2022
DOI: 10.1109/twc.2022.3151329
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Exploring the Non-Overlapping Visibility Regions in XL-MIMO Random Access and Scheduling

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Cited by 22 publications
(28 citation statements)
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“…3. Similarly, as [13], [15], we consider a simplified bipartite graph model in XL-MIMO, the array is divided into B subarrays (SAs), each composed by a fixed number of M b = M/B antennas, ensuring the minimum antennas elements (M b ≥ 50), to achieve the inherent properties of massive MIMO [22]. Each SA is equipped with a remote processing unit (RPU) that performs channel estimate, SIC, and resource allocation in a distributed manner, these RPUs are connected to a coordinating central processing unit (CPU), and decoded signals in RPU are sent to CPU to be combined in an equal gain combiner (EGC), where each branch has the same weight, integrated to the BS.…”
Section: System Modelmentioning
confidence: 95%
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“…3. Similarly, as [13], [15], we consider a simplified bipartite graph model in XL-MIMO, the array is divided into B subarrays (SAs), each composed by a fixed number of M b = M/B antennas, ensuring the minimum antennas elements (M b ≥ 50), to achieve the inherent properties of massive MIMO [22]. Each SA is equipped with a remote processing unit (RPU) that performs channel estimate, SIC, and resource allocation in a distributed manner, these RPUs are connected to a coordinating central processing unit (CPU), and decoded signals in RPU are sent to CPU to be combined in an equal gain combiner (EGC), where each branch has the same weight, integrated to the BS.…”
Section: System Modelmentioning
confidence: 95%
“…Let M denote the set of all BS SAs and V k ⊂ M the subset of SAs visible to the k-th UE. To compose the mathematical modeling, we assume that the subset V k is generated at random, where each SA is visible with probability P b by UE k, like in [13], [15]. This probability simulates the influence of random obstacles and scatterers in the environment that interact with the signals transmitted by/to the UEs, resulting in VRs.…”
Section: System Modelmentioning
confidence: 99%
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