Joint Fronthaul and Multicast Beamforming for Ultra-Dense C-RANs

This work investigates multicast transmission in ultra-dense cloud radio access networks (C-RANs) with wireless fronthaul. To maximize the weighted sum rate (WSR) of multicast services, joint beamforming for fronthaul and access links are designed, subject to the constraints of fronthaul capacity an...

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Published in:2021 IEEE/CIC International Conference on Communications in China (ICCC) pp. 670 - 675
Main Authors: Tan, Fangqing, Wu, Peiran, Jiang, Ming, Xia, Minghua
Format: Conference Proceeding
Language:English
Published: IEEE 28.07.2021
Subjects:
Approximation algorithms
Array signal processing
Base stations
Beamforming
Cloud radio access networks
first-order algorithm
Multicast algorithms
Transforms
weighted sum rate
Wireless communication
wireless fronthaul
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Abstract This work investigates multicast transmission in ultra-dense cloud radio access networks (C-RANs) with wireless fronthaul. To maximize the weighted sum rate (WSR) of multicast services, joint beamforming for fronthaul and access links are designed, subject to the constraints of fronthaul capacity and transmit powers of small base stations and central processor. The formulated optimization problem is however neither smooth nor convex. For ease of mathematical tractability, the smooth and successive convex approximations are exploited to transform the original problem into a sequence of convex problems, and then a first-order algorithm with low computational complexity is developed to find the optimal solution. Numerical results demonstrate that the proposed first-order algorithm can achieve almost the same WSR as that of traditional second-order approaches yet with much lower computational complexity.
AbstractList This work investigates multicast transmission in ultra-dense cloud radio access networks (C-RANs) with wireless fronthaul. To maximize the weighted sum rate (WSR) of multicast services, joint beamforming for fronthaul and access links are designed, subject to the constraints of fronthaul capacity and transmit powers of small base stations and central processor. The formulated optimization problem is however neither smooth nor convex. For ease of mathematical tractability, the smooth and successive convex approximations are exploited to transform the original problem into a sequence of convex problems, and then a first-order algorithm with low computational complexity is developed to find the optimal solution. Numerical results demonstrate that the proposed first-order algorithm can achieve almost the same WSR as that of traditional second-order approaches yet with much lower computational complexity.
Author Jiang, Ming
Wu, Peiran
Tan, Fangqing
Xia, Minghua
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  organization: School of Electronics and Information Technology, Sun Yat-sen University,Guangzhou,China,510006
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  givenname: Minghua
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  fullname: Xia, Minghua
  email: xiamingh@mail.sysu.edu.cn
  organization: School of Electronics and Information Technology, Sun Yat-sen University,Guangzhou,China,510006
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Snippet This work investigates multicast transmission in ultra-dense cloud radio access networks (C-RANs) with wireless fronthaul. To maximize the weighted sum rate...
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SubjectTerms Approximation algorithms
Array signal processing
Base stations
Beamforming
Cloud radio access networks
first-order algorithm
Multicast algorithms
Transforms
weighted sum rate
Wireless communication
wireless fronthaul
Title Joint Fronthaul and Multicast Beamforming for Ultra-Dense C-RANs
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