20 research outputs found
Fundamentals of Clustered Molecular Nanonetworks
We present a comprehensive approach to the modeling, performance analysis,
and design of clustered molecular nanonetworks in which nano-machines of
different clusters release an appropriate number of molecules to transmit their
sensed information to their respective fusion centers. The fusion centers
decode this information by counting the number of molecules received in the
given time slot. Owing to the propagation properties of the biological media,
this setup suffers from both inter- and intra-cluster interference that needs
to be carefully modeled. To facilitate rigorous analysis, we first develop a
novel spatial model for this setup by modeling nano-machines as a Poisson
cluster process with the fusion centers forming its parent point process. For
this setup, we first derive a new set of distance distributions in the
three-dimensional space, resulting in a remarkably simple result for the
special case of the Thomas cluster process. Using this, total interference from
previous symbols and different clusters is characterized and its expected value
and Laplace transform are obtained. The error probability of a simple detector
suitable for biological applications is analyzed, and approximate and
upper-bound results are provided. The impact of different parameters on the
performance is also investigated.Comment: Accepted for publicatio
Stochastic Geometry Modeling and Analysis of Single- and Multi-Cluster Wireless Networks
This paper develops a stochastic geometry-based approach for the modeling and
analysis of single- and multi-cluster wireless networks. We first define finite
homogeneous Poisson point processes to model the number and locations of the
transmitters in a confined region as a single-cluster wireless network. We
study the coverage probability for a reference receiver for two strategies;
closest-selection, where the receiver is served by the closest transmitter
among all transmitters, and uniform-selection, where the serving transmitter is
selected randomly with uniform distribution. Second, using Matern cluster
processes, we extend our model and analysis to multi-cluster wireless networks.
Here, the receivers are modeled in two types, namely, closed- and open-access.
Closed-access receivers are distributed around the cluster centers of the
transmitters according to a symmetric normal distribution and can be served
only by the transmitters of their corresponding clusters. Open-access
receivers, on the other hand, are placed independently of the transmitters and
can be served by all transmitters. In all cases, the link distance distribution
and the Laplace transform (LT) of the interference are derived. We also derive
closed-form lower bounds on the LT of the interference for single-cluster
wireless networks. The impact of different parameters on the performance is
also investigated
Robust Successive Compute-and-Forward over Multi-User Multi-Relay Networks
This paper develops efficient Compute-and-forward (CMF) schemes in multi-user
multi-relay networks. To solve the rank failure problem in CMF setups and to
achieve full diversity of the network, we introduce two novel CMF methods,
namely, extended CMF and successive CMF. The former, having low complexity, is
based on recovering multiple equations at relays. The latter utilizes
successive interference cancellation (SIC) to enhance the system performance
compared to the state-of-the-art schemes. Both methods can be utilized in a
network with different number of users, relays, and relay antennas, with
negligible feedback channels or signaling overhead. We derive new concise
formulations and explicit framework for the successive CMF method as well as an
approach to reduce its computational complexity. Our theoretical analysis and
computer simulations demonstrate the superior performance of our proposed CMF
methods over the conventional schemes. Furthermore, based on our simulation
results, the successive CMF method yields additional signal-to-noise ratio
gains and shows considerable robustness against channel estimation error,
compared to the extended CMF method.Comment: 44 pages, 10 figures, 1 table, accepted to be published in IEEE
Trans. on Vehicular Tec
Integer Forcing-and-Forward Transceiver Design for MIMO Multi-Pair Two-Way Relaying
In this paper, we propose a new transmission scheme, named as Integer
Forcing-and-Forward (IFF), for communications among multi-pair multiple-antenna
users in which each pair exchanges their messages with the help of a single
multi antennas relay in the multiple-access and broadcast phases. The proposed
scheme utilizes Integer Forcing Linear Receiver (IFLR) at relay, which uses
equations, i.e., linear integer-combinations of messages, to harness the
intra-pair interference. Accordingly, we propose the design of mean squared
error (MSE) based transceiver, including precoder and projection matrices for
the relay and users, assuming that the perfect channel state information (CSI)
is available. In this regards, in the multiple-access phase, we introduce two
new MSE criteria for the related precoding and filter designs, i.e., the sum of
the equations MSE (Sum-Equation MSE) and the maximum of the equations MSE
(Max-Equation MSE), to exploit the equations in the relay. In addition, the
convergence of the proposed criteria is proven as well. Moreover, in the
broadcast phase, we use the two traditional MSE criteria, i.e. the sum of the
users' mean squred errors (Sum MSE) and the maximum of the users' mean squared
errors (Max MSE), to design the related precoding and filters for recovering
relay's equations by the users. Then, we consider a more practical scenario
with imperfect CSI. For this case, IFLR receiver is modified, and another
transceiver design is proposed, which take into account the effect of channels
estimation error. We evaluate the performance of our proposed strategy and
compare the results with the conventional amplify-and-forward (AF) and
denoise-and-forward (DF) strategies for the same scenario. The results indicate
the substantial superiority of the proposed strategy in terms of the outage
probability and the sum rate.Comment: 30 pages, 7 figures, Submitted to a IEEE journa
Stochastic Geometry Modeling and Analysis of Finite Millimeter Wave Wireless Networks
This paper develops a stochastic geometry-based approach for the modeling and
analysis of finite millimeter wave (mmWave) wireless networks where a random
number of transmitters and receivers are randomly located inside a finite
region. We consider a selection strategy to serve a reference receiver by the
transmitter providing the maximum average received power among all
transmitters. Considering the unique features of mmWave communications such as
directional transmit and receive beamforming and having different channels for
line-of-sight (LOS) and non-line-of-sight (NLOS) links according to the
blockage process, we study the coverage probability and the ergodic rate for
the reference receiver that can be located everywhere inside the network
region. As key steps for the analyses, the distribution of the distance from
the reference receiver to its serving LOS or NLOS transmitter and LOS and NLOS
association probabilities are derived. We also derive the Laplace transform of
the interferences from LOS and NLOS transmitters. Finally, we propose upper and
lower bounds on the coverage probability that can be evaluated easier than the
exact results, and investigate the impact of different parameters including the
receiver location, the beamwidth, and the blockage process exponent on the
system performance