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Xiang Li
Researcher at University of Rostock
Publications - 21
Citations - 217
Xiang Li is an academic researcher from University of Rostock. The author has contributed to research in topics: Relay & Node (networking). The author has an hindex of 7, co-authored 21 publications receiving 199 citations.
Papers
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Proceedings ArticleDOI
Reinforcement learning for energy harvesting point-to-point communications
TL;DR: Numerical results show that the performance of the proposed approach, which requires only causal knowledge of the energy harvesting process and channel coefficients, has only a small degradation compared to the optimum case which requires perfect non-causal knowledge.
Journal ArticleDOI
Reinforcement Learning for Energy Harvesting Decode-and-Forward Two-Hop Communications
TL;DR: The proposed approach has only a small degradation as compared to the offline optimum case and with the use of the proposed feature functions a better performance is achieved compared to standard approximation techniques.
Journal ArticleDOI
Maximizing the Sum Rate in Cellular Networks Using Multiconvex Optimization
TL;DR: In this paper, the sum-rate maximization problem is formulated as an equivalent multiconvex optimization problem by adding two sets of auxiliary variables, and an iterative algorithm, which alternatingly adjusts the system variables and the auxiliary variables is proposed to solve the multiconvolutional optimization problem and converges to a stationary point.
Uplink-Downlink Duality of Interference Alignment in Cellular Relay Networks
TL;DR: A two-step procedure first nullifying the intercell interferences following the idea of relay-aided interference alignment and then designing a zero-forcing filter for each base station to suppress the intra-cell intererences is proposed to obtain the dual interference alignment solutions.
Proceedings ArticleDOI
Feasibility Conditions for Relay-Aided Interference Alignment in Partially Connected Networks
TL;DR: This paper investigates the feasibility conditions for relay-aided interference alignment in a class of partially connected networks and shows that the required number of relays depends on the rank of the incidence matrix of a graph defined by the topology of the direct links.