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Massive multiple-input multiple-output (massive MIMO) can provide large spectral and energy efficiency gains. Nevertheless, its potential is conditioned on acquiring accurate channel state information (CSI). In time division duplexing (TDD)…

信息论 · 计算机科学 2018-05-01 Salah Eddine Hajri , Mohamad Assaad

In intelligent reflecting surface (IRS) assisted communication systems, the acquisition of channel state information (CSI) is a crucial impediment for achieving the beamforming gain of IRS because of the considerable overhead required for…

信息论 · 计算机科学 2020-06-25 Zhaorui Wang , Liang Liu , Shuguang Cui

Massive MIMO (multiple-input multiple-output) provides great improvements in spectral efficiency over legacy cellular networks, by coherent combining of the signals over a large antenna array and by spatial multiplexing of many users. Since…

信息论 · 计算机科学 2017-03-07 Emil Björnson , Jakob Hoydis , Luca Sanguinetti

Time-division duplex (TDD) based massive MIMO systems rely on the reciprocity of the wireless propagation channels when calculating the downlink precoders based on uplink pilots. However, the effective uplink and downlink channels…

信息论 · 计算机科学 2018-05-09 Orod Raeesi , Ahmet Gokceoglu , Mikko Valkama

Massive multiple-input multiple-output is a very important technology for future fifth-generation systems. However, massive massive multiple input multiple output systems are still limited because of pilot contamination, impacting the data…

信息论 · 计算机科学 2021-06-28 Qazwan Abdullah , Norsaliza Abdullah , Adeb Salh , Lukman Audah , Nabil Farah , Abbas Ugurenver , Abdu Saif

Massive multiple-input multiple-output (MIMO) communication is a promising technology for increasing spectral efficiency in wireless networks. Two of the main challenges massive MIMO systems face are degraded channel estimation accuracy due…

信息论 · 计算机科学 2018-01-18 Shahar S. Ioushua , Yonina C. Eldar

Random access is necessary in crowded scenarios due to the limitation of pilot sequences and the intermittent pattern of device activity. Nowadays, most of the related works are based on independent and identically distributed (i.i.d.)…

信号处理 · 电气工程与系统科学 2019-08-19 Junyuan Gao , Yongpeng Wu , Fan Wei

The necessity of accurate channel estimation for Successive and Parallel Interference Cancellation is well known. Iterative channel estimation and channel decoding (for instance by means of the Expectation-Maximization algorithm) is…

信息论 · 计算机科学 2016-11-17 Francisco Lazaro Blasco , Francesco Rossetto

A massive MIMO system entails a large number (tens or hundreds) of base station antennas serving a much smaller number of terminals. These systems demonstrate large gains in spectral and energy efficiency compared with conventional MIMO…

信息论 · 计算机科学 2017-01-19 Ansuman Adhikary , Alexei Ashikhmin , Thomas L. Marzetta

Massive multiple input multiple output (M-MIMO) technology plays a pivotal role in fifth-generation (5G) and beyond communication systems, offering a wide range of benefits, from increased spectral efficiency (SE) to enhanced energy…

信息论 · 计算机科学 2024-09-12 Muhammad Kamran Saeed , Ashfaq Khokhar , Shakil Ahmed

Consider media streaming in MIMO interference networks whereby multiple base stations (BS) simultaneously deliver media to their associated users using fixed data rates. The performance is fundamentally limited by the cross-link…

信息论 · 计算机科学 2013-11-26 An Liu , Vincent Lau

Recent information theoretic results suggest that precoding on the multi-user downlink MIMO channel with delayed channel state information at the transmitter (CSIT) could lead to data rates much beyond the ones obtained without any CSIT,…

信息论 · 计算机科学 2012-07-10 Xinping Yi , David Gesbert

In simultaneous transmit and receive (STAR) wireless communications, digital self-interference (SI) cancellation is required before estimating the remote transmission (RT) channel. Considering the inherent connection between SI channel…

信号处理 · 电气工程与系统科学 2023-08-08 Shiyu Song , Yanqun Tang , Xizhang Wei , Yu Zhou , Xianjie Lu , Zhengpeng Wang , Songhu Ge

Massive multiple-input multiple-output (MIMO) is a critical technology for future fifth-generation (5G) systems. Reduced pilot contamination (PC) enhanced system performance, and reduced inter-cell interference and improved channel…

In this paper, the interference cancellation information geometry approaches (IC-IGAs) for massive MIMO channel estimation are proposed. The proposed algorithms are low-complexity approximations of the minimum mean square error (MMSE)…

信息论 · 计算机科学 2024-07-02 An-An Lu , Bingyan Liu , Xiqi Gao

Cell-free (CF) massive multiple-input multiple-output (MIMO) systems are expected to implement advanced cooperative communication techniques to let geographically distributed access points jointly serve user equipments. Building on the…

信息论 · 计算机科学 2022-01-25 Jiakang Zheng , Jiayi Zhang , Bo Ai

Massive MIMO communication systems have been identified as one of the most prominent technologies of the next generation wireless standards, such as 5G, due to the large gains in energy and spectral efficiency that can be achieved. In the…

信息论 · 计算机科学 2016-11-04 Jose Carlos Marinello , Taufik Abrao

This paper presents the performance analysis of the self-interference cancellation (SIC) methods in full-duplex largescale multiple-input multiple-output systems. To mitigate selfinterference (SI), we assume that the full duplex-base…

信息论 · 计算机科学 2016-04-19 Yeon-Geun Lim , Daesik Hong , Chan-Byoung Chae

Interference between nodes is a critical impairment in mobile ad hoc networks (MANETs). This paper studies the role of multiple antennas in mitigating such interference. Specifically, a network is studied in which receivers apply…

信息论 · 计算机科学 2012-08-27 Kaibin Huang , Jeffrey G. Andrews , Dongning Guo , Robert W. Heath, , Randall A. Berry

This work proposes a superimposed pilot (SP)-based channel estimation and data detection framework for orthogonal time-frequency space (OTFS) scheme, wherein low-powered pilots are superimposed on to data symbols in the delay-Doppler…

信号处理 · 电气工程与系统科学 2020-10-29 Himanshu B. Mishra , Prem Singh , Abhishek K. Prasad , Rohit Budhiraja