The latest Heterogeneous Network (HetNet) environments, supported by 5th generation (5G) network solutions,
include small cells deployed to increase the traditional macrocell network performance. In HetNet environments, before data
transmission starts, there is a user association (UA) process with a
specific base station (BS). Additionally, during data transmission,
diverse resource allocation (RA) schemes are employed. UA-RA
solutions play a critical role in improving network load balancing,
spectral performance, and energy efficiency. Although several
studies have examined the joint UA-RA problem, there is no
optimal strategy to address it with low complexity while also
reducing the time overhead. We propose two different versions of
simulated annealing (SA): Reduced Search Space SA (RS3A) and
Performance-Improved Reduced Search Space SA (P IRS3A),
algorithms for solving UA-RA problem in HetNets. First, the
UA-RA problem is formulated as a multiple knapsack problem
(MKP) with constraints on the maximum BS capacity and
transport block size (TBS) index. Second, the proposed RS3A
and P IRS3A are used to solve the formulated MKP. Simulation
results show that the proposed scheme P IRS3A outperforms
RS3A and other existing schemes such as Default Simulated
Annealing (DSA), and Default Genetic Algorithm (DGA) in terms
of variability and DSA and RS3A in terms of Quality of Service
(QoS) metrics, including throughput, packet loss ratio (PLR),
delay and jitter. Simulation results show that P IRS3A generates
solutions that are very close to the optimal solution.
Science Foundation Ireland Centre for Research Training in Digitally-Enhanced Reality (D-REAL) under Grant No. 18/CRT/6224., Science Foundation Ireland (SFI) support via the research grants 16/SP/3804 (Enable) and 12/RC/2289 P2 (Insight)
ID Code:
28020
Deposited On:
17 Jan 2023 15:33 by
Bharat Agarwal
. Last Modified 17 Jan 2023 15:33