Data Rate Maximization in UAV-Assisted C-RAN

Xingquan Li; Cunhua Pan; Chiya Zhang; Chunlong He; Kezhi Wang

doi:10.1109/LWC.2020.3015991

Data Rate Maximization in UAV-Assisted C-RAN

Xingquan Li, Cunhua Pan, Chiya Zhang^*, Chunlong He, Kezhi Wang

^*Corresponding author for this work

Computer and Information Sciences

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

This letter considers the transmission design in unmanned aerial vehicle (UAV) assisted cloud radio access network (C-RAN). We aim to maximize data rate of the system by optimizing user equipment (UE) association, UAV placement, UEs' and UAVs' transmit power. We take UAVs as flying radio remote heads (RRHs) to serve UEs on the ground and maximize the sum rate of all the UEs. In order to solve this non-convex problem, we propose an iterative algorithm based on the successive convex approximation (SCA) and alternating iterative methods. The numerical results show that the proposed algorithm can effectively maximize the sum rate of UEs in the UAV assisted C-RAN system.

Original language	English
Article number	9165882
Pages (from-to)	2163-2167
Number of pages	5
Journal	IEEE Wireless Communications Letters
Volume	9
Issue number	12
Early online date	12 Aug 2020
DOIs	https://doi.org/10.1109/LWC.2020.3015991
Publication status	Published - Dec 2020

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https://ieeexplore.ieee.org/document/9165882/

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title = "Data Rate Maximization in UAV-Assisted C-RAN",

abstract = "This letter considers the transmission design in unmanned aerial vehicle (UAV) assisted cloud radio access network (C-RAN). We aim to maximize data rate of the system by optimizing user equipment (UE) association, UAV placement, UEs' and UAVs' transmit power. We take UAVs as flying radio remote heads (RRHs) to serve UEs on the ground and maximize the sum rate of all the UEs. In order to solve this non-convex problem, we propose an iterative algorithm based on the successive convex approximation (SCA) and alternating iterative methods. The numerical results show that the proposed algorithm can effectively maximize the sum rate of UEs in the UAV assisted C-RAN system.",

keywords = "C-RAN, UAV, joint optimization, rate maximization",

author = "Xingquan Li and Cunhua Pan and Chiya Zhang and Chunlong He and Kezhi Wang",

note = "Funding Information: This work was supported in part by the Shenzhen Overseas High-Level Talents Innovation and Entrepreneurship under Grant KQJSCX20180328093835762, and in part by the Shenzhen Basic Research Program under Grant JCYJ20190808122409660. The associate editor coordinating the review of this article and approving it for publication was M. Sheng. (Corresponding author: Chiya Zhang.) Xingquan Li and Chunlong He are with the Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen 518060, China. Publisher Copyright: {\textcopyright} 2012 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",

year = "2020",

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doi = "10.1109/LWC.2020.3015991",

language = "English",

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T1 - Data Rate Maximization in UAV-Assisted C-RAN

AU - Li, Xingquan

AU - Pan, Cunhua

AU - Zhang, Chiya

AU - He, Chunlong

AU - Wang, Kezhi

N1 - Funding Information: This work was supported in part by the Shenzhen Overseas High-Level Talents Innovation and Entrepreneurship under Grant KQJSCX20180328093835762, and in part by the Shenzhen Basic Research Program under Grant JCYJ20190808122409660. The associate editor coordinating the review of this article and approving it for publication was M. Sheng. (Corresponding author: Chiya Zhang.) Xingquan Li and Chunlong He are with the Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen 518060, China. Publisher Copyright: © 2012 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020/12

Y1 - 2020/12

N2 - This letter considers the transmission design in unmanned aerial vehicle (UAV) assisted cloud radio access network (C-RAN). We aim to maximize data rate of the system by optimizing user equipment (UE) association, UAV placement, UEs' and UAVs' transmit power. We take UAVs as flying radio remote heads (RRHs) to serve UEs on the ground and maximize the sum rate of all the UEs. In order to solve this non-convex problem, we propose an iterative algorithm based on the successive convex approximation (SCA) and alternating iterative methods. The numerical results show that the proposed algorithm can effectively maximize the sum rate of UEs in the UAV assisted C-RAN system.

AB - This letter considers the transmission design in unmanned aerial vehicle (UAV) assisted cloud radio access network (C-RAN). We aim to maximize data rate of the system by optimizing user equipment (UE) association, UAV placement, UEs' and UAVs' transmit power. We take UAVs as flying radio remote heads (RRHs) to serve UEs on the ground and maximize the sum rate of all the UEs. In order to solve this non-convex problem, we propose an iterative algorithm based on the successive convex approximation (SCA) and alternating iterative methods. The numerical results show that the proposed algorithm can effectively maximize the sum rate of UEs in the UAV assisted C-RAN system.

KW - C-RAN

KW - UAV

KW - joint optimization

KW - rate maximization

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DO - 10.1109/LWC.2020.3015991

M3 - Article

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EP - 2167

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

SN - 2162-2337

IS - 12

M1 - 9165882

ER -

Data Rate Maximization in UAV-Assisted C-RAN

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