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Achieving the ergodic capacity with lattice codes

2015 IEEE International Symposium on Information Theory (ISIT), 2015
The 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
openaire   +1 more source

On the ergodic capacity of MIMO Nakagami-fading channels

2008 IEEE International Symposium on Information Theory, 2008
This 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
openaire   +2 more sources

Ergodic capacity region for the uplink OFDMA network

2012 International Conference on Wireless Communications and Signal Processing (WCSP), 2012
In 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
openaire   +2 more sources

A G-estimator of the MIMO channel ergodic capacity

2009 IEEE International Symposium on Information Theory, 2009
In 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
openaire   +3 more sources

Ergodic capacity under channel distribution uncertainty

2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2014
The impact of channel distribution uncertainty on the performance of fading channels is studied. The compound capacity of a class of ergodic fading channels subject to channel distribution uncertainty is obtained, for arbitrary noise and nominal channel distribution.
Loyka, S.   +5 more
openaire   +2 more sources

On the Ergodic Capacity of MIMO Triply Selective Rayleigh Fading Channels [PDF]

open access: yesIEEE Transactions on Wireless Communications, 2008
The ergodic capacity is investigated for triply selective MIMO Rayleigh fading channels. A mathematical formula is derived for the ergodic capacity in the case when the channel state information is known to the receiver but unknown to the transmitter.
Yahong Rosa Zheng, Chengshan Xiao
exaly   +2 more sources

Estimating the Ergodic Capacity of Log-Normal Channels

IEEE Communications Letters, 2007
In 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
openaire   +1 more source

Ergodic channel capacity for generalized fading channels

2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014
The 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
openaire   +1 more source

On ergodic sum capacity of underlay cognitive broadcast channels

21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2010
We study the fundamental capacity limits of the underlay cognitive broadcast (BC) channel under average transmit power and average interference power constraints. In a fading environment, the sum capacity is found from a constrained water-filling solution given in [7].
Liang Li 0009   +2 more
openaire   +2 more sources

Secrecy capacity of the ergodic layered erasure wiretap channel

2015 49th Annual Conference on Information Sciences and Systems (CISS), 2015
We consider the layered erasure wiretap channel which can also be viewed as the time varying version of the deterministic model of the wiretap channel and characterize its secrecy capacity. We assume an arbitrary fading statistics for the erasure probabilities of the layers and assume that only the fading statistics is known at the transmitter while ...
Mohammad K. Hossan, Sanjay Karmakar
openaire   +1 more source

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