منابع مشابه
Massive Mimo: Channel Measurements and Their Models & Forthcoming Aspects
Massive MIMO is also known as very-large MIMO (VLMIMO) and large scale antenna systems (LSAS), Hyper MIMO (HMIMO), Full dimension MIMO (FDMIMO) is advance techniques that potentially can offered the large network capacities in multi-user circumstances. With a massive MIMO system, we consider the case where a base station equipped with a large number of antennas elements instantaneously serves t...
متن کاملSemi-Blind Channel Estimation based on subspace modeling for Multi-user Massive MIMO system
Channel estimation is an essential task to fully exploit the advantages of the massive MIMO systems. In this paper, we propose a semi-blind downlink channel estimation method for massive MIMO system. We suggest a new modeling for the channel matrix subspace. Based on the low-rankness property, we have prposed an algorithm to estimate the channel matrix subspace. In the next step, using o...
متن کاملComposite Channel Estimation in Massive MIMO Systems
We consider a multiuser (MU) multiple-input multiple-output (MIMO) time-division duplexing (TDD) system in which the base station (BS) is equipped with a large number of antennas for communicating with single-antenna mobile users. In such a system the BS has to estimate the channel state information (CSI) that includes large-scale fading coefficients (LSFCs) and small-scale fading coefficients ...
متن کاملExploiting Channel Reciprocity in Massive MIMO
• Massive MIMO prototype 64 Antenna array supported by 16 ExpressMIMO2 cards Centralized high end computing engine • Massive MIMO key challenges Acquisition of channel information at transmitter (CSIT); Pilot contamination; Fast and distributed coherent signal processing; Hardware impairment, etc. • Time Division Duplexing (TDD) Use TDD channel reciprocity for massive MIMO to ease...
متن کاملHierarchical Sparse Channel Estimation for Massive MIMO
The problem of wideband massive MIMO channel estimation is considered. Targeting for low complexity algorithms as well as small training overhead, a compressive sensing (CS) approach is pursued. Unfortunately, due to the Kroneckertype sensing (measurement) matrix corresponding to this setup, application of standard CS algorithms and analysis methodology does not apply. By recognizing that the c...
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ژورنال
عنوان ژورنال: International Journal of Antennas and Propagation
سال: 2014
ISSN: 1687-5869,1687-5877
DOI: 10.1155/2014/848071