TY - JOUR
T1 - PlaciFi
T2 - Orchestrating Optimal 3D Access Point Placement for LiFi-WiFi Heterogeneous Networks
AU - Vijayaraghavan, Hansini
AU - Von Mankowski, Jorg
AU - Mas-Machuca, Carmen
AU - Kellerer, Wolfgang
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2023
Y1 - 2023
N2 - This paper presents PlaciFi, a comprehensive framework for orchestrating optimal 3D Access Point (AP) placement in LiFi-WiFi heterogeneous networks. Integrating LiFi and WiFi technologies allows leveraging of their strengths in different use cases and environments. This has resulted in new challenges in the effective deployment of APs. To address these challenges, PlaciFi extends traditional network planning approaches by incorporating the three-dimensional positioning of APs. The framework formulates a multi-objective optimization problem to minimize the AP count and maximize the rate coverage while considering illumination uniformity constraints for consistent illumination throughout the coverage area. PlaciFi introduces the consideration of user technology occurrence probability to tailor AP placement based on user requirements, improving network performance and user satisfaction. Various solution methods, including heuristics, meta-heuristics, and off-the-shelf solvers, are explored to offer flexibility to network planners. Through extensive evaluations and simulations, PlaciFi demonstrates its effectiveness in achieving optimal AP placement, balancing infrastructure costs and network performance. The contributions of PlaciFi advance the field of network planning in LiFi-WiFi heterogeneous networks, enabling the deployment of efficient and reliable networks.
AB - This paper presents PlaciFi, a comprehensive framework for orchestrating optimal 3D Access Point (AP) placement in LiFi-WiFi heterogeneous networks. Integrating LiFi and WiFi technologies allows leveraging of their strengths in different use cases and environments. This has resulted in new challenges in the effective deployment of APs. To address these challenges, PlaciFi extends traditional network planning approaches by incorporating the three-dimensional positioning of APs. The framework formulates a multi-objective optimization problem to minimize the AP count and maximize the rate coverage while considering illumination uniformity constraints for consistent illumination throughout the coverage area. PlaciFi introduces the consideration of user technology occurrence probability to tailor AP placement based on user requirements, improving network performance and user satisfaction. Various solution methods, including heuristics, meta-heuristics, and off-the-shelf solvers, are explored to offer flexibility to network planners. Through extensive evaluations and simulations, PlaciFi demonstrates its effectiveness in achieving optimal AP placement, balancing infrastructure costs and network performance. The contributions of PlaciFi advance the field of network planning in LiFi-WiFi heterogeneous networks, enabling the deployment of efficient and reliable networks.
KW - Access point placement
KW - light fidelity (LiFi)
KW - multi-objective optimization
KW - wireless fidelity (WiFi)
UR - http://www.scopus.com/inward/record.url?scp=85174801073&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2023.3325097
DO - 10.1109/ACCESS.2023.3325097
M3 - Article
AN - SCOPUS:85174801073
SN - 2169-3536
VL - 11
SP - 115415
EP - 115429
JO - IEEE Access
JF - IEEE Access
ER -