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Angel Lozano
Researcher at Pompeu Fabra University
Publications - 226
Citations - 21431
Angel Lozano is an academic researcher from Pompeu Fabra University. The author has contributed to research in topics: MIMO & Communication channel. The author has an hindex of 51, co-authored 210 publications receiving 19109 citations. Previous affiliations of Angel Lozano include VTT Technical Research Centre of Finland & Alcatel-Lucent.
Papers
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What Will 5G Be
Jeffrey G. Andrews,Stefano Buzzi,Wan Choi,Stephen V. Hanly,Angel Lozano,Anthony C. K. Soong,Jianzhong Charlie Zhang +6 more
TL;DR: This paper discusses all of these topics, identifying key challenges for future research and preliminary 5G standardization activities, while providing a comprehensive overview of the current literature, and in particular of the papers appearing in this special issue.
Journal ArticleDOI
Five disruptive technology directions for 5G
TL;DR: In this article, the authors describe five technologies that could lead to both architectural and component disruptive design changes: device-centric architectures, millimeter wave, massive MIMO, smarter devices, and native support for machine-to-machine communications.
Journal ArticleDOI
Optimum power allocation for parallel Gaussian channels with arbitrary input distributions
TL;DR: This paper gives the power allocation policy that maximizes the mutual information over parallel channels with arbitrary input distributions, and admits a graphical interpretation, referred to as mercury/waterfilling, which generalizes the waterfilling solution and allows retaining some of its intuition.
Posted Content
What Will 5G Be
Jeffrey G. Andrews,Stefano Buzzi,Wan Choi,Stephen V. Hanly,Angel Lozano,Anthony C. K. Soong,Jianzhong Charlie Zhang +6 more
TL;DR: In this paper, the authors identify key challenges for future research and preliminary 5G standardization activities, while providing a comprehensive overview of the current literature, and in particular of the papers appearing in this special issue.
Journal ArticleDOI
Impact of antenna correlation on the capacity of multiantenna channels
TL;DR: This paper applies random matrix theory to obtain analytical characterizations of the capacity of correlated multiantenna channels that uncover compact capacity expansions that are valid for arbitrary numbers of antennas and that shed insight on how antenna correlation impacts the tradeoffs among power, bandwidth, and rate.