource allocation (RA), as well as inter-cell interference coordination (ICIC), due to the fact that the scale of RA optimization is extremely large. Existing optimization schemes, such as Hungarian algorithm, are too time-consuming to reach an optimal solution, which does not fit for RA in dense scenarios. In this paper,...
The extensive use of sensors and communication devices in smart grid has greatly increased the quantity of surge protection devices (SPDs). Meanwhile, it puts forward higher requirements for the informatization level of monitoring and maintenance of SPDs. In order to realize the intelligent management of SPDs, the SPDs real-time monitoring system for the smart grid is developed. Specifically, the...
This paper using vector diagram illuminates the operation principle of vector synthesis predistortions and proves they can control amplitude modulation to amplitude modulation (AM/AM) and amplitude modulation to phase modulation (AM/PM) separately. A vector synthesis predistortion linearizer is designed to verify this thought and the results show the correctness of this thought.
With the development of smart grid, higher requirements have been put forward on information transmission and feedback ability, which leads to continuous increase of all sorts of communication equipment in smart grid. In order to ensure the safe and stable operation of the communication devices,the test of the overvoltage tolerance level is necessary. This paper researches an overvoltage test system...
In recent years, many constraint-handling techniques maintaining infeasible individuals in the population have demonstrated their effectiveness for solving constrained optimization problems. Generally, the effective utilization of the potential of the infeasible individuals will improve the performance of the algorithms. This paper proposes an approach based on decomposition for constrained multi-objective...
The permanent magnet synchronous linear motor (PMSLM) has increasingly been used in a wide range of commercial and industrial applications, while Low force ripple of the PMSLM is an essential requirement. This paper presents three effective design approaches for the force ripple minimization, with particular emphasis to the detent force reduction and Back-EMF standardization, which are the two critical...
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