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We study channel capacity when a one-bit quantizer is employed at the output of the discrete-time average-power-limited Rayleigh-fading channel. We focus on the low signal-to-noise ratio regime, where communication at very low spectral…

信息论 · 计算机科学 2011-12-23 Tobias Koch , Amos Lapidoth

Massive MIMO (Multiple-Input Multiple-Output) is a key enabler for 5G and future wireless systems, boosting channel capacity, energy efficiency, and spectral efficiency. However, high power consumption and hardware costs of…

最优化与控制 · 数学 2025-12-08 Jie Zhang , Huifu Xu

This paper, mostly tutorial in nature, deals with the problem of characterizing the capacity of fading channels in the high signal-to-noise ratio (SNR) regime. We focus on the practically relevant noncoherent setting, where neither…

信息论 · 计算机科学 2011-05-09 Giuseppe Durisi , Helmut Bölcskei

In this paper, we consider a multiuser massive single-input multiple-output (SIMO) enabled Industrial Internet of Things (IIoT) communication system. To reduce the latency and overhead caused by channel estimation, we assume that only the…

信息论 · 计算机科学 2019-03-06 Zheng Dong , He Chen , Jian-Kang Zhang , Branka Vucetic

Single Input-Multiple Output (SIMO) systems are key enablers of high data rates in the next generation wireless communications. However in SIMO systems, channel estimation and equalization are challenging particularly in the presence of…

信息论 · 计算机科学 2025-12-09 K Sai Praneeth , P Aswathylakshmi , Radhakrishna Ganti

In this paper, we investigate the design of multiple-input multiple-output single-user precoders for finite-alphabet signals under the premise of statistical channel-state information at the transmitter. Based on an asymptotic expression…

信息论 · 计算机科学 2016-02-12 Yongpeng Wu , Chao-Kai Wen , Derrick Wing Kwan Ng , Robert Schober , Angel Lozano

This paper studies the problem of linear precoding for multiple-input multiple-output (MIMO) communication channels employing finite-alphabet signaling. Existing solutions typically suffer from high computational complexity due to costly…

信息论 · 计算机科学 2021-11-08 Maksym A. Girnyk

Interference is emerging as a fundamental bottleneck in many important wireless communication scenarios, including dense cellular networks and cognitive networks with spectrum sharing by multiple service providers. Although multipleantenna…

信息论 · 计算机科学 2011-02-16 P. de Kerret , D. Gesbert

In this work, a new energy-efficiency performance metric is proposed for MIMO (multiple input multiple output) point-to-point systems. In contrast with related works on energy-efficiency, this metric translates the effects of using finite…

网络与互联网体系结构 · 计算机科学 2018-04-09 Vineeth S. Varma , Samson Lasaulce , Merouane Debbah , Salah Eddine Elayoubi

A discrete-time Wiener phase noise channel model is introduced in which multiple samples are available at the output for every input symbol. A lower bound on the capacity is developed. At high signal-to-noise ratio (SNR), if the number of…

信息论 · 计算机科学 2014-05-13 Hassan Ghozlan , Gerhard Kramer

In this paper we consider a channel model that is often used to describe the mobile wireless scenario: multiple-antenna additive white Gaussian noise channels subject to random (fading) gain with full channel state information at the…

信息论 · 计算机科学 2018-06-28 Austin Collins , Yury Polyanskiy

A practical and scalable multicast beamformer design in multi-input multi-output~(MIMO) coded caching~(CC) systems is introduced in this paper. The proposed approach allows multicast transmission to multiple groups with partially…

信息论 · 计算机科学 2023-12-06 Mohammad NaseriTehrani , MohammadJavad Salehi , Antti Tölli

The capacity of cellular networks can be improved by the unprecedented array gain and spatial multiplexing offered by Massive MIMO. Since its inception, the coherent interference caused by pilot contamination has been believed to create a…

信息论 · 计算机科学 2017-11-10 Emil Björnson , Jakob Hoydis , Luca Sanguinetti

The optical fiber multiple-input multiple-output (MIMO) channel with intensity modulation and direct detection (IM/DD) per spatial path is treated. The spatial dimensions represent the multiple modes employed for transmission and the…

信息论 · 计算机科学 2022-01-28 Metodi P. Yankov , Francesco Da Ros , Søren Forchhammer , Lars Gruner-Nielsen

The capacity of ideal MIMO channels has a high-SNR slope that equals the minimum of the number of transmit and receive antennas. This letter analyzes if this result holds when there are distortions from physical transceiver impairments. We…

信息论 · 计算机科学 2014-05-02 Emil Björnson , Per Zetterberg , Mats Bengtsson , Björn Ottersten

This paper analyzes the effective capacity of delay constrained machine type communication (MTC) networks operating in the finite blocklength regime. First, we derive a closed-form mathematical approximation for the effective capacity in…

信息论 · 计算机科学 2018-08-23 Mohammad Shehab , Endrit Dosti , Hirley Alves , Matti Latva-aho

In this contribution, an algorithm for evaluating the capacity-achieving input covariance matrices for frequency selective Rayleigh MIMO channels is proposed. In contrast with the flat fading Rayleigh case, no closed-form expressions for…

信息论 · 计算机科学 2011-04-13 Florian Dupuy , Philippe Loubaton

A new approach toward the noncoherent communications over the time varying fading channels is presented. In this approach, the relationship between the input signal space and the output signal space of a correlatively changing fading…

信息论 · 计算机科学 2014-01-13 Mina Karzand , Lizhong Zheng

The noncoherent capacity of stationary discrete-time fading channels is known to be very sensitive to the fine details of the channel model. More specifically, the measure of the set of harmonics where the power spectral density of the…

信息论 · 计算机科学 2016-11-15 Giuseppe Durisi , Veniamin I. Morgenshtern , Helmut Bölcskei

The nonlinear Shannon capacity limit has been identified as the fundamental barrier to the maximum rate of transmitted information in optical communications. In long-haul high-bandwidth optical networks, this limit is mainly attributed to…

信号处理 · 电气工程与系统科学 2019-04-19 Elias Giacoumidis , Jinlong Wei , Ivan Aldaya , Liam P. Barry