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Maha Alodeh

Researcher at University of Luxembourg

Publications -  32
Citations -  931

Maha Alodeh is an academic researcher from University of Luxembourg. The author has contributed to research in topics: Precoding & Channel state information. The author has an hindex of 15, co-authored 32 publications receiving 800 citations.

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Constructive Multiuser Interference in Symbol Level Precoding for the MISO Downlink Channel

TL;DR: A maximum ratio transmission (MRT) based algorithm that jointly exploits DI and CSI to glean the benefits from constructive multiuser interference and novel constructive interference precoding techniques that tackle the transmit power minimization with individual SINR constraints at each user's receivers are proposed.
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Symbol-Level and Multicast Precoding for Multiuser Multiantenna Downlink: A State-of-the-Art, Classification, and Challenges

TL;DR: A unified view and classification of precoding techniques with respect to two main axes is presented: 1) the switching rate of the precoding weights, leading to the classes of block-level and symbol-level precoding and 2) the number of users that each stream is addressed to, hence unicast, multicast, and broadcast precoding.
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Symbol-Level Multiuser MISO Precoding for Multi-Level Adaptive Modulation

TL;DR: In this paper, the authors extend this to generic multi-level modulations by establishing connection to PHY layer multicasting with phase constraints, and design the signal processing algorithms for minimizing the required power under per-user signal to interference noise ratio or goodput constraints.
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Energy-Efficient Symbol-Level Precoding in Multiuser MISO Based on Relaxed Detection Region

TL;DR: This paper generalizes the constructive interference (CI) precoding design under the assumption that the received MPSK symbol can reside in a relaxed region in order to be correctly detected and shows that the proposed schemes outperform other state-of-the-art techniques.
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Symbol-Level Precoding for the Nonlinear Multiuser MISO Downlink Channel

TL;DR: Numerical results are presented in a comparative fashion to show the effectiveness of the proposed techniques, which outperform the state-of-the-art symbol-level precoding schemes in terms of spatial peak-to-average power ratio, spatial dynamic range, and symbol error rate over nonlinear channels.