TL;DR
This paper investigates how hardware impairments in massive MIMO systems affect capacity and estimation, revealing that impairments at user equipment limit capacity while array impairments become negligible as the number of antennas grows.
Contribution
It introduces a new system model accounting for hardware impairments and demonstrates their impact on capacity and estimation in massive MIMO systems.
Findings
Hardware impairments create finite ceilings on capacity and estimation accuracy.
Impact of array hardware impairments diminishes as the number of antennas increases.
Massive MIMO can reduce transmit power and tolerate larger hardware impairments.
Abstract
The use of large-scale antenna arrays can bring substantial improvements in energy and/or spectral efficiency to wireless systems due to the greatly improved spatial resolution and array gain. Recent works in the field of massive multiple-input multiple-output (MIMO) show that the user channels decorrelate when the number of antennas at the base stations (BSs) increases, thus strong signal gains are achievable with little inter-user interference. Since these results rely on asymptotics, it is important to investigate whether the conventional system models are reasonable in this asymptotic regime. This paper considers a new system model that incorporates general transceiver hardware impairments at both the BSs (equipped with large antenna arrays) and the single-antenna user equipments (UEs). As opposed to the conventional case of ideal hardware, we show that hardware impairments create…
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