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We investigate the maximum coding rate achievable on a two-user broadcast channel for the case where a common message is transmitted with feedback using either fixed-blocklength codes or variable-length codes. For the fixed-blocklength-code…

Information Theory · Computer Science 2018-09-03 Kasper Fløe Trillingsgaard , Wei Yang , Giuseppe Durisi , Petar Popovski

Beam codebooks are integral components of the future millimeter wave (mmWave) multiple input multiple output (MIMO) system to relax the reliance on the instantaneous channel state information (CSI). The design of these codebooks, therefore,…

Information Theory · Computer Science 2024-01-17 Yu Zhang , Ahmed Alkhateeb

This paper considers the forward error correction (FEC) code design for approaching the capacity of a dynamic multiple access channel (MAC) where both the number of users and their respective signal powers keep constantly changing,…

Information Theory · Computer Science 2019-07-22 Xiaojie Wang , Sebastian Cammerer , Stephan ten Brink

To fully unlock the benefits of multiple-input multiple-output (MIMO) networks, downlink channel state information (CSI) is required at the base station (BS). In frequency division duplex (FDD) systems, the CSI is acquired through a…

Information Theory · Computer Science 2023-05-23 Matteo Nerini , Valentina Rizzello , Michael Joham , Wolfgang Utschick , Bruno Clerckx

In recent years, continuous-aperture multiple-input multiple-output (CAP-MIMO) is reinvestigated to achieve improved communication performance with limited antenna apertures. Unlike the classical MIMO composed of discrete antennas, CAP-MIMO…

Information Theory · Computer Science 2023-01-03 Zijian Zhang , Linglong Dai

Massive MIMO is widely considered as a key enabler of the next generation 5G networks. With a large number of antennas at the Base Station, both spectral and energy efficiencies can be enhanced. Unfortunately, the downlink channel…

Information Theory · Computer Science 2019-08-14 Ali Maatouk , Salah Eddine Hajri , Mohamad Assaad , Hikmet Sari

In this paper, we develop a gradient-free optimization methodology for efficient resource allocation in Gaussian MIMO multiple access channels. Our approach combines two main ingredients: (i) an entropic semidefinite optimization based on…

Information Theory · Computer Science 2020-12-10 Olivier Bilenne , Panayotis Mertikopoulos , E. Veronica Belmega

This letter develops an optimum beamforming method for downlink transmissions in cell-free massive multiple-input multiple-output (MIMO) systems, which employ a massive number of distributed access points to provide concurrent services to…

Signal Processing · Electrical Eng. & Systems 2020-06-11 Andong Zhou , Jingxian Wu , Erik G. Larsson , Pingzhi Fan

Full-duplex (FD) systems have emerged as an es- sential enabling technology to further increase the data rate of wireless communication systems. The key idea of FD is to serve multiple users over the same bandwidth with a base station (BS)…

Information Theory · Computer Science 2017-02-07 Van-Dinh Nguyen , Hieu V. Nguyen , Chuyen T. Nguyen , Oh-Soon Shin

Cellular networks of massive MIMO base-stations employing TDD/OFDM and relying on uplink training for both downlink and uplink transmission are viewed as an attractive candidate for 5G deployments, as they promise high area spectral and…

Information Theory · Computer Science 2018-11-07 Zekun Zhang , Chenwei Wang , Haralabos Papadopoulos

We propose a precoder codebook construction and feedback encoding scheme which is based on Gaussian mixture models (GMMs). In an offline phase, the base station (BS) first fits a GMM to uplink (UL) training samples. Thereafter, it designs a…

Information Theory · Computer Science 2022-05-25 Nurettin Turan , Michael Koller , Benedikt Fesl , Samer Bazzi , Wen Xu , Wolfgang Utschick

In the fifth-generation new radio (5G NR) frequency division duplex (FDD) massive multiple-input and multiple-output (MIMO) systems, downlink beamforming relies on the acquisition of downlink channel state information (CSI). Codebook based…

Signal Processing · Electrical Eng. & Systems 2024-09-04 Kai Li , Ying Li , Lei Cheng , Zhi-Quan Luo

Extremely large-scale multiple-input-multiple-output (XL-MIMO) with hybrid precoding is a promising technique to meet the high data rate requirements for future 6G communications. To realize efficient hybrid precoding, it is essential to…

Information Theory · Computer Science 2022-01-20 Mingyao Cui , Linglong Dai

Variable-length feedback coding has the potential to significantly enhance communication reliability in finite block length scenarios by adapting coding strategies based on real-time receiver feedback. Designing such codes, however, is…

Information Theory · Computer Science 2024-11-14 Wenwei Lai , Yulin Shao , Yu Ding , Deniz Gunduz

Constellation shaping is a practical and effective technique to improve the performance and the rate adaptivity of optical communication systems. In principle, it could also be used to mitigate the impact of nonlinear effects, possibly…

Information Theory · Computer Science 2022-06-08 Marco Secondini , Stella Civelli , Enrico Forestieri , Lareb Zar Khan

Massive multiple-input multiple-output (MIMO) with frequency division duplex (FDD) mode is a promising approach to increasing system capacity and link robustness for the fifth generation (5G) wireless cellular systems. The premise of these…

Networking and Internet Architecture · Computer Science 2019-07-30 Chaojin Qing , Bin Cai , Qingyao Yang , Jiafan Wang , Chuan Huang

Multimode precoding, where the number of independent data-streams is adapted optimally, can be used to maximize the achievable throughput in multi-antenna communication systems. Motivated by standardization efforts embraced by the industry,…

Information Theory · Computer Science 2015-10-28 Vasanthan Raghavan , Venu Veeravalli , Akbar Sayeed

Extremely large-scale MIMO (XL-MIMO) is a promising technique for future 6G communications. The sharp increase in the number of antennas causes electromagnetic propagation to change from far-field to near-field. Due to the near-field…

Information Theory · Computer Science 2023-05-25 Yu Lu , Zijian Zhang , Linglong Dai

We study the mean estimation problem under communication and local differential privacy constraints. While previous work has proposed \emph{order}-optimal algorithms for the same problem (i.e., asymptotically optimal as we spend more bits),…

Machine Learning · Computer Science 2023-10-31 Berivan Isik , Wei-Ning Chen , Ayfer Ozgur , Tsachy Weissman , Albert No

Existing fixed-length feedback communication schemes are either specialized to particular channels (Schalkwijk--Kailath, Horstein), or apply to general channels but either have high coding complexity (block feedback schemes) or are…

Information Theory · Computer Science 2016-09-08 Cheuk Ting Li , Abbas El Gamal