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Related papers: MIMO Broadcast Channels with Finite Rate Feedback

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Multiple transmitting antennas can considerably increase the downlink spectral efficiency by beamforming to multiple users at the same time. However, multiuser beamforming requires channel state information (CSI) at the transmitter, which…

Information Theory · Computer Science 2017-01-31 Xu Du , John Tadrous , Ashutosh Sabharwal

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,…

Information Theory · Computer Science 2012-07-10 Xinping Yi , David Gesbert

A rapid change of channels in high-speed mobile communications will lead to difficulties in channel estimation and tracking but can also provide Doppler diversity. In this paper, the performance of a multiple-input multiple-output system…

Information Theory · Computer Science 2020-02-19 Xiaoyun Hou , Jie Ling , Dongming Wang

We consider the massive MIMO downlink with time-division duplex (TDD) operation and conjugate beamforming transmission. To reliably decode the desired signals, the users need to know the effective channel gain. In this paper, we propose a…

Information Theory · Computer Science 2015-04-01 Hien Quoc Ngo , Erik G. Larsson

This paper considers feedback load reduction for multiuser multiple input multiple output (MIMO) broadcast channel where the users' channel distributions are not homogeneous. A cluster-based feedback scheme is proposed such that the range…

Information Theory · Computer Science 2011-03-18 Jin-Hao Li , Hsuan-Jung Su

We study a multiple-input multiple-output (MIMO) multiple access channel (MAC) from several multi-antenna transmitters to a multi-antenna receiver. The fading channels between the transmitters and the receiver are modeled by random…

Information Theory · Computer Science 2011-05-04 Jakob Hoydis , Romain Couillet , Merouane Debbah

Massive multiple-input multiple-output (MIMO) networks, where the base stations (BSs) are equipped with large number of antennas and serve a number of users simultaneously, are very promising, but suffer from pilot contamination. Despite…

Information Theory · Computer Science 2015-04-10 Anastasios K. Papazafeiropoulos , Hien Quoc Ngo , Tharm Ratnarajah

In the limited feedback downlink multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) system, both the effective channel gain and the channel direction need to be quantized. The quantization error affects the feasible…

Information Theory · Computer Science 2026-04-14 Ruizhan Shen , Hamid Jafarkhani

While interference alignment schemes have been employed to realize the full multiplexing gain of $K$-user interference channels, the analyses performed so far have predominantly focused on the case when global channel knowledge is available…

Information Theory · Computer Science 2009-12-01 Rajesh T Krishnamachari , Mahesh K Varanasi

In this paper, the performance of an underlay multiple-input multiple-output (MIMO) cognitive radio system is analytically studied. In particular, the secondary transmitter operates in a spatial multiplexing transmission mode, while a…

Information Theory · Computer Science 2018-01-23 Nikolaos I. Miridakis , Theodoros A. Tsiftsis , George C. Alexandropoulos

To support machine-type communication (MTC), massive multiple-input multiple-output (MIMO) has been considered for grant-free random access. In general, the performance of grant-free random access with massive MIMO is limited by the number…

Information Theory · Computer Science 2020-09-03 Jinho Choi

Cell-free massive MIMO and symbiotic radio are promising beyond 5G (B5G) networking architecture and transmission technology, respectively. This paper studies cell-free symbiotic radio systems, where a number of distributed access points…

Information Theory · Computer Science 2021-06-14 Zhuoyin Dai , Ruoguang Li , Jingran Xu , Yong Zeng , Shi Jin

This paper considers broadcast channels with L antennas at the base station and m single-antenna users, where each user has perfect channel knowledge and the base station obtains channel information through a finite rate feedback. The key…

Information Theory · Computer Science 2007-07-13 Wei Dai , Youjian , Liu , Brian Rider

Massive multi-input multi-output (MIMO) uses a very large number of low-power transmit antennas to serve much smaller numbers of users. The most widely proposed type of massive MIMO transmit beamforming is zero-forcing, which is based on…

Information Theory · Computer Science 2017-12-12 Long D. Nguyen , Hoang D. Tuan , Trung Q. Duong , H. Vincent Poor

This paper studies the interference channel with two transmitters and two receivers in the presence of a MIMO relay in the low transmit power regime. A communication scheme combining block Markov encoding, beamforming, and Willems' backward…

Information Theory · Computer Science 2009-10-21 Anas Chaaban , Aydin Sezgin

Massive multiple-input multiple-output (MIMO) is expected to play a central role in future wireless systems. The deployment of large antenna arrays at the base station and the mobile users offers multiplexing and beamforming gains that…

Information Theory · Computer Science 2016-11-17 Ahmed Alkhateeb , Young-Han Nam , Jianzhong Zhang , Robert W. Heath

We consider the problem of linear transceiver design to achieve max-min fairness in a downlink MIMO multicell network. This problem can be formulated as maximizing the minimum rate among all the users in an interfering broadcast channel…

Information Theory · Computer Science 2012-09-03 Meisam Razaviyayn , Mingyi Hong , Zhi-Quan Luo

In this letter, we investigate the downlink performance of massive multiple-input multiple-output (MIMO) systems where the base station is equipped with one-bit analogto-digital/digital-to-analog converters (ADC/DACs). Considering…

Information Theory · Computer Science 2017-02-13 Yongzhi Li , Cheng Tao , A. Lee Swindlehurst , Amine Mezghani , Liu Liu

Channel state information (CSI) at the base station (BS) is crucial to achieve beamforming and multiplexing gains in multiple-input multiple-output (MIMO) systems. State-of-the-art limited feedback schemes require feedback overhead that…

Information Theory · Computer Science 2018-10-17 Panos N. Alevizos , Xiao Fu , Nicholas D. Sidiropoulos , Yang Ye , Aggelos Bletsas

We propose a generalized feedback model and compressive sensing based opportunistic feedback schemes for feedback resource reduction in MIMO Broadcast Channels under the assumption that both uplink and downlink channels undergo block…

Information Theory · Computer Science 2015-02-17 Syed Qaseem , Tareq Al-Naffouri , Mohammed Eltayeb , Hamid Reza Bahrami
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