C
Constantinos Psomas
Researcher at University of Cyprus
Publications - 109
Citations - 1023
Constantinos Psomas is an academic researcher from University of Cyprus. The author has contributed to research in topics: Wireless & Computer science. The author has an hindex of 13, co-authored 87 publications receiving 674 citations. Previous affiliations of Constantinos Psomas include Cyprus University of Technology.
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Network Mapping by Replaying Hyperbolic Growth
TL;DR: HyperMap is presented, a simple method to map a given real network to its hyperbolic space and has a remarkable predictive power: Using the resulting map, it can predict missing links in the Internet with high precision, outperforming popular existing methods.
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Network mapping by replaying hyperbolic growth
TL;DR: HyperMap as discussed by the authors is a simple method to map a real network to its hyperbolic space by replays the network's geometric growth, estimating at each time-step the hyper-bolic coordinates of new nodes in a growing network by maximizing the likelihood of the network snapshot in the model.
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Mobility Management in Ultra-Dense Networks: Handover Skipping Techniques
TL;DR: Two intelligent handover skipping techniques are proposed to overcome the high handover rates and handover cost and outperform the conventional techniques for moderate to high-velocity values.
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Survey on energy harvesting wireless communications: Challenges and opportunities for radio resource allocation
TL;DR: The energy cooperation aspect of energy harvesting is addressed in detail which has emerged as an interesting area of research recently and some open challenges for future research and scope for innovation in this emerging area are summarized.
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Impact of Directionality on Interference Mitigation in Full-Duplex Cellular Networks
TL;DR: In this paper, the authors consider two fundamental FD architectures, two-node and three-node, in the context of cellular networks where the terminals employ directional antennas and derive the optimal values for the density fraction of each architecture, which maximize the success probability and the network throughput.