Paper Info
Title
Coordinated Fronthaul Data Assignment and Multicast Beamforming for Cache-enabled Wireless Networks
Abstract
Recently, edge caching and multicasting stand out as two promising technologies to support high-data-rate and low-latency wireless content delivery. In this letter, we investigate coordinated fronthaul data assignment and multicast beamforming for cache-enabled wireless networks. The design goal is to maximize the weighted sum delivery rate via properly assigning the fronthaul links to transfer the uncached requested files to the enhanced remote radio heads. The considered problem is a mixed-integer nonlinear programming problem, and thus is non-convex and challenging to solve. An effective optimization algorithm is proposed by exploiting the weighted regularization approximating <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$ {\ell _{0}}$ </tex-math></inline-formula> -norm and successive convex approximation. Numerical results show that appropriate fronthaul data assignment can significantly improve the content delivery rate.
Year
DOI
Venue
2019
10.1109/LWC.2019.2906889
IEEE Wireless Communications Letters
Keywords
Field
DocType
Array signal processing,Multicast communication,Optimization,Multicast algorithms,Wireless networks,Programming,Indexes
Beamforming,Wireless network,Wireless,Cache,Nonlinear programming,Fronthaul,Computer network,Regularization (mathematics),Multicast,Mathematics
Journal
Volume
Issue
ISSN
8
4
2162-2337
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Shiwen He140734.11
Jiaheng Wang277151.96
Jun Zhang33772190.36
Yongming Huang41472146.50
Yaoxue Zhang592397.15