L
Lei Lei
Researcher at University of Luxembourg
Publications - 78
Citations - 2013
Lei Lei is an academic researcher from University of Luxembourg. The author has contributed to research in topics: Optimization problem & Resource allocation. The author has an hindex of 17, co-authored 78 publications receiving 1325 citations. Previous affiliations of Lei Lei include Linköping University.
Papers
More filters
Journal ArticleDOI
Satellite Communications in the New Space Era: A Survey and Future Challenges
Oltjon Kodheli,Eva Lagunas,Nicola Maturo,Shree Krishna Sharma,Bhavani Shankar,Jesus Fabian Mendoza Montoya,Juan Carlos Merlano Duncan,Danilo Spano,Symeon Chatzinotas,Steven Kisseleff,Jorge Querol,Lei Lei,Thang X. Vu,George Goussetis +13 more
TL;DR: In this article, the authors present a survey of the state of the art in satellite communications, while highlighting the most promising open research topics, such as new constellation types, on-board processing capabilities, non-terrestrial networks and space-based data collection/processing.
Journal ArticleDOI
Power and Channel Allocation for Non-orthogonal Multiple Access in 5G Systems: Tractability and Computation
TL;DR: In this article, the authors provide theoretical insights and algorithmic solutions to jointly optimize power and channel allocation in non-orthogonal multiple access (NOMA) with successive interference cancellation (SIC) for utility maximization.
Journal ArticleDOI
Learn to Cache: Machine Learning for Network Edge Caching in the Big Data Era
TL;DR: Big data analytics to advance edge caching capability is proposed, which is considered as a promising approach to improve network efficiency and alleviate the high demand for the radio resource in future networks.
Proceedings ArticleDOI
Joint Optimization of Power and Channel Allocation with Non-Orthogonal Multiple Access for 5G Cellular Systems
TL;DR: Numerical results demonstrate that the proposed algorithmic solution can significantly improve the system performance over orthogonal frequency division multiple access (OFDMA) as well as over other existing NOMA resource allocation scheme.
Journal ArticleDOI
Power and Load Coupling in Cellular Networks for Energy Optimization
TL;DR: It is proved that operating at full load is optimal in minimizing sum energy, and an iterative power adjustment algorithm is provided to obtain the corresponding optimal power solution with guaranteed convergence.