K
Kamran Ghavami
Researcher at Louisiana State University
Publications - 6
Citations - 215
Kamran Ghavami is an academic researcher from Louisiana State University. The author has contributed to research in topics: Communication channel & MIMO. The author has an hindex of 4, co-authored 6 publications receiving 179 citations.
Papers
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Journal ArticleDOI
A Survey of Traffic Issues in Machine-to-Machine Communications Over LTE
TL;DR: The traffic issues of M2M communications and the challenges they impose on both access channel and traffic channel of a radio access network and the congestion problems they create in the CN are investigated.
Journal ArticleDOI
Blind Channel Estimation and Symbol Detection for Multi-Cell Massive MIMO Systems by Expectation Propagation
Kamran Ghavami,Mort Naraghi-Pour +1 more
TL;DR: A blind channel estimation and symbol detection scheme for multi-cell massive MIMO systems based on expectation propagation (EP) and Simulation results show that after a few iterations, the EP-based algorithm significantly improves the performance of the EVD-based method in both channel estimationand symbol error rate.
Journal ArticleDOI
MIMO Detection With Imperfect Channel State Information Using Expectation Propagation
Kamran Ghavami,Mort Naraghi-Pour +1 more
TL;DR: The performance of EP in the presence of imperfect CSI due to channel estimation errors is studied and it is shown that in this case, the EP detector experiences significant performance loss.
Proceedings ArticleDOI
Noncoherent SIMO detection by expectation propagation
Kamran Ghavami,Mort Naraghi-Pour +1 more
TL;DR: An algorithm based on expectation propagation (EP) is proposed for noncoherent symbol detection in large-scale SIMO systems and it is verified through simulation that in terms of symbol error rate (SER), the proposed detector outperforms the pilotbased coherent MMSE detector.
Proceedings ArticleDOI
Noncoherent Massive MIMO Detection by Expectation Propagation
Kamran Ghavami,Mort Naraghi-Pour +1 more
TL;DR: This paper presents a noncoherent channel estimation and symbol detection scheme for multi-cell massive MIMO systems based on expectation propagation (EP), and shows that after a few iterations, the EP-based algorithm significantly outperforms the EVD-based method in both channel estimationand symbol error rate.