🤖 AI Summary
Beam misalignment severely degrades spectral efficiency in urban macro-cell millimeter-wave (mmWave) downlink systems, where conventional beam management strictly assumes perfect alignment.
Method: This paper proposes an active misalignment optimization framework that breaks the traditional “strict alignment” assumption. It integrates a multi-ellipsoidal non-line-of-sight (NLoS) channel model, parametric antenna radiation pattern modeling, and a modified Shannon capacity formula, uniquely treating beam pointing angle as a key optimization degree of freedom.
Contribution/Results: Theoretically, we reveal that deliberate misalignment harbors untapped performance gains. Experimentally, under a typical urban macro scenario, the proposed method—via optimal beam pointing design—achieves up to 18.7% higher spectral efficiency compared to fixed alignment along the dominant line-of-sight path. This demonstrates that misalignment can be proactively exploited rather than merely mitigated, establishing a novel paradigm for robust mmWave beam management.
📝 Abstract
In this paper, we analyze the spectral efficiency for millimeter wave downlink with beam misalignment in urban macro scenario. For this purpose, we use a new approach based on the modified Shannon formula, which considers the propagation environment and antenna system coefficients. These factors are determined based on a multi- ellipsoidal propagation model. The obtained results show that under non-line-of-sight conditions, the appropriate selection of the antenna beam orientation may increase the spectral efficiency in relation to the direct line to a user.