Theoretical Performance Limits of Massive MIMO with Uncorrelated Rician Fading Channels
Type
ArticleKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionElectrical Engineering Program
Date
2018-11-29Online Publication Date
2018-11-29Print Publication Date
2018Permanent link to this record
http://hdl.handle.net/10754/630331
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This work considers a multicell Massive MIMO network with L cells, each comprising a BS with M antennas and K single-antenna user equipments. Within this setting, we are interested in deriving approximations of the achievable rates in the uplink and downlink under the assumption that single-cell linear processing is used at each BS and that each intracell link forms an uncorrelatedMIMO Rician fading channel matrix; that is, with a deterministic line-of-sight (LoS) path and a stochastic non-line-of-sight component describing a spatial uncorrelated multipath environment. The analysis is conducted assuming that N and K grow large with a given ratio N/K under the assumption that the data transmission in each cell is affected by channel estimation errors, pilot contamination, an arbitrary large scale attenuation and LoS components. Numerical results are used to prove that the approximations are asymptotically tight, but accurate for systems with finite dimensions under different operating conditions. The asymptotic results are also used to evaluate the impact of LoS components. In particular, we exemplify how the number of antennas for achieving a target rate can be substantially reduced with LoS links of only a few dBs of strength.Citation
Sanguinetti L, Kammoun A, Debbah M (2018) Theoretical Performance Limits of Massive MIMO with Uncorrelated Rician Fading Channels. IEEE Transactions on Communications: 1–1. Available: http://dx.doi.org/10.1109/TCOMM.2018.2884003.Sponsors
This work was partially supported by the University of Pisa under the PRA 2018-2019 Research Project CONCEPT and also by the H2020-ERC PoCCacheMire project (grant 727682).arXiv
1811.11695Additional Links
https://ieeexplore.ieee.org/document/8552437ae974a485f413a2113503eed53cd6c53
10.1109/TCOMM.2018.2884003