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This work studies the joint design of precoding and backhaul compression strategies for the downlink of cloud radio access networks. In these systems, a central encoder is connected to multiple multi-antenna base stations (BSs) via…

Information Theory · Computer Science 2015-06-15 Seok-Hwan Park , Osvaldo Simeone , Onur Sahin , Shlomo Shamai

We consider a backhaul-constrained coordinated cellular network. That is, a single-frequency network with $N+1$ multi-antenna base stations (BSs) that cooperate in order to decode the users' data, and that are linked by means of a common…

Information Theory · Computer Science 2008-02-07 Aitor del Coso , Sebastien Simoens

This paper considers the joint transceiver design for downlink multiuser multiple-input single-output (MISO) systems with coordinated base stations (BSs) where imperfect channel state information (CSI) is available at the BSs and mobile…

Optimization and Control · Mathematics 2013-11-26 Tadilo Endeshaw , Luc Vandendorpe , Batu Krishna Chalise

This paper investigates the compress-and-forward scheme for an uplink cloud radio access network (C-RAN) model, where multi-antenna base-stations (BSs) are connected to a cloud-computing based central processor (CP) via capacity-limited…

Information Theory · Computer Science 2016-11-18 Yuhan Zhou , Yinfei Xu , Wei Yu , Jun Chen

This paper considers networked sensing in cellular network, where multiple base stations (BSs) first compress their received echo signals from multiple targets and then forward the quantized signals to the central unit (CU) via…

Signal Processing · Electrical Eng. & Systems 2024-09-09 Weifeng Zhu , Shuowen Zhang , Liang Liu

This paper considers the problem of distributed source coding for a large network. A major obstacle that poses an existential threat to practical deployment of conventional approaches to distributed coding is the exponential growth of the…

Information Theory · Computer Science 2013-01-08 Kumar Viswanatha , Sharadh Ramaswamy , Ankur Saxena , Emrah Akyol , Kenneth Rose

Benefited from the advances of deep learning (DL) techniques, deep joint source-channel coding (JSCC) has shown its great potential to improve the performance of wireless transmission. However, most of the existing works focus on the…

Information Theory · Computer Science 2022-11-22 Kaiyi Chi , Qianqian Yang , Zhaohui Yang , Yiping Duan , Zhaoyang Zhang

In this paper, we consider an uplink heterogeneous cloud radio access network (H-CRAN), where a macro base station (BS) coexists with many remote radio heads (RRHs). For cost-savings, only the BS is connected to the baseband unit (BBU) pool…

Information Theory · Computer Science 2019-01-08 Wenchao Xia , Jun Zhang , Tony Q. S. Quek , Shi Jin , Hongbo Zhu

In light of the premises of beyond fifth generation (B5G) networks, the need for better exploiting the capabilities of cloud-enabled networks arises, so as to cope with the large-scale interference resulting from the massive increase of…

This paper studies transmission strategies for the downlink of a cloud radio access network, in which the base stations are connected to a centralized cloud-computing based processor with digital fronthaul or backhaul links. We provide a…

Information Theory · Computer Science 2018-06-05 Pratik Patil , Binbin Dai , Wei Yu

The cloud radio access network (C-RAN) is a promising network architecture for future mobile communications, and one practical hurdle for its large scale implementation is the stringent requirement of high capacity and low latency fronthaul…

Information Theory · Computer Science 2015-06-23 Xiongbin Rao , Vincent K. N. Lau

The performance of cloud radio access network (C-RAN) is limited by the finite capacities of the backhaul links connecting the centralized processor (CP) with the base-stations (BSs), especially when the backhaul is implemented in a…

Information Theory · Computer Science 2018-05-01 Binbin Dai , Ya-Feng Liu , Wei Yu

This paper studies the energy efficiency of the cloud radio access network (C-RAN), specifically focusing on two fundamental and different downlink transmission strategies, namely the data-sharing strategy and the compression strategy. In…

Information Theory · Computer Science 2016-01-08 Binbin Dai , Wei Yu

We consider a distributed source coding system in which several observations are communicated to the decoder using limited transmission rate. The observations must be separately coded. We introduce a robust distributed coding scheme which…

Information Theory · Computer Science 2007-07-13 Jun Chen , Toby Berger

In cloud radio access networks (C-RANs), the baseband processing of the radio units (RUs) is migrated to remote control units (CUs). This is made possible by a network of backhaul links that connects RUs and CUs and that carries compressed…

Information Theory · Computer Science 2013-12-30 Seok-Hwan Park , Osvaldo Simeone , Onur Sahin , 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 studies the downlink of a cloud radio access network (C-RAN) in which a centralized processor (CP) communicates with mobile users through base stations (BSs) that are connected to the CP via finite-capacity fronthaul links.…

Information Theory · Computer Science 2019-07-23 Pratik Patil , Wei Yu

A cloud radio access network (C-RAN) is considered as a candidate to meet the expectations of higher data rate de- mands in wireless networks. In C-RAN, low energy base stations (BSs) are deployed over a small geography and are allowed to…

Information Theory · Computer Science 2016-02-11 Yigit Ugur , Zohaib Hassan Awan , Aydin Sezgin

The plethora of wirelessly connected devices, whose deployment density is expected to largely increase in the upcoming sixth Generation (6G) of wireless networks, will naturally necessitate substantial advances in multiple access schemes.…

Information Theory · Computer Science 2024-10-29 Konstantinos D. Katsanos , Paolo Di Lorenzo , George C. Alexandropoulos

Consider a lossy compression system with $\ell$ distributed encoders and a centralized decoder. Each encoder compresses its observed source and forwards the compressed data to the decoder for joint reconstruction of the target signals under…

Information Theory · Computer Science 2018-07-19 Yizhong Wang , Li Xie , Xuan Zhang , Jun Chen
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