Results 141 to 150 of about 1,754 (179)
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Ergodic Capacity of a DSL Binder Channel
2011 IEEE Global Telecommunications Conference - GLOBECOM 2011, 2011The goal of this paper is to investigate the capacity of a symmetric Digital Subscriber Line (DSL) channel under Gaussian interference and thermal noise. Previous efforts only considered various analytical worst-case channel models to calculate the capacity of the DSL channel.
Sean Huberman, Tho Le-Ngoc
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Ergodic capacity ordering of fading channels
2012 IEEE International Symposium on Information Theory Proceedings, 2012In this paper, a new stochastic order between two fading distributions is introduced. A fading channel dominates another in the capacity ordering sense, if the ergodic capacity of the first is greater than that of the second at all values of average signal to noise ratio.
Adithya Rajan, Cihan Tepedelenlioglu
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On the Ergodic Capacity of MIMO NOMA Systems
IEEE Wireless Communications Letters, 2015Non-orthogonal multiple access (NOMA) is expected to be a promising multiple access technique for 5G networks due to its superior spectral efficiency. In this letter, the ergodic capacity maximization problem is first studied for the Rayleigh fading multiple-input multiple-output (MIMO) NOMA systems with statistical channel state information at the ...
Qi Sun 0001 +3 more
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Achieving the ergodic capacity with lattice codes
2015 IEEE International Symposium on Information Theory (ISIT), 2015The performance of lattice codes in the additive white Gaussian noise (AWGN) channel has attracted much attention lately, however, their performance under ergodic fading channels has been relatively unexplored. We show that lattice coding and decoding achieve the capacity of the ergodic point-to-point and multiple-access channels (MAC). Additionally, a
Ahmed Hindy, Aria Nosratinia
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On the ergodic capacity of MIMO Nakagami-fading channels
2008 IEEE International Symposium on Information Theory, 2008This paper investigates the ergodic capacity limit of multiple-input multiple-output (MIMO) Nakagami-fading channels for arbitrary finite number of antennas. Through the use of majorization theory, we derive ergodic capacity bounds for this general class of channels.
Caijun Zhong, Kai-Kit Wong, Shi Jin 0002
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Ergodic capacity region for the uplink OFDMA network
2012 International Conference on Wireless Communications and Signal Processing (WCSP), 2012In this paper, the resource allocation policy and algorithm for the uplink Orthogonal Frequency Division Multiple Access (OFDMA) network over the fading channel is studied. With the convex optimization theory, the optimal resource allocation is formulated as a weighted ergodic sum rate maximization problem.
Zelang Wang, Huifang Chen, Lei Xie 0003
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A G-estimator of the MIMO channel ergodic capacity
2009 IEEE International Symposium on Information Theory, 2009In this paper, we deal with the estimation of the ergodic capacity of large MIMO systems, using training sequences whose lengths are of the same order of magnitude than the number of antennas. In this context, the traditional estimator becomes inconsistent.
Vallet, Pascal, Loubaton, Philippe
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On the capacity of ergodic channels: A large deviation analysis
9th International Conference on Communications and Networking in China, 2014The convergence behavior of capacity of ergodic channels is of great importance for the performance analysis of communication systems. This paper presents a fundamental study on the convergence rate of capacity of ergodic channels on the basis of large deviation theory.
Yuan Qi 0002 +4 more
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Ergodic channel capacity for generalized fading channels
2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014The ergodic channel capacity (ECC) of single-branch receivers is studied under the scenarios described by means of α-η-μ, α-к-μ, and α-λ-μ-η generalized fading channels. Novel expressions are derived, which are the most general in this scientific area.
Anastasios K. Papazafeiropoulos +1 more
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Estimating the Ergodic Capacity of Log-Normal Channels
IEEE Communications Letters, 2007In this paper, we first provide a very accurate estimation of the capacity of a single-input single-output system operating in a log-normal environment. Then, hinging on the fact that the sum of log-normal Random Variables (RV) is well approximated by another log-normal RV, we apply the obtained results to find the capacity of Maximum Ratio Combining ...
Amine Laourine +2 more
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