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Accès ouvert déclaré 2026 preprint

Wireless Communication with Cross-Linked Rotatable Antenna Array: Architecture Design and Rotation Optimization

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3Institutions déclarées
2Pays d’affiliation déclarés

Rattachement africain : cn, mo. Niveau de preuve : code pays fourni par la source.

Le résumé fourni par la source

Rotatable antenna (RA) technology can harness additional spatial degrees of freedom by enabling the dynamic three-dimensional orientation control of each antenna. Unfortunately, the hardware cost and control complexity of traditional RA systems is proportional to the number of RAs. To address the issue, we consider a cross-linked (CL) RA structure, which enables the coordinated rotation of multiple antennas, thereby offering a cost-effective solution. To evaluate the performance of the CL-RA array, we investigate a CL-RA-aided uplink system. Specifically, we first establish system models for both antenna element-level and antenna panel-level rotation. Then, we formulate a sum rate maximization problem by jointly optimizing the receive beamforming at the base station and the rotation angles. For the antenna element-level rotation, we derive the optimal solution of the CL-RA array under the single-user case. Subsequently, for two rotation schemes, we propose an alternating optimization algorithm to solve the formulated problem in the multi-user case, where the receive beamforming and the antenna rotation angles are obtained by applying the minimum mean square error method and feasible direction method, respectively. In addition, considering the hardware limitations, we apply the genetic algorithm to address the discrete rotation angles selection problem. Simulation results show that by carefully designing the row-column partition scheme, the performance of the CL-RA architecture is quite close to that of the flexible antenna orientation scheme. Moreover, the CL antenna element-level scheme surpasses the CL antenna panel-level scheme by 25% and delivers a 128% performance improvement over conventional fixed-direction antennas.

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Où se fait cette recherche

  • Shanghai Jiao Tong University Department of Electronic Engineering pays non établi dans la notice
    Université ou école supérieure
  • University of Macau State Key Laboratory of Internet of Things for Smart City and the Department of Electrical and Computer Engineering pays non établi dans la notice
    Université ou école supérieure
  • City University of Macau pays non établi dans la notice
    Université ou école supérieure

Department of Electronic Engineering — Shanghai Jiao Tong University, State Key Laboratory of Internet of Things for Smart City and the Department of Electrical and Computer Engineering — University of Macau et City University of Macau.

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

Advanced MIMO Systems OptimizationAntenna Design and OptimizationDirection-of-Arrival Estimation Techniques

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