6,340 research outputs found

    Analysis of Device-to-Device Communications in Uplink Cellular Networks with Lognormal Fading

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    In this paper, using the stochastic geometry theory, we present a framework for analyzing the performance of device-to-device (D2D) communications underlaid uplink (UL) cellular networks. In our analysis, we consider a D2D mode selection criterion based on an energy threshold for each user equipment (UE). Specifically, a UE will operate in a cellular mode, if its received signal strength from the strongest base station (BS) is large than a threshold \beta. Otherwise, it will operate in a D2D mode. Furthermore, we consider a generalized log-normal shadowing in our analysis. The coverage probability and the area spectral efficiency (ASE) are derived for both the cellular network and the D2D one. Through our theoretical and numerical analyses, we quantify the performance gains brought by D2D communications and provide guidelines of selecting the parameters for network operations.Comment: conference submissio

    Optimum Interference Management in Underlay Inband D2D-Enhanced Cellular Networks

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    For device-to-device (D2D) communications underlaying a cellular network with uplink resource sharing, both cellular and D2D links cause significant co-channel interference. In this paper, we address the critical issue of interference management in the network considering a practical path loss model incorporating both line-of-sight (LoS) and non-line-of-sight (NLoS) transmissions. To reduce the severe interference caused by active D2D links, we consider a mode selection scheme based on the maximum received signal strength (MRSS) for each user equipment (UE) to control the D2D-to-cellular interference. Specifically, a UE will operate in a cellular mode, only if its received signal strength from the strongest base station (BS) is larger than a threshold beta; otherwise, the UE will operate in a D2D mode. Furthermore, we analyze the performance in terms of the coverage probability and the area spectral efficiency (ASE) for both the cellular network and the D2D one. Analytical results are obtained and the accuracy of the proposed analytical framework is validated through Monte Carol simulations. Through our theoretical and numerical analyses, we quantify the performance gains brought by D2D communications in cellular networks and we find an optimum mode selection threshold beta to maximize the total ASE in the network

    What determines the observational differences of blazars?

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    We examine the scenario that the Doppler factor determines the observational differences of blazars in this paper. Significantly negative correlations are found between the observational synchrotron peak frequency and the Doppler factor. After correcting the Doppler boosting, the intrinsic peak frequency further has a tightly linear relation with the Doppler factor. It is more interesting that this relation is consistent with the scenario that the black hole mass governs both the bulk Lorentz factor and the synchrotron peak frequency. In addition, the distinction of the kinetic jet powers between BL Lacs and FSRQs disappears after the boosting factor Ξ΄2\delta^2 is considered. The negative correlation between the peak frequency and the observational isotropic luminosity, known as the blazar sequence, also disappears after the Doppler boosting is corrected. We also find that the correlation between the Compton dominance and the Doppler factor exists for all types of blazars. Therefore, this correlation is unsuitable to examine the external Compton emission dominance.Comment: 15 pages, 6 figures, 1 tabl

    Effect of spectral index distribution on estimating the AGN radio luminosity function

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    In this paper, we scrutinize the effect of spectral index distribution on estimating the AGN (active galactic nucleus) radio luminosity function (RLF) by a Monte Carlo method. We find that the traditional bivariate RLF estimators can cause bias in varying degree. The bias is especially pronounced for the flat-spectrum radio sources whose spectral index distribution is more scattered. We believe that the bias is caused because the KK-corrections complicate the truncation boundary on the Lβˆ’zL-z plane of the sample, but the traditional bivariate RLF estimators have difficulty in dealing with this boundary condition properly. We suggest that the spectral index distribution should be incorporated into the RLF analysis process to obtain a robust estimation. This drives the need for a trivariate function of the form Ξ¦(Ξ±,z,L)\Phi(\alpha,z,L) which we show provides an accurate basis for measuring the RLF.Comment: 8 pages, 4 figures, Accepted for publication in Ap

    Construction of three classes of Strictly Optimal Frequency-Hopping Sequence Sets

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    In this paper, we construct three classes of strictly optimal frequency-hopping sequence (FHS) sets with respect to partial Hamming correlation and family size. The first class is based on a generic construction, the second and third classes are based from the trace map

    A mixture evolution scenario of the AGN radio luminosity function

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    We propose a mixture evolution scenario to model the evolution of the radio luminosity function (RLF) of steep spectrum AGNs (active galactic nuclei) based on a Bayesian method. In this scenario, the shape of the RLF is determined by both the density and luminosity evolution. Our models indicate that the density evolution is positive until a redshift of ∼0.9\thicksim 0.9, at which point it becomes negative, while the luminosity evolution is positive to a higher redshift (z∼5z \thicksim 5 for model B and z∼3.5z \thicksim 3.5 for model C), where it becomes negative. Our mixture evolution model works well, and the modeled RLFs are in good agreement with previous determinations. The mixture evolution scenario can naturally explain the luminosity-dependent evolution of the RLFs.Comment: 7 pages, 5 figures, accepted for publication in Ap

