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Optimized non-integer nested arrays for enhanced capacity with reduced element count
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DOI：10.1016/j.dsp.2025.105855.png)
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Abstract
En 中文
This paper introduces a novel design approach for rectangular antenna arrays by incorporating non-integer spacing within nested array configurations. Traditional designs, such as Uniform Rectangular Arrays (URAs), Integer Nested Arrays (INAs) and Maximum Inter-element Spacing Constraint (MISC) Arrays are limited by fixed element spacing, leading to inefficiencies in spectral capacity and array size. The proposed Non-Integer Nested Arrays (NINAs) address these limitations by optimizing spatial distribution and exploiting mutual coupling, resulting in enhanced spectral efficiency and sum rate capacity with fewer elements. Through MATLAB simulations, we also demonstrate that NINAs consistently outperform INAs, URAs and MISC configurations across various signal-to-noise ratio (SNR) levels. The results show that NINAs achieve superior performance while requiring a smaller array size, offering a cost-effective solution for antenna design. By reducing the number of elements while maintaining or improving performance, NINAs provide a significant advantage in spectrally efficient wireless communication systems. This approach offers a promising alternative to traditional integer-based array designs, paving the way for more efficient and scalable antenna systems in future wireless networks.
Keywords:
Rectangular antenna arrays
Non-integer arrays
Nested arrays
Rational arrays
Cellular networks
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