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Jr., “Spectral efficiency scaling laws in dense random wireless networks with multiple receive antennas,” [Online]. Available: http://arxiv.org/abs/1410.7502
, 2014
"... This paper considers large random wireless networks where transmitandreceive node pairs communicate within a certain range while sharing a common spectrum. By modeling the spatial locations of nodes based on stochastic geometry, analytical expressions for the ergodic spectral efficiency of a typi ..."
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This paper considers large random wireless networks where transmitandreceive node pairs communicate within a certain range while sharing a common spectrum. By modeling the spatial locations of nodes based on stochastic geometry, analytical expressions for the ergodic spectral efficiency of a typical node pair are derived as a function of the channel state information available at a receiver (CSIR) in terms of relevant system parameters: the density of communication links, the number of receive antennas, the path loss exponent, and the operating signaltonoise ratio. One key finding is that when the receiver only exploits CSIR for the direct link, the sum of spectral efficiencies linearly improves as the density increases, when the number of receive antennas increases as a certain superlinear function of the density. When each receiver exploits CSIR for a set of dominant interfering links in addition to the direct link, the sum of spectral efficiencies linearly increases with both the density and the path loss exponent if the number of antennas is a linear function of the density. This observation demonstrates that having CSIR for dominant interfering links provides a multiplicative gain in the scaling law. It is also shown that this linear scaling holds for direct CSIR when incorporating the effect of the receive antenna correlation, provided that the rank of the spatial correlation matrix scales superlinearly with the density. Simulation results back scaling laws derived from stochastic geometry. DRAFT ar X iv
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2014 1 Systemlevel Performance of Interference Alignment
"... Abstract—Capitalizing on the analytical potency of stochastic geometry and on some new ideas to model intercell interference, this paper presents analytical expressions that enable quantifying the spectral efficiency of IA (interference alignment) in cellular networks without the need for simulation ..."
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Abstract—Capitalizing on the analytical potency of stochastic geometry and on some new ideas to model intercell interference, this paper presents analytical expressions that enable quantifying the spectral efficiency of IA (interference alignment) in cellular networks without the need for simulation. From these expressions, the benefits of IA are characterized. Even under favorable assumptions, IA is found to be beneficial only in very specific and relatively infrequent network situations, and a blanket utilization of IA is found to be altogether detrimental. Applied only in the appropriate situations, IA does bring about benefits that are significant for the users involved but relatively small in terms of average spectral efficiency for the entire system. Index Terms—Interference alignment, stochastic geometry, Poisson point process, spatial multiplexing, spectral efficiency, distributed cooperation. I.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2015 1 An Analytical Framework for DevicetoDevice Communication in Cellular Networks
"... Abstract—This paper presents a framework that enables characterizing analytically the spectral efficiency achievable by D2D (devicetodevice) communication integrated with a cellular network. This framework is based on a stochastic geometry formulation with a novel approach to the modeling of inter ..."
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Abstract—This paper presents a framework that enables characterizing analytically the spectral efficiency achievable by D2D (devicetodevice) communication integrated with a cellular network. This framework is based on a stochastic geometry formulation with a novel approach to the modeling of interference and with the added possibility of incorporating exclusion regions to protect cellular receivers from excessive interference from active D2D transmitters. To illustrate the potential of the framework, a number of examples are provided. These examples confirm the potential of D2D communication in situations of strong traffic locality as well as the effectiveness of properly sized exclusion regions. Index Terms—D2D communication, overlay, underlay, spectral efficiency, stochastic geometry, Poisson point process.
1Analytical Characterization of ITLinQ: Channel Allocation for DevicetoDevice Communication Networks
"... Devicetodevice (D2D) communication allows serving local wireless traffic bypassing the system’s infrastructure. One way to control the interference in D2D networks is to carefully channelize transmissions. This paper presents an analytical characterization of ITLinQ, one of the principal D2D chan ..."
