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Channel state information (CSI) feedback is a challenging issue in frequency division multiplexing (FDD) massive MIMO systems. This paper studies a cooperative feedback scheme, where the users first exchange their CSI with each other by…

Information Theory · Computer Science 2016-11-23 Junting Chen , Haifan Yin , Laura Cottatellucci , David Gesbert

A broadcast strategy for multiple access communication over slowly fading channels is introduced, in which the channel state information is known to only the receiver. In this strategy, the transmitters split their information streams into…

Information Theory · Computer Science 2017-12-27 Samia Kazemi , Ali Tajer

To study the effect of lack of up-to-date channel state information at the transmitters (CSIT), we consider two-user binary fading interference channels with Delayed-CSIT. We characterize the capacity region for such channels under…

Information Theory · Computer Science 2016-11-17 Alireza Vahid , Mohammad Ali Maddah-Ali , Amir Salman Avestimehr

In this paper, we analyze the fundamental tradeoff of diversity and multiplexing in multi-input multi-output (MIMO) channels with imperfect channel state information at the transmitter (CSIT). We show that with imperfect CSIT, a higher…

Information Theory · Computer Science 2009-08-16 Xiao Juan Zhang , Yi Gong

For a multi-user interference channel with multi-antenna transmitters and single-antenna receivers, by restricting each transmitter to Gaussian input and each receiver to a single-user detector, computing the largest achievable rate region…

Information Theory · Computer Science 2009-07-06 Xiaohu Shang , Biao Chen , H. Vincent Poor

In this correspondence, we analyze the ergodic capacity of a large uplink multi-user multiple-input multiple-output (MU-MIMO) system over generalized-$K$ fading channels. In the considered scenario, multiple users transmit their information…

Information Theory · Computer Science 2016-11-18 Ang Yang , Zunwen He , Chengwen Xing , Zesong Fei , Jingming Kuang

Massive multi-input multi-output (Massive MIMO) has been recognized as a key technology to meet the demand for higher data capacity and massive connectivity. Nevertheless, the number of active users is restricted due to training overhead…

Information Theory · Computer Science 2018-03-19 Salah Eddine Hajri , Maialen Larrañaga , Mohamad Assaad

Conventional MU-MIMO techniques, e.g. Linear Zero-Forced Beamforming (LZFB), require sufficiently accurate channel state information at the transmitter (CSIT) in order to realize spectral efficient transmission (degree of freedom gains). In…

Information Theory · Computer Science 2011-09-30 Ansuman Adhikary , Haralabos C. Papadopoulos , Sean A. Ramprashad , Giuseppe Caire

This paper studies the achievable rate region of the K-user Gaussian multiple-input single-output interference channel (MISO-IC) with the interference treated as noise, when improper or circularly asymmetric complex Gaussian signaling is…

Information Theory · Computer Science 2013-10-10 Yong Zeng , Rui Zhang , Erry Gunawan , Yong Liang Guan

In this paper, we consider massive multiple-input-multiple-output (MIMO) communication systems with a uniform planar array (UPA) at the base station (BS) and investigate the downlink precoding with imperfect channel state information (CSI).…

Information Theory · Computer Science 2020-05-28 Junchao Shi , Wenjin Wang , Xinping Yi , Xiqi Gao , Geoffrey Ye Li

We analyze the high-SNR regime of the MxK Network MISO channel in which each transmitter has access to a different channel estimate, possibly with different precision. It has been recently shown that, for some regimes, this setting attains…

Information Theory · Computer Science 2021-10-12 Antonio Bazco-Nogueras , Paul de Kerret , David Gesbert , Nicolas Gresset

The work considers the two-user MISO broadcast channel with gradual and delayed accumulation of channel state information at the transmitter (CSIT), and addresses the question of how much feedback is necessary, and when, in order to achieve…

Information Theory · Computer Science 2012-11-08 Jinyuan Chen , Petros Elia

We investigate a general channel estimation problem in the massive multiple-input multiple-output (MIMO) system which employs the hybrid analog/digital precoding structure with limited radio-frequency (RF) chains. By properly designing RF…

Information Theory · Computer Science 2017-12-27 Leyuan Pan , Le Liang , Wei Xu , Xiaodai Dong

This paper studies the achievable rate region of the two-user single-input-single-output (SISO) Gaussian interference channel, when the improper Gaussian signaling is applied. Under the assumption that the interference is treated as…

Information Theory · Computer Science 2012-05-10 Yong Zeng , Cenk M. Yetis , Erry Gunawan , Yong Liang Guan , Rui Zhang

Hybrid precoding plays a key role in realizing massive multiple-input multiple-output (MIMO) transmitters with controllable cost. MIMO precoders are required to frequently adapt based on the variations in the channel conditions. In hybrid…

Signal Processing · Electrical Eng. & Systems 2023-01-03 Ortal Lavi , Nir Shlezinger

In this paper, secure transmission of information over fading broadcast channels is studied in the presence of statistical queueing constraints. Effective capacity is employed as a performance metric to identify the secure throughput of the…

Information Theory · Computer Science 2010-12-02 Deli Qiao , Mustafa Cenk Gursoy , Senem Velipasalar

This paper studies the achievable rates of Gaussian interference channels with additive white Gaussian noise (AWGN), when improper or circularly asymmetric complex Gaussian signaling is applied. For the Gaussian multiple-input…

Information Theory · Computer Science 2016-11-18 Yong Zeng , Cenk M. Yetis , Erry Gunawan , Yong Liang Guan , Rui Zhang

Rate-splitting multiple access (RSMA) has been studied for multiuser multiple-input multiple-output (MUMIMO) systems especially in the presence of imperfect channel state information (CSI) at the transmitter. However, its precoding designs…

Information Theory · Computer Science 2025-12-05 Wentao Zhou , Yijie Mao , Di Zhang , Mérouane Debbah , Inkyu Lee

We investigate MIMO eigenmode transmission using statistical channel state information at the transmitter. We consider a general jointly-correlated MIMO channel model, which does not require separable spatial correlations at the transmitter…

Information Theory · Computer Science 2016-11-17 Xiqi Gao , Bin Jiang , Xiao Li , Alex B. Gershman , Matthew R. McKay

Massive MIMO systems are well-suited for mm-Wave communications, as large arrays can be built with reasonable form factors, and the high array gains enable reasonable coverage even for outdoor communications. One of the main obstacles for…

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