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Manifold-Based Optimizations for RIS-Aided Massive MIMO Systems
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DOI：10.1109/OJCOMS.2024.3512662.png)
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Abstract
En 中文
Manifold optimization (MO) is a powerful mathematical framework that can be applied to optimize functions over complex geometric structures, which is particularly useful in advanced wireless communication systems, such as reconfigurable intelligent surface (RIS)-aided massive MIMO (mMIMO) and extra-large scale massive MIMO (XL-MIMO) systems. MO provides a structured approach to tackling complex optimization problems. By leveraging the geometric properties of the manifold, more efficient and effective solutions can be found compared to conventional optimization methods. This paper provides a tutorial on MO technique and provides some applications of MO in the context of wireless communications systems. In particular, to corroborate the effectiveness of MO methodology, we explore five application examples in RIS-aided mMIMO system, focusing on fairness, energy efficiency (EE) maximization, intra-cell pilot reuse interference mitigation, and grant-free (GF) random access (RA).
Keywords:
Optimization
Manifolds
Wireless communication
Array signal processing
Signal processing algorithms
Massive MIMO
Complexity theory
Resource management
Reconfigurable intelligent surfaces
NOMA
Manifold optimization
reconfigurable intelligent surfaces
massive MIMO
energy efficiency
grant-free
random access
Journal
I
IF:
4.3
Papers:
1.7K
Citations:
991
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