MSMaroua Shili

Maroua Shili

*This is an algorithmically generated author record based on publicly available information.

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Maroua Shili has a total of 2 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • User Clustering and Power Allocation for Massive MIMO With NOMA-Inspired Cognitive Radio

    by Maroua Shili, Moufida Hajjaj, Mohamed Lassaad Ammari

    This paper proposes a massive multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) system based on cognitive radio (CR) networks. To reduce the users interference, we propose an efficient user clustering algorithm. Within a cluster, we consider the user with the weak channel gain as a primary user (PU) and the user with the strong channel gain as a secondary user (SU). Given the quality of service for both PUs and SUs, we propose a power allocation (PA) method that maximizes the sum rate. The PA optimization problem is discussed into three scenarios which depend on the available transmit power. Thereafter, we derive a robust solution for the PA issue under imperfect channel state information (CSI) assumptions. Simulation results demonstrate that our proposed NOMA-CR scheme can significantly improve the spectral efficiency (SE).In addition, the proposed robust PA scheme for the imperfect CSI case reduces the performance loss due to the channel uncertainty.


  • Open Access

    Power allocation with QoS satisfaction in mmWave beamspace MIMO‐NOMA

    by Maroua Shili, Moufida Hajjaj, Mohamed Lassaad Ammari

    In this paper, a non‐orthogonal multiple access (NOMA) scheme is considered for downlink millimeter‐wave (mmWave) transmissions over beamspace massive multiple‐input multiple‐output (MIMO) channels. To improve the NOMA detection and reduce its complexity, it is assumed that users are grouped in clusters. The major benefit of the NOMA depends on the power allocation (PA) among users. In this context, to ensure the quality of service (QoS) of users, a threshold rate for each user is defined. The aim of this work is to propose a new PA strategy that takes into account the pre‐defined threshold rates and maximizes the achievable sum rate. Thereafter, considering the Karush‐Kuhn‐Tucker (KKT) conditions, a closed‐form solution for the PA issue under perfect and imperfect channel state information (CSI) assumptions is derived. Through simulation results, it is shown that the proposed scheme outperforms the conventional orthogonal multiple access techniques in terms of spectral efficiency (SE) and energy efficiency (EE). In addition, the proposed robust PA scheme for the imperfect CSI case reduces the performance loss due to the channel uncertainty.