—Achieving high Quality of Service (QoS) is one of
the important goals in the latest 5G Heterogeneous Networks
(HetNets) environments. However, ensuring fairness among users
with Reduced Power Consumption (RPC) is a major challenge.
Although several studies have examined the joint issue of User
Association (UA), Resource Allocation (RA), and Power Allocation (PA), there is still no optimal solution that achieves QoS
fairness and RPC with low complexity and processing time. This
paper proposes the Power-Performance Efficient Adaptive Genetic Algorithm (P
2EAGA) for solving the UA-RA-PA problem
in HetNets. Simulation results show that P
2EAGA outperforms
existing schemes in terms of variability, fairness, RPC, and
QoS, including throughput, packet loss ratio, delay, and jitter.
Simulation results also show that P
2EAGA generates solutions
that are very close to the optimal global solution compared to
the Default Genetic Algorithm.
Item Type:
Conference or Workshop Item (Paper)
Event Type:
Conference
Refereed:
Yes
Uncontrolled Keywords:
Power demand; Simulation; Packet loss; Quality of service; Throughput;
Quality assessment; Resource management
Science Foundation Ireland (SFI) via grants 18/CRT/6224 (SFI Centre for Research Training in Digitally-Enhanced Reality D-REAL), 16/SP/3804 (Enable) and 12/RC/2289 P2 (Insight SFI Centre for Data Analytics)
ID Code:
28023
Deposited On:
18 Jan 2023 10:34 by
Bharat Agarwal
. Last Modified 18 Jan 2023 10:34