53 research outputs found
Spatial and Temporal Correlation of the Interference in ALOHA Ad Hoc Networks
Interference is a main limiting factor of the performance of a wireless ad
hoc network. The temporal and the spatial correlation of the interference makes
the outages correlated temporally (important for retransmissions) and spatially
correlated (important for routing). In this letter we quantify the temporal and
spatial correlation of the interference in a wireless ad hoc network whose
nodes are distributed as a Poisson point process on the plane when ALOHA is
used as the multiple-access scheme
Packet Travel Times in Wireless Relay Chains under Spatially and Temporally Dependent Interference
We investigate the statistics of the number of time slots that it takes a
packet to travel through a chain of wireless relays. Derivations are performed
assuming an interference model for which interference possesses spatiotemporal
dependency properties. When using this model, results are harder to arrive at
analytically, but they are more realistic than the ones obtained in many
related works that are based on independent interference models.
First, we present a method for calculating the distribution of . As the
required computations are extensive, we also obtain simple expressions for the
expected value and variance . Finally, we
calculate the asymptotic limit of the average speed of the packet. Our
numerical results show that spatiotemporal dependence has a significant impact
on the statistics of the travel time . In particular, we show that, with
respect to the independent interference case, and
increase, whereas the packet speed decreases
On Modeling Heterogeneous Wireless Networks Using Non-Poisson Point Processes
Future wireless networks are required to support 1000 times higher data rate,
than the current LTE standard. In order to meet the ever increasing demand, it
is inevitable that, future wireless networks will have to develop seamless
interconnection between multiple technologies. A manifestation of this idea is
the collaboration among different types of network tiers such as macro and
small cells, leading to the so-called heterogeneous networks (HetNets).
Researchers have used stochastic geometry to analyze such networks and
understand their real potential. Unsurprisingly, it has been revealed that
interference has a detrimental effect on performance, especially if not modeled
properly. Interference can be correlated in space and/or time, which has been
overlooked in the past. For instance, it is normally assumed that the nodes are
located completely independent of each other and follow a homogeneous Poisson
point process (PPP), which is not necessarily true in real networks since the
node locations are spatially dependent. In addition, the interference
correlation created by correlated stochastic processes has mostly been ignored.
To this end, we take a different approach in modeling the interference where we
use non-PPP, as well as we study the impact of spatial and temporal correlation
on the performance of HetNets. To illustrate the impact of correlation on
performance, we consider three case studies from real-life scenarios.
Specifically, we use massive multiple-input multiple-output (MIMO) to
understand the impact of spatial correlation; we use the random medium access
protocol to examine the temporal correlation; and we use cooperative relay
networks to illustrate the spatial-temporal correlation. We present several
numerical examples through which we demonstrate the impact of various
correlation types on the performance of HetNets.Comment: Submitted to IEEE Communications Magazin
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