arXiv subjects

Eric Pierre Simon

Publications and source records attributed to Eric Pierre Simon.

3 recordsLinked to original sources

arXiv2021

Serial Interference Cancellation for Improving uplink in LoRa-like Networks

In this paper, we present a new receiver design, which significantly improves performance in the Internet of Things networks such as LoRa, i.e., having a chirp spread spectrum modulation. The proposed receiver is able to demodulate multiple users simultaneously transmitted over the same frequency channel with the same spreading factor. From a non-orthogonal multiple access point of view, it is based on the power domain and uses serial interference cancellation. Simulation results show that the receiver allows a significant increase in the number of connected devices in the network.

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arXiv2021

Denoising Higher-order Moments for Blind Digital Modulation Identification in Multiple-antenna Systems

The paper proposes a new technique that substantially improves blind digital modulation identification (DMI) algorithms that are based on higher-order statistics (HOS). The proposed technique takes advantage of noise power estimation to make an offset on higher-order moments (HOM), thus getting an estimate of noise-free HOM. When tested for multiple-antenna systems, the proposed method outperforms other DMI algorithms, in terms of identification accuracy, that are based only on cumulants or do not consider HOM denoising, even for a receiver with impairments. The improvement is achieved with the same order of complexity of the common HOS-based DMI algorithms in the same context.

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arXiv2019

Energy-efficient techniques for combating the influence of reactive jamming using Non-Orthogonal Multiple Access and Distributed Antenna Systems

The aim of this work is to propose new approaches for maximizing the energy efficiency of downlink 5G mobile communication systems, in the presence of a reactive jammer. The concepts of non-orthogonal multiple access (NOMA) and distributed antenna systems (DAS) are exploited to devise joint subband, power and antenna assignment techniques, so as to guarantee a certain quality of service (QoS) to users. Also, the scheduler relies on jamming statistics, observed at the end of each timeslot, to perform resource allocation based on the prediction of the jammer behavior over the next timeslot. A particular care is given, in the proposed techniques, to maintain a moderate complexity at the receiver level, and to limit the number of active RRHs (remote radio heads) in the cell. Simulation results show that a proper combination of NOMA with DAS can allow a significant enhancement of the system robustness to jamming, with respect to centralized antenna systems and orthogonal multiple access.

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