arXiv (Cornell University) · 2014 · 197 citations · 5 references
Open access
EngineeringCommunicationElectrical EngineeringDigital CommunicationPropagationWireless CommunicationsChannel CapacityMassive Multiple-input Multiple-outputMultipath PropagationWireless Channel ModelingCondition Number AnalysisFadingMassive Mimo In Fading ChannelsMassive Mimo Propagation ModelingMassive Multiple-input Multiple-output Channel ModelsMimo Channel CharacterizationRayleigh FadingScenarios
Favorable propagation, defined as mutual orthogonality among the vector-valued channels to the terminals, is one of the key properties of the radio channel that is exploited in Massive MIMO. However, there has been little work that studies this topic in detail. In this paper, we first show that favorable propagation offers the most desirable scenario in terms of maximizing the sum-capacity. One useful proxy for whether propagation is favorable or not is the channel condition<br/>number. However, this proxy is not good for the case where the norms of the channel vectors are not equal. For this case, to evaluate how favorable the propagation offered by the channel is, we propose a “distance from favorable propagation” measure, which is the gap between the sum-capacity and the maximum capacity obtained under favorable propagation. Secondly, we examine how favorable the channels can be for two extreme scenarios: i.i.d. Rayleigh fading and uniform random line-of-sight (UR-LoS). Both environments offer (nearly) favorable propagation. Furthermore, to analyze the UR-LoS model, we propose an urns-and-balls model. This model is simple and explains the singular value spread characteristic of the UR-LoS model well.
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Massive MIMO for next generation wireless systems
Erik G. Larsson, Ove Edfors, Fredrik Tufvesson et al. · IEEE Communications Magazine · 2014 · 6.9K citations · Full text
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