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We propose a deep learning-based method that uses spatial and temporal information extracted from the sub-6GHz band to predict/track beams in the millimeter-wave (mmWave) band. In more detail, we consider a dual-band communication system…

Signal Processing · Electrical Eng. & Systems 2021-07-19 Rafail Ismayilov , Renato L. G. Cavalcante , Sławomir Stańczak

Hybrid precoding is a promising technique for mmWave massive MIMO systems, as it can considerably reduce the number of required radio-frequency (RF) chains without obvious performance loss. However, most of the existing hybrid precoding…

Information Theory · Computer Science 2017-08-25 Xinyu Gao , Linglong Dai , Ying Sun , Shuangfeng Han , I Chih-Lin

This paper investigates the fronthaul compression problem in a user-centric cloud radio access network, in which single-antenna users are served by a central processor (CP) cooperatively via a cluster of remote radio heads (RRHs). To…

Information Theory · Computer Science 2024-03-15 Ruihua Qiao , Tao Jiang , Wei Yu

Hybrid precoding design can be challenging for broadband millimeter-wave (mmWave) massive MIMO due to the frequency-flat analog precoder in radio frequency (RF). Prior broadband hybrid precoding work usually focuses on fully-connected array…

Information Theory · Computer Science 2018-09-24 Yiwei Sun , Zhen Gao , Hua Wang , Di Wu

In modern implementations of Cloud Radio Access Network (C-RAN), the fronthaul transport network will often be packet-based and it will have a multi-hop architecture built with general-purpose switches using network function virtualization…

Information Theory · Computer Science 2019-12-19 Seok-Hwan Park , Osvaldo Simeone , Shlomo Shamai

This paper considers the downlink of a cache-enabled fog radio access network (F-RAN) with limited fronthaul capacity, where user association (UA), data delivery rate (DDR) and signal precoding are jointly optimized. We formulate a…

Information Theory · Computer Science 2017-07-03 Tung T. Vu , Duy T. Ngo , Lawrence Ong , Salman Durrani , Richard H. Middleton

This paper considers a downlink transmission of cloud radio access network (C-RAN) in which precoded baseband signals at a common baseband unit are compressed before being forwarded to radio units (RUs) through limited fronthaul capacity…

Information Theory · Computer Science 2017-03-20 Kien-Giang Nguyen , Quang-Doanh Vu , Markku Juntti , Le-Nam Tran

The gains afforded by cloud radio access network (C-RAN) in terms of savings in capital and operating expenses, flexibility, interference management and network densification rely on the presence of high-capacity low-latency fronthaul…

Information Theory · Computer Science 2016-08-29 Osvaldo Simeone , Jinkyu Kang , Joonhyuk Kang , Shlomo Shamai

There are two fundamentally different fronthaul techniques in the downlink communication of cloud radio access network (C-RAN): the data-sharing strategy and the compression-based strategy. Under the former strategy, each user's message is…

Information Theory · Computer Science 2017-04-05 Liang Liu , Wei Yu

This paper investigates the hybrid precoding design in millimeter-wave (mmWave) systems with a fully-adaptive-connected precoding structure, where a switch-controlled connection is deployed between every antenna and every radio frequency…

Signal Processing · Electrical Eng. & Systems 2019-07-24 Xuan Xue , Yongchao Wang , Long Yang , Jia Shi , Zan Li

In traditional Fog-Radio Access Networks (F-RANs), enhanced remote radio heads (eRRHs) are connected to a macro base station (MBS) through fronthaul links. Deploying a massive number of eRRHs is not always feasible due to site constraints…

Information Theory · Computer Science 2024-08-30 Hesameddin Mokhtarzadeh , Mohammed S. Al-Abiad , Md Jahangir Hossain , Julian Cheng

This paper proposes a novel neural network architecture, that we call an auto-precoder, and a deep-learning based approach that jointly senses the millimeter wave (mmWave) channel and designs the hybrid precoding matrices with only a few…

Information Theory · Computer Science 2019-05-31 Xiaofeng Li , Ahmed Alkhateeb

Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) has been regarded to be an emerging solution for the next generation of communications, in which hybrid analog and digital precoding is an important method for reducing…

Signal Processing · Electrical Eng. & Systems 2019-01-23 Hongji Huang , Yiwei Song , Jie Yang , Guan Gui , Fumiyuki Adachi

Millimeter wave (mmWave) is a practical solution to provide high data rate for the vehicle-to-everything (V2X) communications. This enables the future autonomous vehicles to exchange big data with the base stations (BSs) such as the…

Information Theory · Computer Science 2021-03-24 Elyes Balti

Millimeter-wave (mmWave) technology is one of the most promising candidates for future wireless communication systems as it can offer large underutilized bandwidths and eases the implementation of large antenna arrays which are required to…

Signal Processing · Electrical Eng. & Systems 2019-04-01 Nuno Souto , João Silva , João Pavia , Marco Ribeiro

Millimeter-wave (mmWave) communications have been considered as a key technology for future 5G wireless networks because of the orders-of-magnitude wider bandwidth than current cellular bands. In this paper, we consider the problem of…

Information Theory · Computer Science 2017-04-27 Zihuan Wang , Ming Li , Xiaowen Tian , Qian Liu

This work investigates the joint design of fronthaul compression and precoding for the downlink of Cloud Radio Access Networks (C-RANs). In a C-RAN, a central unit (CU) performs the baseband processing for a cluster of radio units (RUs)…

Information Theory · Computer Science 2016-11-17 Jinkyu Kang , Osvaldo Simeone , Joonhyuk Kang , Shlomo Shamai

Millimeter wave (mmWave) communications have been considered as a key technology for next generation cellular systems and Wi-Fi networks because of its advances in providing orders-of-magnitude wider bandwidth than current wireless…

Information Theory · Computer Science 2018-07-04 Zihuan Wang , Ming Li , Qian Liu , A. Lee Swindlehurst

In this paper, we develop a low-complexity channel estimation for hybrid millimeter wave (mmWave) systems, where the number of radio frequency (RF) chains is much less than the number of antennas equipped at each transceiver. The proposed…

Information Theory · Computer Science 2017-03-14 Lou Zhao , Derrick Wing Kwan Ng , Jinhong Yuan

To enable user diversity and multiplexing gains, a fully digital precoding multiple input multiple output (MIMO) architecture is typically applied. However, a large number of radio frequency (RF) chains make the system unrealistic to…

Signal Processing · Electrical Eng. & Systems 2019-12-02 Tongyang Xu , Christos Masouros , Izzat Darwazeh