Journal of Communications and Networks · 2013 · 420 citations · 22 references
EngineeringCommunicationElectrical EngineeringAgingAntennasWireless CommunicationsChannel CapacityChannel EstimationChannel Performance AnalysisMassive Multiple-input Multiple-outputMimo AntennasWireless Channel ModelingMassive Mimo Spectral EfficiencyMassive Multiple-input Multiple-output Channel ModelsMimoMimo Channel ModelingMultiuser Massive MimoPredictionSpectral EfficiencyTime-varying Channel Models
Massive MIMO achieves high spectral efficiency by deploying many antennas at base stations, leveraging multiuser MIMO with a large excess of antennas per user, yet early studies did not fully address practical deployment challenges. The study investigates how channel aging degrades massive MIMO performance and proposes channel prediction as a mitigation strategy. The authors model channel time variations with a simple transmitter‑side model and introduce a channel prediction scheme to counter aging effects. Analytical results reveal capacity loss due to channel aging, while simulations show that massive MIMO remains viable with moderate variation and that channel prediction can partially recover performance.
Multiple-input multiple-output (MIMO) communication may provide high spectral efficiency through the deployment of a very large number of antenna elements at the base stations. The gains from massive MIMO communication come from the use of multiuser MIMO on the uplink and downlink, but with a large excess of antennas at the base station compared to the number of served users. Initial work on massive MIMO did not fully address several practical issues associated with its deployment. This paper considers the impact of channel aging on the performance of massive MIMO systems. The effects of channel variation are characterized as a function of different system parameters assuming a simple model for the channel time variations at the transmitter. Channel prediction is proposed to overcome channel aging effects. The analytical results on aging show how capacity is lost due to time variation in the channel. Numerical results in a multiceli network show that massive MIMO works even with some channel variation and that channel prediction could partially overcome channel aging effects.
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Scaling up MIMO: Opportunities and challenges with very large arrays
2013 · 4.3K citations
Statistical Digital Signal Processing and Modeling
Marvin H. J. Gruber, M.H. Hayes · Technometrics · 1997 · 2.2K citations