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M

Marco Chiani

Researcher at University of Bologna

Publications -  379
Citations -  10975

Marco Chiani is an academic researcher from University of Bologna. The author has contributed to research in topics: Low-density parity-check code & Fading. The author has an hindex of 47, co-authored 358 publications receiving 10143 citations. Previous affiliations of Marco Chiani include University of Hawaii & Philips.

Papers
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Journal ArticleDOI

New exponential bounds and approximations for the computation of error probability in fading channels

TL;DR: New exponential bounds for the Gaussian Q function and its inverse are presented and a quite accurate and simple approximate expression given by the sum of two exponential functions is reported for the general problem of evaluating the average error probability in fading channels.
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On the capacity of spatially correlated MIMO Rayleigh-fading channels

TL;DR: A concise closed-form expression is derived for the characteristic function (c.f.) of MIMO system capacity with arbitrary correlation among the transmitting antennas or among the receiving antennas in frequency-flat Rayleigh-fading environments, and an exact expression for the mean value of the capacity for arbitrary correlation matrices is derived.
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Network localization and navigation via cooperation

TL;DR: This article presents an exploration of cooperative network localization and navigation from a theoretical foundation to applications, covering technologies and spatiotemporal cooperative algorithms.
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Protograph LDPC Codes Design Based on EXIT Analysis

TL;DR: The proposed EXIT analysis takes into account edge connections, permitting the decoding convergence evaluation for protograph-based and multi- edge type low-density parity-check codes, allowing the design of highly-structured capacity approaching LDPC codes.
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Coded Slotted ALOHA: A Graph-Based Method for Uncoordinated Multiple Access

TL;DR: In this paper, a random access scheme is introduced which relies on the combination of packet erasure correcting codes and successive interference cancellation (SIC), and a bipartite graph representation of the SIC process, resembling iterative decoding of generalized low-density parity check codes over the erasure channel, is exploited to optimize the selection probabilities of the component erasure correction codes via density evolution analysis.