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differential-structure
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Channel Estimation in Massive MIMO Systems in Modern Cellular Networks
, M.Sc. Thesis Sharif University of Technology ; Hossein Khalaj, Babak (Supervisor)
Abstract
Telecommunications industry along energy industry will be among striking elements in improving next-generation lifestyle. With the growth of wireless communications at the heart of telecommunications industry, cellular networks as an inevitable part of our daily life, have been around as a fertile research field for both academia and industry. With the upcoming Heterogeneous Networks (HetNets), these researches are revisited to new horizons. After these shift paradigms,the proposed solutions, mostly fall into the category of network densification in terms of antenna per (active) user. Based on the strategy chosen to densify the network, we face two broad approaches: 1) Centralized...
Differentially encoded blind multicell multiuser massive MIMO
, Article IEEE International Conference on Communication Workshop, ICCW 2015, 8 June 2015 through 12 June 2015 ; June , 2015 , Pages 1054-1059 ; 9781467363051 (ISBN) ; Khalaj, B. H ; Pesavento, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2015
Abstract
In this paper, we consider the uplink of the narrowband multicell multiuser massive multiple-input multiple-output (MIMO) systems. In traditional approaches, orthogonal pilots among users of all (interfering) cells are utilized to estimate their channels assumed to be constant during channel coherence time. However, in multicell scenarios, such schemes suffer from pilot contamination. In order to address this issue, based on asymptotic pairwise orthogonality of the users' channels in massive regime, blind channel estimation schemes have been proposed. On the other hand, such schemes rely on low interference or high signal to noise ratio (SNR) levels, to achieve reliable performance. Inspired...