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A wireless massive MIMO system entails a large number (tens or hundreds) of base station antennas serving a much smaller number of users, with large gains in spectral-efficiency and energy-efficiency compared with conventional MIMO…

信息论 · 计算机科学 2014-11-18 Alexei Ashikhmin , Thomas L. Marzetta , Liangbin Li

We consider the uplink of a Massive MIMO network with $L$ cells, each comprising a BS with $M$ antennas and $K$ single-antenna user equipments. Recently, [1] studied the asymptotic spectral efficiency of such networks with optimal multicell…

信息论 · 计算机科学 2019-06-26 Luca Sanguinetti , Emil Björnson , Abla Kammoun

Integrated sensing and communication (ISAC) is a promising technique to provide sensing services in future wireless networks. Numerous existing works have adopted a monostatic radar architecture to realize ISAC, i.e., employing the same…

信息论 · 计算机科学 2023-05-17 Dongfang Xu , Chang Liu , Shenghui Song , Derrick Wing Kwan Ng

This work analyzes the performance of an underlay cognitive radio based decode-and-forward mixed multiple-input multiple-output (MIMO) radio frequency/free space optical (RF/FSO) cooperative relay system with multiple mobile secondary and…

信息论 · 计算机科学 2018-05-16 Neeraj Varshney , Aditya K. Jagannatham , Pramod K. Varshney

Cell-free massive multi-input multi-output (MIMO) has recently gained a lot of attention due to its high potential in sixth-generation (6G) wireless systems. The goal of this paper is to first present a unified modeling for massive MIMO,…

信息论 · 计算机科学 2024-05-17 Wei Jiang , Hans D. Schotten

This paper considers a MIMO Integrated Sensing and Communication (ISAC) system, where a base station simultaneously serves a MIMO communication user and a remote MIMO sensing receiver, without channel state information (CSI) at the…

信号处理 · 电气工程与系统科学 2025-06-12 Alex Obando , Saman Atapattu , Prathapasinghe Dharmawansa , Akram Hourani , Kandeepan Sithamparanathan

Massive multiple-input multiple-output (MIMO) promises significantly higher performance relative to conventional multiuser systems. However, the promised gains of massive MIMO systems rely heavily on the accuracy of the absolute front-end…

信息论 · 计算机科学 2020-02-26 Guoda Tian , Harsh Tataria , Fredrik Tufvesson

This paper study the effect of interference management arising due to millimeter wave (mmWave) communication on the performance of multiple input multiple output (MIMO) based spectrum sharing cognitive systems. The highly directed mmWave…

信息论 · 计算机科学 2018-06-26 Abhishek Agrahari , Aditya K. Jagannatham

Although routinely utilized in literature, orthogonal waveforms may lose orthogonality in distributed multi-input multi-output (MIMO) radar with spatially separated transmit (TX) and receive (RX) antennas, as the waveforms may experience…

信号处理 · 电气工程与系统科学 2021-08-04 Hongbin Li , Fangzhou Wang , Cengcang Zeng , Mark A. Govoni

Massive multiple-input multiple-output (MIMO) is a transmission technique for cellular systems that uses many antennas to support not-as-many users. Thus far, the performance of massive MIMO has only been examined in finite cellular…

信息论 · 计算机科学 2013-05-13 Tianyang Bai , Robert W. Heath,

Integrated Sensing and Communications (ISAC) will become a service in future mobile communication networks. It enables the detection and recognition of passive objects and environments using radar-like sensing. The ultimate advantage is the…

It is widely believed that range resolution, the ability to distinguish between two closely situated targets, depends inversely on the bandwidth of the transmitted radar signal. Here we demonstrate a different type of ranging system, which…

信号处理 · 电气工程与系统科学 2021-06-30 Rony Komissarov , Vitali Kozlov , Dmitry Filonov , Pavel Ginzburg

As a next-generation wireless technology, the in-band full-duplex (IBFD) transmission enables simultaneous transmission and reception of signals over the same frequency, thereby doubling spectral efficiency. Further, a continuous up-scaling…

信息论 · 计算机科学 2024-03-29 Sk Nayemuzzaman , Kumar Vijay Mishra , Jiawei Liu , Mohammad Saquib

Multiple input multiple output (MIMO) radar exhibits several advantages with respect to traditional radar array systems in terms of flexibility and performance. However, MIMO radar poses new challenges for both hardware design and digital…

信息论 · 计算机科学 2016-08-30 David Cohen , Deborah Cohen , Yonina C. Eldar , Alexander M. Haimovich

This paper investigates the problem of joint subcarrier and power allocation in the coexistence of radar and multi-user communication systems. Specifically, in our research scenario, the base station (BS) provides information transmission…

信息论 · 计算机科学 2023-08-23 Jia Zhu , Yifeng Xiong , Junsheng Mu , Ronghui Zhang , Xiaojun Jing

We consider a hybrid active-passive radar system that employs a wireless source as a passive illuminator of opportunity (IO) and a co-channel active radar transmitter operating in the same frequency band to seek spectral efficiency. The…

信号处理 · 电气工程与系统科学 2020-02-19 Fangzhou Wang , Hongbin Li

A massive MIMO system, represented by a base station with hundreds of antennas, is capable of spatially multiplexing many devices and thus naturally suited to serve dense crowds of wireless devices in emerging applications, such as…

In the envisioned beyond-fifth-generation (B5G) and sixth-generation (6G) scenarios which expect massive multiple-input multiple-output (mMIMO) and high frequency communications in the millimeter-wave (mmWave) and Terahertz (THz) bands,…

We study the Gaussian MIMO wiretap channel with a transmitter, a legitimate receiver, an eavesdropper and an external helper, each equipped with multiple antennas. The transmitter sends confidential messages to its intended receiver, while…

信息论 · 计算机科学 2015-05-27 S. Ali. A. Fakoorian , A. Lee Swindlehurst

Integrated sensing and communication (ISAC) technology has been considered as one of the key candidate technologies in the next-generation wireless communication systems. However, when radar and communication equipment coexist in the same…

信号处理 · 电气工程与系统科学 2024-02-08 Mengyu Liu , Hong Ren , Cunhua Pan , Boshi Wang , Zhiyuan Yu , Ruisong Weng , Kangda Zhi , Yongchao He
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