H
Hao Zhou
Researcher at Shanghai Jiao Tong University
Publications - 5
Citations - 879
Hao Zhou is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Multicast & Backhaul (telecommunications). The author has an hindex of 5, co-authored 5 publications receiving 814 citations.
Papers
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Journal ArticleDOI
Content-Centric Sparse Multicast Beamforming for Cache-Enabled Cloud RAN
TL;DR: This paper presents a content-centric transmission design in a cloud radio access network by incorporating multicasting and caching, and reformulates an equivalent sparse multicast beamforming (SBF) problem, transformed into the difference of convex programs and effectively solved using the convex-concave procedure algorithms.
Journal ArticleDOI
Content-Centric Sparse Multicast Beamforming for Cache-Enabled Cloud RAN
TL;DR: In this article, a content-centric transmission design in a cloud radio access network (cloud RAN) by incorporating multicasting and caching is presented, where users requesting the same content form a multicast group and are served by a same cluster of base stations (BSs) cooperatively.
Proceedings ArticleDOI
Content-Centric Multicast Beamforming in Cache-Enabled Cloud Radio Access Networks
TL;DR: This paper investigates the joint design of multicast beamforming and content-centric BS clustering by formulating an optimization problem of minimizing the total network cost under the quality-of-service (QoS) constraints for each multicast group.
Proceedings ArticleDOI
Joint multicast beamforming and user grouping in massive MIMO systems
Hao Zhou,Meixia Tao +1 more
TL;DR: This paper considers the multicast transmission in massive MIMO systems where the base station (BS) serves multiple multicast groups simultaneously and proposes an optimal user grouping algorithm and a low-complexity suboptimal user grouping algorithms.
Posted Content
Content-Centric Multicast Beamforming in Cache-Enabled Cloud Radio Access Networks
TL;DR: This paper investigates the joint design of multicast beamforming and content-centric BS clustering by formulating an optimization problem of minimizing the total network cost under the quality-of-service (QoS) constraints for each multicast group.