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Devicetodevice (D2D) communication allows serving local wireless traffic bypassing the system’s infrastructure. One way to control the interference in D2D networks is to carefully channelize transmissions. This paper presents an analytical characterization of ITLinQ, one of the principal D2D channelization schemes proposed to date. Recognizing that it captures well the spatial characteristics of D2D networks, a stochastic geometry setting is utilized for this analysis. The derived expressions enable gleaning insights on how ITLinQ avoids situations of excessive interference, and they facilitate optimizing the controllable parameters of ITLinQ so as to maximize the system spectral efficiency (bits/s/Hz per unit area). With the parameters thus optimized, the ultimate performance of ITLinQ can be evaluated with respect to other D2D channel allocation schemes. In particular, performance evaluation comparisons with the FlashLinQ scheme are provided, and the gains with respect to an unchannelized network are quantified.
1An Analytical Framework for DevicetoDevice Communication in Cellular Networks
"... This paper presents an analytical framework that enables characterizing analytically the spectral efficiency achievable by D2D (devicetodevice) communication links integrated within a cellular network. This framework is based on a stochastic geometry formulation with a novel approach to the model ..."
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This paper presents an analytical framework that enables characterizing analytically the spectral efficiency achievable by D2D (devicetodevice) communication links integrated within a cellular network. This framework is based on a stochastic geometry formulation with a novel approach to the modeling and spatial averaging of interference, which facilitates obtaining compact expressions, and with the added possibility of incorporating exclusion regions to protect cellular users from excessive interference from active D2D transmitters. To illustrate the potential of the framework, a number of examples are provided. These examples confirm the hefty potential of D2D communication in situations of strong traffic locality as well as the effectiveness of properly sized exclusion regions.
1Spectral Efficiency of Dynamic Coordinated Beamforming: A Stochastic Geometry Approach
"... Abstract—This paper characterizes the performance of coordinated beamforming with dynamic clustering. A downlink model based on stochastic geometry is put forth to analyze the performance of such base station (BS) coordination strategy. Analytical expressions for the complementary cumulative distr ..."
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Abstract—This paper characterizes the performance of coordinated beamforming with dynamic clustering. A downlink model based on stochastic geometry is put forth to analyze the performance of such base station (BS) coordination strategy. Analytical expressions for the complementary cumulative distribution function (CCDF) of the instantaneous signaltointerference ratio (SIR) are derived in terms of relevant system parameters, chiefly the number of BSs forming the coordination clusters, the number of antennas per BS, and the pathloss exponent. Utilizing this CCDF, with pilot overheads further incorporated into the analysis, we formulate the optimization of the BS coordination clusters for a given fading coherence. Our results indicate that (i) coordinated beamforming is most beneficial to users that are in the outer part of their cells yet in the inner part of their coordination cluster, and that (ii) the optimal cluster cardinality for the typical user is small and it scales with the fading coherence. Simulation results verify the exactness of the SIR distributions derived for stochastic geometries, which are further compared with the corresponding distributions for deterministic grid networks.
IEEE TRANSACTIONS ON INFORMATION THEORY, 2013 1 Fundamental Limits of Cooperation
"... Abstract—Cooperation is viewed as a key ingredient for interference management in wireless networks. This paper shows that cooperation has fundamental limitations. First, it is established that in systems that rely on pilotassisted channel estimation the spectral efficiency is upperbounded by a qu ..."
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Abstract—Cooperation is viewed as a key ingredient for interference management in wireless networks. This paper shows that cooperation has fundamental limitations. First, it is established that in systems that rely on pilotassisted channel estimation the spectral efficiency is upperbounded by a quantity that does not depend on the transmit powers; in this framework, cooperation is possible only within clusters of limited size, which are subject to outofcluster interference whose power scales with that of the incluster signals. Second, an upper bound is also shown to exist if the cooperation extends to an entire (large) system operating as a single cluster; here, pilotassisted transmission is necessarily transcended. Altogether, it is concluded that cooperation cannot in general change an interferencelimited network to a noiselimited one. Consequently, existing literature that routinely assumes that the highpower spectral efficiency scales with the logscale transmit power provides only a partial characterization. The complete characterization proposed in this paper subdivides the highpower regime into a degreesoffreedom regime, where the scaling with the logscale transmit power holds approximately, and a saturation regime, where the spectral efficiency hits a ceiling that is independent of the power. Using a cellular system as an example, it is demonstrated that the spectral efficiency saturates at power levels of operational relevance. Index Terms—Wireless communications, interference, cooperative systems, wireless networks I.