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Large in the number of transmit elements, multi-antenna arrays with per-element limitations are in the focus of the present work. In this context, physical layer multigroup multicasting under per-antenna power constrains, is investigated…

Information Theory · Computer Science 2016-11-18 Dimitrios Christopoulos , Symeon Chatzinotas , Bjorn Ottersten

Existing methods for robust multigroup multicast beamforming obtain feasible points using semidefinite relaxation (SDR) and Gaussian randomization, and have high computational complexity. In this letter, we consider the robust multigroup…

Information Theory · Computer Science 2019-05-15 Guangda Zang , Hei Victor Cheng , Ying Cui , Wei Liu , Feng Yang , Lianghui Ding , Hui Liu

This paper studies the joint multicast beamforming and user scheduling problem, with the objective of minimizing total transmitting power across multiple channels by jointly assigning each user to appropriate channel and designing multicast…

Information Theory · Computer Science 2018-09-05 L. Zhou , Z. Xu , W. Jiang , W. Luo

This paper considers coordinated multicast beamforming in a multi-cell wireless network. Each multiantenna base station (BS) serves multiple groups of single antenna users by generating a single beam with common data per group. The aim is…

Information Theory · Computer Science 2016-11-17 Harri Pennanen , Dimitrios Christopoulos , Symeon Chatzinotas , Björn Ottersten

Multi-group multicast beamforming in wireless systems with large antenna arrays and massive audience is investigated in this paper. Multicast beamforming design is a well-known non-convex quadratically constrained quadratic programming…

Information Theory · Computer Science 2017-03-07 Erkai Chen , Meixia Tao

This paper considers coordinated multicast beamforming in a multi-cell multigroup multiple-input single-output system. Each base station (BS) serves multiple groups of users by forming a single beam with common information per group. We…

Information Theory · Computer Science 2018-02-14 Oskari Tervo , Harri Pennanen , Dimitrios Christopoulos , Symeon Chatzinotas , Björn Ottersten

This paper considers the multi-group multicast beamforming optimization problem, for which the optimal solution has been unknown due to the non-convex and NP-hard nature of the problem. By utilizing the successive convex approximation…

Signal Processing · Electrical Eng. & Systems 2021-04-13 Min Dong , Qiqi Wang

This paper studies the quality-of-service (QoS) constrained multi-group multicast beamforming design problem, where each multicast group is composed of a number of users requiring the same content. Due to the nonconvex QoS constraints, this…

Information Theory · Computer Science 2024-02-27 Yang Li , Ya-Feng Liu

Consider the single-group multicast beamforming problem, where multiple users receive the same data stream simultaneously from a single transmitter. The problem is NP-hard and all existing algorithms for the problem either find suboptimal…

Information Theory · Computer Science 2017-06-07 Cheng Lu , Ya-Feng Liu

This paper studies energy-efficient coordinated beamforming in multi-cell multi-user multigroup multicast multiple-input single-output systems. We aim at maximizing the network energy efficiency by taking into account the fact that some of…

Information Theory · Computer Science 2017-07-06 Oskari Tervo , Le-Nam Tran , Harri Pennanen , Symeon Chatzinotas , Markku Juntti , Björn Ottersten

In this paper, we investigate the network power minimization problem for the multicast cloud radio access network (Cloud-RAN) with imperfect channel state information (CSI). The key observation is that network power minimization can be…

Information Theory · Computer Science 2015-12-23 Yuanming Shi , Jun Zhang , Khaled B. Letaief

Massive MIMO is currently a leading physical layer technology candidate that can dramatically enhance throughput in 5G systems, for both unicast and multicast transmission modalities. As antenna elements are becoming smaller and cheaper in…

Signal Processing · Electrical Eng. & Systems 2020-03-05 Mohamed Salah Ibrahim , Aritra Konar , Nicholas D. Sidiropoulos

In Part I of this paper, we proposed and analyzed a novel algorithmic framework for the minimization of a nonconvex (smooth) objective function, subject to nonconvex constraints, based on inner convex approximations. This Part II is devoted…

Information Theory · Computer Science 2017-04-05 Gesualdo Scutari , Francisco Facchinei , Lorenzo Lampariello , Peiran Song , Stefania Sardellitti

Multicast beamforming is a promising technique for multicast communication. Providing an efficient and powerful beamforming design algorithm is a crucial issue because multicast beamforming problems such as a max-min-fair problem are…

Information Theory · Computer Science 2020-04-21 Satoshi Takabe , Tadashi Wadayama

Wideband communication receivers often deal with the problems of detecting weak signals from distant sources received together with strong nearby interferers. When the techniques of random modulation are used in communication system…

Information Theory · Computer Science 2018-11-15 Dian Mo , Marco F. Duarte

This paper considers the (NP-)hard problem of joint multicast beamforming and antenna selection. Prior work has focused on using Semi-Definite relaxation (SDR) techniques in an attempt to obtain a high quality sub-optimal solution. However,…

Information Theory · Computer Science 2018-03-05 Mohamed S. Ibrahim , Aritra Konar , Mingyi Hong , Nicholas D. Sidiropoulos

In this work, we focus on solving non-smooth non-convex maximization problems in multi-group multicast transmission. Leveraging Karush-Kuhn-Tucker (KKT) optimality conditions and successive incumbent transcending (SIT) duality, we…

Information Theory · Computer Science 2023-12-29 Tianyu Fang , Yijie Mao

In many wireless communication applications, it is desirable to transmit the same data to multiple user equipments (UEs). Physical layer multicasting presents an efficient transmission topology to exploit the beamforming capabilities at the…

Signal Processing · Electrical Eng. & Systems 2025-09-30 Mahmoud Zaher , Emil Björnson , Marina Petrova

Multicast beamforming is a key technology for next-generation wireless cellular networks to support high-rate content distribution services. In this paper, the coordinated downlink multicast beamforming design in multicell networks is…

Information Theory · Computer Science 2017-07-13 L. Zhou , L. Zheng , X. Wang , W. Jiang , W. Luo

In this paper we study energy efficient joint power allocation and beamforming for coordinated multicell multiuser downlink systems. The considered optimization problem is in a non-convex fractional form and hard to tackle. We propose to…

Information Theory · Computer Science 2013-10-09 He Shiwen , Huang Yongming , Jin Shi , Yang Luxi
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