    Transportation dynamics on coupled networks with limited bandwidth

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    The communication networks in real world often couple with each other to save costs, which results in any network does not have a stand-alone function and efficiency. To investigate this, in this paper we propose a transportation model on two coupled networks with bandwidth sharing. We find that the free-flow state and the congestion state can coexist in the two coupled networks, and the free-flow path and congestion path can coexist in each network. Considering three bandwidth-sharing mechanisms, random, assortative and disassortative couplings, we also find that the transportation capacity of the network only depends on the coupling mechanism, and the fraction of coupled links only affects the performance of the system in the congestion state, such as the traveling time. In addition, with assortative coupling, the transportation capacity of the system will decrease significantly. However, the disassortative coupling has little influence on the transportation capacity of the system, which provides a good strategy to save bandwidth. Furthermore, a theoretical method is developed to obtain the bandwidth usage of each link, based on which we can obtain the congestion transition point exactly.Comment: 9 pages, 5 figure

    A Simple Adaptive p-persistent MAC Scheme for Service Differentiation and Maximum Channel Utilization

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    Abstract:- In this paper, we propose an adaptive p-persistent MAC scheme, named QDA-MAC (QoS differentiation based adaptive MAC scheme), for WLAN to maximize the channel utilization and provide the service differentiation among different traffic stations. Specifically, different from the previous works, the proposed scheme does not need to estimate the number of active stations for each priority class and still achieves the channel utilization close to its optimal value by exploiting a new parameter, persistent factor, whose optimal value can dynamically follow the change of the load based on a simple estimation of the network status. At the same time, the transmission probability of each priority class can be updated by optimal persistent factor. Simulation and numerical results show that QDA-MAC can achieve much higher channel utilization and shorter delay than standard IEEE 802.11 DCF and IEEE 802.11e EDCA in all different WLAN environments. Key-Words:- QoS differentiation; p-persistent; persistent factor; adaptive scheme; transmission attempt

    Unextendible maximally entangled bases in dxd

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    We investigate the unextendible maximally entangled bases in Cd⨂Cd\mathbb{C}^{d}\bigotimes\mathbb{C}^{d} and present a 3030-number UMEB construction in C6⨂C6\mathbb{C}^{6}\bigotimes\mathbb{C}^{6}. For higher dimensional case, we show that for a given NN-number UMEB in Cd⨂Cd\mathbb{C}^{d}\bigotimes\mathbb{C}^{d}, there is a N~\widetilde{N}-number, N~=(qd)2βˆ’(d2βˆ’N)\widetilde{N}=(qd)^2-(d^2-N), UMEB in Cqd⨂Cqd\mathbb{C}^{qd}\bigotimes\mathbb{C}^{qd} for any q∈Nq\in\mathbb{N}. As an example, for C12n⨂C12n\mathbb{C}^{12n}\bigotimes\mathbb{C}^{12n} systems, we show that there are at least two sets of UMEBs which are not equivalent.Comment: Errors correcte

    Statistical Study of the Swift X-ray Flash and X-ray Rich Gamma-Ray Bursts

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    We build a comprehensive sample to statistically describe the properties of X-ray flashes (XRFs) and X-ray riches (XRRs) from the latest third Swift Burst Alert Telescope (BAT3) catalog of Gamma-ray bursts (GRBs). We obtain 81 XRFs, 540 XRRs, and 394 classical GRBs (C-GRBs). We statistically explore the different properties of the Ξ³\gamma-ray prompt emission, the X-ray emission, the X-ray lightcurve type, the association with supernovae (SNe), and the host galaxy properties for these sources. We confirm that most XRFs/XRRs are long GRBs with low values of peak energy EpeakobsE^{obs}_{peak} and they are low-luminosity GRBs. XRFs, XRRs, and C-GRBs follow the same EX,isoE_{X,iso}-EΞ³,isoE_{\gamma,iso}-Epeak,zE_{peak,z} correlations. Compared to the classical GRBs, XRFs are favorable to have the association with SN explosions. We do not find any significant differences of redshift distribution and host galaxy properties among XRFs, XRRs, and C-GRBs. We also discuss some observational biases and selection effects that may affect on our statistical results. The GRB detectors with wide energy range and low energy threshold are expected for the XRF/XRR research in the future.Comment: ApJ accepte
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