TY - GEN
T1 - Joint Load Balancing and Power Allocation for Hybrid VLC/RF Networks
AU - Obeed, Mohanad
AU - Salhab, Anas M.
AU - Zummo, Salam A.
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2018/1/15
Y1 - 2018/1/15
N2 - In this paper, we propose and study a new joint load balancing (LB) and power allocation (PA) scheme for a hybrid visible light communication (VLC) and radio frequency (RF) system consisting of one RF\access point (AP) and multiple VLC\APs. An iterative algorithm is proposed to distribute the users on the APs and distribute the powers of these APs on their users. In PA subproblem, an optimization problem is formulated to allocate the power of each AP to the connected users for the total achievable data rates maximization. It is proved that the PA optimization problem is concave but not easy to tackle. Therefore, we provide a new algorithm to obtain the optimal dual variables after formulating them in terms of each other. Then, the users that are connected to the overloaded APs and receive less data rates start seeking for other APs that offer higher data rates. Users with lower data rates continue re-connecting from AP to other to balance the load only if this travel increases the summation of the achievable data rates and enhances the system fairness. The numerical results demonstrate that the proposed algorithms improve the system capacity and system fairness with fast convergence.
AB - In this paper, we propose and study a new joint load balancing (LB) and power allocation (PA) scheme for a hybrid visible light communication (VLC) and radio frequency (RF) system consisting of one RF\access point (AP) and multiple VLC\APs. An iterative algorithm is proposed to distribute the users on the APs and distribute the powers of these APs on their users. In PA subproblem, an optimization problem is formulated to allocate the power of each AP to the connected users for the total achievable data rates maximization. It is proved that the PA optimization problem is concave but not easy to tackle. Therefore, we provide a new algorithm to obtain the optimal dual variables after formulating them in terms of each other. Then, the users that are connected to the overloaded APs and receive less data rates start seeking for other APs that offer higher data rates. Users with lower data rates continue re-connecting from AP to other to balance the load only if this travel increases the summation of the achievable data rates and enhances the system fairness. The numerical results demonstrate that the proposed algorithms improve the system capacity and system fairness with fast convergence.
UR - http://hdl.handle.net/10754/627958
UR - https://ieeexplore.ieee.org/document/8254783/
UR - http://www.scopus.com/inward/record.url?scp=85046455231&partnerID=8YFLogxK
U2 - 10.1109/GLOCOM.2017.8254783
DO - 10.1109/GLOCOM.2017.8254783
M3 - Conference contribution
SN - 9781509050192
SP - 1
EP - 6
BT - GLOBECOM 2017 - 2017 IEEE Global Communications Conference
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -