Authors :
P. Madhu; V. Sujatha
Volume/Issue :
Volume 5 - 2020, Issue 12 - December
Google Scholar :
http://bitly.ws/9nMw
Scribd :
https://bit.ly/2KMZDtY
Abstract :
The most difficult challenge in femtocells
networks is the alleviation of Inter-Cell Interference (ICI)
that occurs between macro and femtocells during robust
video transfer. Due to this issue, bandwidth utilization
and system efficiency are reduced. To avoid this issue, a
Joint dynamic Layer, Channel and Power assignment
with Further enhanced ICI Coordination and
Coordinated Multipoint Transmission (JLCP-FeICICCMT) method has been suggested for two-tier HetNets
that allocates both resources and User Equipments (UEs)
in each eNodeBs (eNBs) for increasing the network
performance. However, it partitions the bandwidth
among UEs within each cell which dissipates the
bandwidth while Resource Blocks (RBs) are utilized only
by few UEs. Therefore, in this article, a Reinforcementbased Interference Coordination Cancellation method is
proposed with the JLCP-FeICIC-CMT method, known as
JLCP-RICC-CMT. In this proposed method, the
bandwidth partition is not required. The total bandwidth
is distributed among UEs who are independent of their
locations related to the eNB within serving cell formulates
the Resource Allocation (RA) as an optimization problem.
Initially, JLCP is performed by using Genetic Algorithm
(GA) as a Policy Search-based Reinforcement (PSR).
Then, RICC scheme is performed to allow UEs in
neighbor cells to be assigned the same RBs and increase
the system efficiency. Finally, the experimental results
exhibit that the efficiency of the JLCP-RICC-CMT
method compared to the JLCP-FeICIC-CMT method.
Keywords :
Femtocells Network; Hetnets, JLCP-FeicicCMT; Resource Allocation; Genetic Algorithm; Policy Space Search Reinforcement
The most difficult challenge in femtocells
networks is the alleviation of Inter-Cell Interference (ICI)
that occurs between macro and femtocells during robust
video transfer. Due to this issue, bandwidth utilization
and system efficiency are reduced. To avoid this issue, a
Joint dynamic Layer, Channel and Power assignment
with Further enhanced ICI Coordination and
Coordinated Multipoint Transmission (JLCP-FeICICCMT) method has been suggested for two-tier HetNets
that allocates both resources and User Equipments (UEs)
in each eNodeBs (eNBs) for increasing the network
performance. However, it partitions the bandwidth
among UEs within each cell which dissipates the
bandwidth while Resource Blocks (RBs) are utilized only
by few UEs. Therefore, in this article, a Reinforcementbased Interference Coordination Cancellation method is
proposed with the JLCP-FeICIC-CMT method, known as
JLCP-RICC-CMT. In this proposed method, the
bandwidth partition is not required. The total bandwidth
is distributed among UEs who are independent of their
locations related to the eNB within serving cell formulates
the Resource Allocation (RA) as an optimization problem.
Initially, JLCP is performed by using Genetic Algorithm
(GA) as a Policy Search-based Reinforcement (PSR).
Then, RICC scheme is performed to allow UEs in
neighbor cells to be assigned the same RBs and increase
the system efficiency. Finally, the experimental results
exhibit that the efficiency of the JLCP-RICC-CMT
method compared to the JLCP-FeICIC-CMT method.
Keywords :
Femtocells Network; Hetnets, JLCP-FeicicCMT; Resource Allocation; Genetic Algorithm; Policy Space Search Reinforcement
