10,779 research outputs found
Spatial networks with wireless applications
Many networks have nodes located in physical space, with links more common
between closely spaced pairs of nodes. For example, the nodes could be wireless
devices and links communication channels in a wireless mesh network. We
describe recent work involving such networks, considering effects due to the
geometry (convex,non-convex, and fractal), node distribution,
distance-dependent link probability, mobility, directivity and interference.Comment: Review article- an amended version with a new title from the origina
On the effect of blockage objects in dense MIMO SWIPT networks
Simultaneous information and power transfer (SWIPT) is characterised by the
ambiguous role of multi-user interference. In short, the beneficial effect of
multi-user interference on RF energy harvesting is obtained at the price of a
reduced link capacity, thus originating nontrivial trade-offs between the
achievable information rate and the harvestable energy. Arguably, in indoor
environments, this trade-off might be affected by the propagation loss due to
blockage objects like walls. Hence, a couple of fundamental questions arise.
How much must the network elements be densified to counteract the blockage
attenuation? Is blockage always detrimental on the achievable rate-energy
trade-off? In this paper, we analyse the performance of an indoor
multiple-input multiple-output (MIMO) SWIPT-enabled network in the attempt to
shed a light of those questions. The effects of the obstacles are examined with
the help of a stochastic approach in which energy transmitters (also referred
to as power heads) are located by using a Poisson Point Process and walls are
generated through a Manhattan Poisson Line Process. The stochastic behaviour of
the signal attenuation and the multi-user interference is studied to obtain the
Joint Complementary Cumulative Distribution Function (J-CCDF) of information
rate and harvested power. Theoretical results are validated through Monte Carlo
simulations. Eventually, the rate-energy trade-off is presented as a function
of the frequency of walls to emphasise the cross-dependences between the
deployment of the network elements and the topology of the venue
On Modeling Coverage and Rate of Random Cellular Networks under Generic Channel Fading
In this paper we provide an analytic framework for computing the expected
downlink coverage probability, and the associated data rate of cellular
networks, where base stations are distributed in a random manner. The provided
expressions are in computable integral forms that accommodate generic channel
fading conditions. We develop these expressions by modelling the cellular
interference using stochastic geometry analysis, then we employ them for
comparing the coverage resulting from various channel fading conditions namely
Rayleigh and Rician fading, in addition to the fading-less channel.
Furthermore, we expand the work to accommodate the effects of random frequency
reuse on the cellular coverage and rate. Monte-Carlo simulations are conducted
to validate the theoretical analysis, where the results show a very close
match
A universal approach to coverage probability and throughput analysis for cellular networks
This paper proposes a novel tractable approach for accurately analyzing both the coverage probability and the achievable throughput of cellular networks. Specifically, we derive a new procedure referred to as the equivalent uniformdensity plane-entity (EUDPE)method for evaluating the other-cell interference. Furthermore, we demonstrate that our EUDPE method provides a universal and effective means to carry out the lower bound analysis of both the coverage probability and the average throughput for various base-station distribution models that can be found in practice, including the stochastic Poisson point process (PPP) model, a uniformly and randomly distributed model, and a deterministic grid-based model. The lower bounds of coverage probability and average throughput calculated by our proposed method agree with the simulated coverage probability and average throughput results and those obtained by the existing PPP-based analysis, if not better. Moreover, based on our new definition of cell edge boundary, we show that the cellular topology with randomly distributed base stations (BSs) only tends toward the Voronoi tessellation when the path-loss exponent is sufficiently high, which reveals the limitation of this popular network topology
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