TY - JOUR
T1 - Downlink resource allocation for dynamic TDMA-based VLC systems
AU - Abdelhady, Amr Mohamed Abdelaziz
AU - Amin, Osama
AU - Chaaban, Anas
AU - Shihada, Basem
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: His work was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC).
PY - 2018/10/30
Y1 - 2018/10/30
N2 - Visible light communications (VLC) in general and resource allocation for VLC networks particularly have gained lots of attention recently. In this work, we consider the resource allocation problem of a VLC downlink transmission system employing dynamic time division multiple access where time and power variables are tuned to maximize spectral efficiency (SE). As for the operational conditions, we impose constraints on the average optical intensity, the energy budget and the quality-of-service. To solve the non-convex problem, we transform the objective function into a difference of concave functions by solving a second order differential inequality. Then, we propose a low-complexity algorithm to solve the resource allocation problem. Finally, we show by simulations the SE performance gains achieved by optimizing time and power allocation over the initial total power minimization solution for the considered system.
AB - Visible light communications (VLC) in general and resource allocation for VLC networks particularly have gained lots of attention recently. In this work, we consider the resource allocation problem of a VLC downlink transmission system employing dynamic time division multiple access where time and power variables are tuned to maximize spectral efficiency (SE). As for the operational conditions, we impose constraints on the average optical intensity, the energy budget and the quality-of-service. To solve the non-convex problem, we transform the objective function into a difference of concave functions by solving a second order differential inequality. Then, we propose a low-complexity algorithm to solve the resource allocation problem. Finally, we show by simulations the SE performance gains achieved by optimizing time and power allocation over the initial total power minimization solution for the considered system.
UR - http://hdl.handle.net/10754/628873
UR - https://ieeexplore.ieee.org/document/8515272
UR - http://www.scopus.com/inward/record.url?scp=85055861778&partnerID=8YFLogxK
U2 - 10.1109/TWC.2018.2877629
DO - 10.1109/TWC.2018.2877629
M3 - Article
SN - 1536-1276
VL - 18
SP - 108
EP - 120
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 1
ER -