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Considering a small-scale fading environment in a dense random wireless network, we investigate the impact of the carrier-sensing threshold on the link performance under the premise of a fixed carrier-sensing range. At first, we assume a close transmitter-receiver distance and model the network nodes as a homogeneous Poisson point process (PPP). Then we present a simple analysis model of the conditional...
Traditional power allocation algorithms in heterogeneous networks (HeNets) are given under the assumption of perfect channel state information (CSI). However, the perfect CSI is difficult to obtain due to the efficiency of channel fading and feedback delays. In this paper, a robust power allocation algorithm is proposed to minimize the total transmit power of femtocell users under the constraints...
This paper investigates the joint power and admission control problem for a multi-pair massive multiple-input multiple-output (MIMO) amplify-and-forward relaying system. Our aim is to minimize the total transmit power for users while maximizing the number of supported users by adopting the new linear programming deflation (NLPD) algorithm. Here, the removal strategy of the NLPD algorithm is compared...
In order to improve the spectrum utilization rate of Device-to-Device (D2D) communication, we study the hybrid resource allocation problem, which allows both the resource reuse and resource dedicated mode to work simultaneously. Meanwhile, multiple D2D devices are permitted to share uplink cellular resources with some designated cellular user equipment (CUE). Combined with the transmission requirement...
This paper addresses the robust beamforming design for a downlink cloud radio access network (cloud RAN) subject to per-base-station (BS) power constraint and individual signal-to-interference-plus-noise ratio (SINR) requirements. Our objective is to minimize the overall network power and backhaul cost while guaranteeing the users' SINR constraints for every channel realization by designing the joint...
Device-to-device (D2D) communication has been proposed as a solution for vehicle-to-vehicle (V2V) communication, which has strict requirements on reliability and latency. Previous works on V2V communication typically assume single-antenna users, which ignore the potential of multiple antennas. By contrast, this paper studies an uplink power control problem in multi-antenna V2V underlay cellular networks...
In this paper, a non-orthogonal multiple access cognitive radio network with simultaneous wireless information and power transfer is studied under a practical non-linear energy harvesting model. A multi-objective optimization problem(MOOP) is formulated to maximize the harvesting power of each energy harvesting receiver. This problem is non-convex and challenging to be solved. The weighted Tchebycheff...
In vehicle-to-vehicle (V2V) communication underlaying cellular networks, interference between cellular users (CUEs) and V2V users (VUEs) can be severe. To address this issue, many studies focused on designing resource allocation schemes to mitigate uplink interference. Most of them investigated the instantaneous resource allocation. In this paper, however, we consider a highway scenario where CUEs'...
A simple multi-service radio over fiber (RoF) system to simultaneously transmit frequency-doubling vector signal (FDVS) and low-radiofrequency signal (LRS) in a single wavelength is proposed. At the center office (CO), an integrated dual-parallel Mach-Zehnder modulator is utilized to implement double-sideband modulation with carrier (DSB+C) for the LRS and the carrier-suppressed double-sideband modulation...
This paper analyzes secrecy outage probability (SOP) of underlay cognitive radio systems (UCRSs) interfered by signals from primary networks, impaired by channel information inaccuracy and Rayleigh fading, constrained by peak transmit power and tolerable interference power. The analytical result is presented in an exact expression and corroborated by computer simulations. Multiple results illustrate...
GPU-based clusters are widely chosen for accelerating a variety of scientific applications in high-end cloud environments. With their growing popularity, there is a necessity for improving the system throughput and decreasing the turnaround time for co-executing applications on the same GPU device. However, resource contention among multiple applications on a multi-tasked GPU leads to the performance...
Conventional studies on human behavior recognition have mainly focused on individual actions, including facial expressions and postures. However, most human behavior involves face-to-face interactions with other humans or objects, such as PCs. The previous work on recognizing face-to-face interaction focused on recognition of each group of humans engaged in conversation in an open space, which is...
To identify the attended speaker from single-trial EEG recordings in an acoustic scenario with two competing speakers, an auditory attention decoding (AAD) method has recently been proposed. The AAD method requires the clean speech signals of both the attended and the unattended speaker as reference signals for decoding. However, in practice only the binaural signals, containing several undesired...
The paper analyzes the common-source digital upsets process characterized by using multi-dimensional hidden Markov model (MDHMM) which is used to simulate digital upsets. The digital upsets are generated from the artificial environments operating on the distributed redundant processing controllers. The main contribution of this paper is to characterize the correlated digital upsets relationship generated...
In this study, the resource blocks (RB) are allocated to user equipment (UE) according to the evolutional algorithms for long term evolution (LTE) systems. Particle Swarm Optimization (PSO) algorithm is one of the evolutionary algorithms, based on the imitation of a flock of birds foraging behavior through learning and grouping the best experience. Therefore, we propose a Simple Particle Swarm Optimization...
In case of the decision of the task of design of automated control systems for crucial objects, a minimum possible level of risks at uncontrollable interference in the processes of functioning of these systems, and also minimization of negative consequences from a similar interference in the course of its operation are required. In connection with this, on the basis of the system theory of conflict...
Multiple SDN applications can make several harmful interferences unintentionally, although each individual application may be properly developed. This paper proposes a Multiple SDN Applications Interference Detector (MSAID). To bridge the gap between the source code of applications and the actual interferences, we leverage symbolic execution and constraint solving to obtain how the event handler handles...
One of the most important factors affecting the quality of service (QoS) in orthogonal frequency division multiple access (OFDMA) networks is the intercell interference (ICI). An efficient technique for mitigating ICI is the well-known fractional frequency reuse (FFR), wherein cells are partitioned into center and edge spatial regions and different frequency reuse factors are applied to both of them...
Imaging with random sensing functions may afford novel measurement geometries that circumvent constraints of conventional point-by-point imaging architectures. Here we demonstrate imaging of axial reflectivity profiles using random temporal-spatial encoding created by modal interference in a multimode fiber.
This paper proposes an integrated visible light communication and positioning (VLCP) system using filter bank multicarrier-based subcarrier multiplexing. Simulation results show that the proposed VLCP system achieves higher positioning accuracy and better bit error rate performance than the VLCP system using conventional orthogonal frequency division multiplexing-based subcarrier multiplexing.
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