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Antenna selection is capable of handling the cost and complexity issues in massive multiple-input multiple-output (MIMO) channels. The sum-rate capacity of a multiuser massive MIMO uplink channel is characterized under the Nakagami fading.…

Information Theory · Computer Science 2022-08-09 Chongjun Ouyang , Hao Xu , Xujie Zang , Hongwen Yang

Large multiple-input multiple-output (MIMO) networks promise high energy efficiency, i.e., much less power is required to achieve the same capacity compared to the conventional MIMO networks if perfect channel state information (CSI) is…

Information Theory · Computer Science 2015-06-17 An Liu , Vincent Lau

Massive MIMO, also known as very-large MIMO or large-scale antenna systems, is a new technique that potentially can offer large network capacities in multi-user scenarios. With a massive MIMO system, we consider the case where a base…

Information Theory · Computer Science 2016-11-17 Xiang Gao , Ove Edfors , Fredrik Rusek , Fredrik Tufvesson

The multiple access channel (MAC) with many-user is a general model for massive machine type communications. In this paradigm, the number of users may be comparable or even larger than the coding blocklength $n$. In contrast, classical MAC…

Information Theory · Computer Science 2019-08-12 Fan Wei , Yongpeng Wu , Wen Chen , Yanlin Geng , Giuseppe Caire

In this paper we investigate the achievable rate of a system that includes a nomadic transmitter with several antennas, which is received by multiple agents, exhibiting independent channel gains and additive circular-symmetric complex…

Information Theory · Computer Science 2007-10-02 Amichai Sanderovich , Shlomo Shamai , Yossef Steinberg

We study the performance of uplink transmission in a large-scale (massive) MIMO system, where all the transmitters have single antennas and the base station has a large number of antennas. Specifically, we first derive the rates that are…

Information Theory · Computer Science 2016-06-14 Songtao Lu , Zhengdao Wang

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…

Information Theory · Computer Science 2017-11-10 Emil Björnson , Jakob Hoydis , Luca Sanguinetti

We present a unifying framework that bridges Bayesian asymptotics and information theory to analyze the asymptotic Shannon capacity of general large-scale MIMO channels including ones with nonlinearities or imperfect hardware. We derive…

Information Theory · Computer Science 2026-02-24 Sheng Yang , Richard Combes

We consider the downlink of a cooperative cellular communications system, where several base-stations around each mobile cooperate and perform zero-forcing to reduce the received interference at the mobile. We derive closed-form expressions…

Information Theory · Computer Science 2023-09-26 Itsik Bergel , Siddhartan Govindasamy

This paper focuses on new communication paradigms arising in massive multiple-input-multiple-output systems where the antenna array at the base station is of extremely large dimension (xMaMIMO). Due to the extreme dimension of the array,…

Signal Processing · Electrical Eng. & Systems 2018-10-05 Abolfazl Amiri , Marko Angjelichinoski , Elisabeth de Carvalho , Robert W. Heath

The theoretic capacity of a communication system constituted of several transmitting/receiving elements is determined by the singular values of its transfer matrix. Results based on an independent identically distributed channel model,…

Mathematical Physics · Physics 2012-09-27 François Bentosela , Eric Soccorsi

In this paper, we derive an asymptotic closed--form expression for the error bound on extrapolation of doubly selective mobile MIMO wireless channels. The bound shows the relationship between the prediction error and system design…

Information Theory · Computer Science 2014-07-25 Ramoni Adeogun , Paul Teal , Pawel Dmochowski

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…

Information Theory · Computer Science 2011-04-13 Florian Dupuy , Philippe Loubaton

Antennas of transmitters and receivers have been manipulated to increase the capacity of transmission and reception of signals. Using many elements in antennas to shape beams and direct nulls in a particular point for optimum signal…

Networking and Internet Architecture · Computer Science 2016-10-18 Mboli Sechang Julius

The problem of maximizing the average rate in a multicast network subject to a coverage constraint (minimum quality of service) is studied. Assuming the channel state information is available only at the receiver side and single antenna…

Information Theory · Computer Science 2008-05-29 Seyed Reza Mirghaderi , Alireza Bayesteh , Amir K. Khandani

In this paper, we analyze the achievable rate of the uplink of a single-cell multi-user distributed massive multiple-input-multiple-output (MIMO) system. The multiple users are equipped with single antenna and the base station (BS) is…

Information Theory · Computer Science 2016-11-17 Ang Yang , Yindi Jing , Chengwen Xing , Zesong Fei , Jingming Kuang

In this paper, we consider the downlink of a massive multiple-input-multiple-output (MIMO) single user transmission system operating in the millimeter wave outdoor narrowband channel environment. We propose a novel receive spatial…

Information Theory · Computer Science 2018-03-23 Ahmed Raafat , Adrian Agustin , Josep Vidal

In this letter, we derive an approximate analytical expression for the uplink achievable rate of a massive multi-input multi-output (MIMO) antenna system when finite precision analog-digital converters (ADCs) and the common maximal ratio…

Information Theory · Computer Science 2015-12-03 Li Fan , Shi Jin , Chao-Kai Wen , Haixia Zhang

The capacity of a Multiple-Input Multiple-Output (MIMO) channel in which the antenna outputs are processed by an analog linear combining network and quantized by a set of threshold quantizers is studied. The linear combining weights and…

Information Theory · Computer Science 2018-06-06 Abbas Khalili , Stefano Rini , Luca Barletta , Elza Erkip , Yonina C. Eldar

Massive multiple-input multiple-output (MIMO) systems are cellular networks where the base stations (BSs) are equipped with unconventionally many antennas, deployed on co-located or distributed arrays. Huge spatial degrees-of-freedom are…

Information Theory · Computer Science 2015-04-30 Emil Björnson , Michail Matthaiou , Mérouane Debbah