## 1 Introduction  
Pattern reconfigurable antennas are essential for mitigating noise and interference, overcoming jamming signals, and enhancing system gain. By directing signals exclusively toward desired directions, these antennas also conserve energy and increase user capacity [1, 2]. They are crucial for the next generations of mobile communication, including 5G, beyond 5G, and future 6G networks, supporting location-based services for the mobile Internet [3, 4]. To effectively address complex environments and increasingly sophisticated demands, reconfigurable antennas must not only be versatile but also highly precise in their operation. This precision is essential for adapting to the dynamic conditions of modern communication systems. Beam-steering antenna systems, in particular, have garnered significant interest due to their ability to provide interference-free, power-efficient, and highly secure end-to-end communication [5, 6, 7, 8]. Moreover, by incorporating null-steering capabilities, a beam-steering reconfigurable antenna can also generate one or more nulls in specific directions [9]. This feature is especially valuable as it allows the antenna to direct nulls toward interfering or jamming signals, thereby enhancing the signal-to-noise ratio and improving connection stability and reliability [10]. Although several designs achieving effective null-steering have been developed in the literature, challenges such as limited bandwidth, high computational complexity, and reliance on large arrays still persist [11, 12]. Significant advancements have been made in null-steering antenna technologies for precise null-steering applications [13], including metasurface-based antennas that enable beamforming and steering with high efficiency [14, 15]. Additionally, the integration of metasurface structures into computational imaging systems for enhanced control of electromagnetic wave manipulation has been achieved [16]. Despite these contributions, challenges remain, including the reliance on complex configurations, limitations in achieving precise null placement across varying operational scenarios, and scalability issues. Our work addresses these gaps by introducing cylindrical metasurface meta-covers optimized through a genetic algorithm. This approach offers precise control over both beam direction and null placement while maintaining a compact and efficient design. Our results demonstrate enhanced radiation pattern manipulation, enabling broader applications in communication and sensing systems. The most common implementation for null-steering antennas is using arrays of N elements fed by a beamforming network (BFN) to generate N \(-\) 1 scannable nulls [17]. While these techniques offer high performance, they are often hindered by the need for extensive arrays, multiple sensors or channels, intensive computation, and costly hardware [18; 19; 20]. In this context, metasurfaces that cover antennas have emerged as a transformative technology, enabling advanced functionalities in communication systems [21]. These ultra-thin, planar structures can manipulate electromagnetic waves in ways that were previously unattainable with conventional materials. Metasurfaces are engineered structures composed of subwavelength elements that can locally control the amplitude, phase, and polarization of electromagnetic waves with a precision that is not achievable with conventional bulk materials. This capability arises from their ability to impose abrupt, spatially varying boundary conditions on the propagating wavefront, enabling functionalities such as beam steering, polarization conversion, and wavefront shaping. Unlike conventional materials, whose electromagnetic properties are governed by constitutive parameters, i.e., permittivity and permeability, metasurfaces rely on the geometric design and arrangement of their constituent elements, offering unparalleled flexibility in wave manipulation.