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Transformer-assisted hierarchical deep reinforcement learning for energy and spectrum efficient MIMO-MC-CDMA in 6G networks. [PDF]
Saranya KR +3 more
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Machine learning driven clustering for silhouetting 5G network throughput. [PDF]
Ramesh P, Bhuvaneswari PTV.
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Channelized lithospheric erosion shapes the western North American craton margin. [PDF]
Yang X, Liu L, Cao Z.
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Polar Codes for the Rayleigh Fading Channel
IEEE Communications Letters, 2013The application of polar codes for the Rayleigh fading channel is considered. We construct polar codes for the block Rayleigh fading channel with known channel side information (CSI) and for the Rayleigh channel with known channel distribution information (CDI).
Angel Bravo-Santos
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On the Diversity of Rayleigh Product Channels
2007 IEEE International Symposium on Information Theory, 2007We study the diversity of a Rayleigh product channel which is defined as a product of independent Rayleigh MIMO channels. More specifically, we obtain a closed-form expression of the diversity-multiplexing tradeoff (DMT) of a Rayleigh product channel with arbitrary dimensions and arbitrary number of product terms.
Sheng Yang 0001, Jean-Claude Belfiore
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Constellations matched to the Rayleigh fading channel
IEEE Transactions on Information Theory, 1996Summary: We introduce a new technique for designing signal sets matched to the Rayleigh fading channel. In particular, we look for \(n\)-dimensional \((n\geq 2)\) lattices whose structure provides \(n\)th-order diversity. Our approach is based on a geometric formulation of the design problem which in turn can be solved by using a number-geometric ...
Xavier Giraud, Jean-Claude Belfiore
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Measurement Complexity of Rayleigh Fading Channels
IEEE Transactions on Vehicular Technology, 2009Rayleigh fading is a widely used channel model in wireless communications. The mean channel power is of practical importance in channel access, power control, handoff, modeling, and coverage analysis of wireless systems. A fundamental problem naturally arises: How many measurements are sufficient to estimate these parameters with the prescribed margin ...
Xinjia Chen, Guoxiang Gu, Kemin Zhou
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