125 research outputs found
Characterizing the Energy Trade-Offs of End-to-End Vehicular Communications using an Hyperfractal Urban Modelling
We characterize trade-offs between the end-to-end communication delay and the
energy in urban vehicular communications with infrastructure assistance. Our
study exploits the self-similarity of the location of communication entities in
cities by modeling them with an innovative model called "hyperfractal". We show
that the hyperfractal model can be extended to incorporate road-side
infrastructure and provide stochastic geometry tools to allow a rigorous
analysis. We compute theoretical bounds for the end-to-end communication hop
count considering two different energy-minimizing goals: either total
accumulated energy or maximum energy per node. We prove that the hop count for
an end-to-end transmission is bounded by where
is the fractal dimension of the mobile nodes process.
This proves that for both constraints the energy decreases as we allow choosing
routing paths of higher length. The asymptotic limit of the energy becomes
significantly small when the number of nodes becomes asymptotically large. A
lower bound on the network throughput capacity with constraints on path energy
is also given. We show that our model fits real deployments where open data
sets are available. The results are confirmed through simulations using
different fractal dimensions in a Matlab simulator
State-of-the-art assessment of 5G mmWave communications
Deliverable D2.1 del proyecto 5GWirelessMain objective of the European 5Gwireless project, which is part of the H2020 Marie Slodowska-
Curie ITN (Innovative Training Networks) program resides in the training and involvement of young
researchers in the elaboration of future mobile communication networks, focusing on innovative
wireless technologies, heterogeneous network architectures, new topologies (including ultra-dense
deployments), and appropriate tools. The present Document D2.1 is the first deliverable of Work-
Package 2 (WP2) that is specifically devoted to the modeling of the millimeter-wave (mmWave)
propagation channels, and development of appropriate mmWave beamforming and signal
processing techniques. Deliver D2.1 gives a state-of-the-art on the mmWave channel measurement,
characterization and modeling; existing antenna array technologies, channel estimation and
precoding algorithms; proposed deployment and networking techniques; some performance
studies; as well as a review on the evaluation and analysis toolsPostprint (published version
A novel optimal small cells deployment for next-generation cellular networks
Small-cell-deployments have pulled cellular operators to boost coverage and capacity in high-demand areas (for example, downtown hot spots). The location of these small cells (SCs) should be determined in order to achieve successful deployments. In this paper, we propose a new approach that optimizes small cells deployment in cellular networks to achieve three objectives: reduce the total cost of network installation, balancing the allocation of resources, i.e. placement of each SC and their transmitted power, and providing optimal coverage area with a lower amount of interference between adjacent stations. An accurate formula was obtained to determine the optimum number of SC deployment (NSC). Finally, we derive a mathematical expression to calculate the critical-handoff-point (CHP) for neighboring wireless stations
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