3,806 research outputs found
Amplify-and-Forward Relaying in Two-Hop Diffusion-Based Molecular Communication Networks
This paper studies a three-node network in which an intermediate
nano-transceiver, acting as a relay, is placed between a nano-transmitter and a
nano-receiver to improve the range of diffusion-based molecular communication.
Motivated by the relaying protocols used in traditional wireless communication
systems, we study amplify-and-forward (AF) relaying with fixed and variable
amplification factor for use in molecular communication systems. To this end,
we derive a closed-form expression for the expected end-to-end error
probability. Furthermore, we derive a closed-form expression for the optimal
amplification factor at the relay node for minimization of an approximation of
the expected error probability of the network. Our analytical and simulation
results show the potential of AF relaying to improve the overall performance of
nano-networks.Comment: 7 pages, 6 figures, 1 table. Submitted to the 2015 IEEE Global
Communications Conference (GLOBECOM) on April 15, 201
Diffusive MIMO Molecular Communications: Channel Estimation, Equalization and Detection
In diffusion-based communication, as for molecular systems, the achievable
data rate is low due to the stochastic nature of diffusion which exhibits a
severe inter-symbol-interference (ISI). Multiple-Input Multiple-Output (MIMO)
multiplexing improves the data rate at the expense of an inter-link
interference (ILI). This paper investigates training-based channel estimation
schemes for diffusive MIMO (D-MIMO) systems and corresponding equalization
methods. Maximum likelihood and least-squares estimators of mean channel are
derived, and the training sequence is designed to minimize the mean square
error (MSE). Numerical validations in terms of MSE are compared with Cramer-Rao
bound derived herein. Equalization is based on decision feedback equalizer
(DFE) structure as this is effective in mitigating diffusive ISI/ILI.
Zero-forcing, minimum MSE and least-squares criteria have been paired to DFE,
and their performances are evaluated in terms of bit error probability. Since
D-MIMO systems are severely affected by the ILI because of short transmitters
inter-distance, D-MIMO time interleaving is exploited as countermeasure to
mitigate the ILI with remarkable performance improvements. The feasibility of a
block-type communication including training and data equalization is explored
for D-MIMO, and system-level performances are numerically derived.Comment: Accepted paper at IEEE transaction on Communicatio
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