TY - JOUR
T1 - On Optimal Resource Allocation for Hybrid VLC/RF Networks with Common Backhaul
AU - Papanikolaou, Vasilis K.
AU - Diamantoulakis, Panagiotis D.
AU - Sofotasios, Paschalis C.
AU - Muhaidat, Sami
AU - Karagiannidis, George K.
N1 - Funding Information:
Manuscript received December 28, 2018; revised July 27, 2019 and October 28, 2019; accepted December 4, 2019. Date of publication January 3, 2020; date of current version March 6, 2020. This work was supported in part by Khalifa University under Grant KU/FSU-8474000122 and Grant KU/RC1-C2PS-T2/8474000137. This paper was presented in part at IEEE Wireless Communications and Networking Conference 2018 (IEEE WCNC’18) [1]. The associate editor coordinating the review of this article and approving it for publication was H. Haas. (Corresponding author: Panagiotis D. Diamantoulakis.) Vasilis K. Papanikolaou, Panagiotis D. Diamantoulakis, and George K. Karagiannidis are with the Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece (e-mail: [email protected]; [email protected]; [email protected]).
Publisher Copyright:
© 2015 IEEE.
PY - 2020/3
Y1 - 2020/3
N2 - The synergy between visible light communication (VLC) and radio frequency (RF) networks has attracted a considerable amount of attention due to the envisioned improvements compared to conventional systems, mainly in terms of data rate and coverage. In this paper, we investigate for the first time the coexistence of VLC and RF networks, assuming that both networks are served by a common backhaul network, as well as both perfect and imperfect channel state information (CSI). In this context, we propose an optimal resource allocation scheme that maximizes the corresponding data rate, while also taking into account the fairness among the involved users. This is of paramount importance because in such heterogeneous networks, a standard rate maximization approach yields a severely degraded performance for the weaker users. In order to provide a tractable solution to the formulated problem, which is non-convex, we transform this into an equivalent convex one. Moreover, a simplified power allocation problem is solved, which provides comparable results with substantially lower complexity. Finally, extensive simulations illustrate the validity and effectiveness of the proposed analysis, and provide valuable insights on the impact of the imperfect CSI on the overall network performance.
AB - The synergy between visible light communication (VLC) and radio frequency (RF) networks has attracted a considerable amount of attention due to the envisioned improvements compared to conventional systems, mainly in terms of data rate and coverage. In this paper, we investigate for the first time the coexistence of VLC and RF networks, assuming that both networks are served by a common backhaul network, as well as both perfect and imperfect channel state information (CSI). In this context, we propose an optimal resource allocation scheme that maximizes the corresponding data rate, while also taking into account the fairness among the involved users. This is of paramount importance because in such heterogeneous networks, a standard rate maximization approach yields a severely degraded performance for the weaker users. In order to provide a tractable solution to the formulated problem, which is non-convex, we transform this into an equivalent convex one. Moreover, a simplified power allocation problem is solved, which provides comparable results with substantially lower complexity. Finally, extensive simulations illustrate the validity and effectiveness of the proposed analysis, and provide valuable insights on the impact of the imperfect CSI on the overall network performance.
KW - backhaul network
KW - convex optimization
KW - energy efficiency
KW - hybrid VLC/RF
KW - imperfect CSI
KW - resource allocation
KW - Visible light communications
UR - http://www.scopus.com/inward/record.url?scp=85081788952&partnerID=8YFLogxK
U2 - 10.1109/TCCN.2019.2963879
DO - 10.1109/TCCN.2019.2963879
M3 - Article
AN - SCOPUS:85081788952
SN - 2332-7731
VL - 6
SP - 352
EP - 365
JO - IEEE Transactions on Cognitive Communications and Networking
JF - IEEE Transactions on Cognitive Communications and Networking
IS - 1
M1 - 8949364
ER -