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- Title
Resource efficiency and pilot decontamination in XL‐MIMO double‐scattering correlated channels.
- Authors
Taniguchi, Lígia May; de Souza, João Henrique Inacio; Guerra, David William Marques; Abrão, Taufik
- Abstract
In extra‐large scale massive MIMO (XL‐MIMO) systems, due to the large antenna array physical dimensions, the received signal at the base‐station (BS) results in spatial non‐stationarities and visibility regions (VRs), limited regions of the array which are visible to the users equipments (UEs). In crowded XL‐MIMO scenarios, the reuse of pilot sequences is a path to provide massive connectivity, principally when the radio resources are scarce. However, such reuse increases the intra‐cell interference, since UEs sharing the same pilot sequences may have overlapped VRs. Thus, despite the minimum mean‐squared error (MMSE) combiner having a high computational complexity, its capability in mitigating the pilot contamination, and even in eliminating such effect in asymptotic antenna regime, justify its use to provide massive connectivity with high spectral efficiency (SE). In this work, we evaluate the performance of the MMSE combiner in XL‐MIMO systems in terms of the SE, energy efficiency (EE), resource efficiency (RE), and capability of eliminating the intra‐cell pilot contamination. The MMSE channel estimator is deployed to estimate the channel vectors. Indeed, the performance of the zero‐forcing combiner and the randomized Kaczmarz regularized zero‐forcing combiner is evaluated and compared with the MMSE scheme. For modeling the XL‐MIMO propagation channel, we use the double‐scattering channel model, which considers clusters of scatterers on both the BS‐side and the UE‐side to model the spatial channel correlation. In parallel, we develop the analysis considering the single‐scattering channel model, a useful simplification of the double‐scattering channel model. The numerical results reveal that, at the cost of a high computational complexity, the MMSE combiner achieves remarkable SE and EE results. However, such superior performance is limited by the number of antennas, being recommended for cases where the size of the VR (number of active antennas) is reduced.
- Subjects
MIMO systems; ANTENNA arrays; COMPUTATIONAL complexity; ENERGY consumption; MINI-Mental State Examination; ANTENNAS (Electronics)
- Publication
Transactions on Emerging Telecommunications Technologies, 2021, Vol 32, Issue 12, p1
- ISSN
2161-3915
- Publication type
Article
- DOI
10.1002/ett.4365