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A multiple transmit antenna, single receive antenna (per receiver) downlink channel with limited channel feedback is considered. Given a constraint on the total system-wide channel feedback, the following question is considered: is it…

Information Theory · Computer Science 2007-10-09 Niranjay Ravindran , Nihar Jindal

A multiple antenna broadcast channel with perfect channel state information at the receivers is considered. If each receiver quantizes its channel knowledge to a finite number of bits which are fed back to the transmitter, the large…

Information Theory · Computer Science 2007-07-13 Nihar Jindal

A multiple antenna downlink channel where limited channel feedback is available to the transmitter is considered. In a vector downlink channel (single antenna at each receiver), the transmit antenna array can be used to transmit separate…

Information Theory · Computer Science 2016-11-17 Nihar Jindal

Multiple transmit antennas in a downlink channel can provide tremendous capacity (i.e. multiplexing) gains, even when receivers have only single antennas. However, receiver and transmitter channel state information is generally required. In…

Information Theory · Computer Science 2011-11-09 Nihar Jindal

In this paper, we perform a cost-benefit analysis of multiuser diversity in single antenna broadcast channels. It is well known that multiuser diversity can be beneficial but there is a significant cost associated with acquiring…

Information Theory · Computer Science 2015-03-18 Amogh Rajanna , Nihar Jindal

For the multiuser multiple-input multiple-output (MIMO) downlink channel, the users feedback their channel state information (CSI) to help the base station (BS) schedule users and improve the system sum rate. However, this incurs a large…

Information Theory · Computer Science 2011-03-22 Jin-Hao Li , Hsuan-Jung Su , Yu-Lun Tsai

In downlink multi-antenna systems with many users, the multiplexing gain is strictly limited by the number of transmit antennas $N$ and the use of these antennas. Assuming that the total number of receive antennas at the multi-antenna users…

Information Theory · Computer Science 2014-07-25 Emil Björnson , Marios Kountouris , Mats Bengtsson , Björn Ottersten

We consider a MIMO fading broadcast channel and compute achievable ergodic rates when channel state information is acquired at the receivers via downlink training and it is provided to the transmitter by channel state feedback. Unquantized…

Information Theory · Computer Science 2016-11-17 Giuseppe Caire , Nihar Jindal , Mari Kobayashi , Niranjay Ravindran

We analyze a MISO downlink channel where a multi-antenna transmitter communicates with a large number of single-antenna receivers. Using linear beamforming or nonlinear precoding techniques, the transmitter can serve multiple users…

Information Theory · Computer Science 2018-05-07 Sebastian Schiessl , James Gross , Giuseppe Caire

This paper addresses the optimal design of limited-feedback downlink multi-user spatial multiplexing systems. A multiple-antenna base-station is assumed to serve multiple single-antenna users, who quantize and feed back their channel state…

Information Theory · Computer Science 2011-12-30 Behrouz Khoshnevis , Wei Yu

The theory of multiple-input multiple-output (MIMO) technology has been well-developed to increase fading channel capacity over single-input single-output (SISO) systems. This capacity gain can often be leveraged by utilizing channel state…

Information Theory · Computer Science 2008-02-25 Il Han Kim , David J. Love

A limitation of bandwidth in the wireless network and the exponential rise in the high data rate requirement prompted the development of Massive Multiple-Input-Multiple-Output (MIMO) technique in 5G. Using this method the ever rising data…

Signal Processing · Electrical Eng. & Systems 2024-06-11 Mariea Sharaf Anzum , Moontasir Rafique , Md. Asif Ishrak Sarder , Fehima Tajrian , Abdullah Bin Shams

The capacity of a fading channel can be substantially increased by feeding back channel state information from the receiver to the transmitter. With limited-rate feedback what state information to feed back and how to encode it are…

Information Theory · Computer Science 2016-11-15 Manish Agarwal , Dongning Guo , Michael Honig

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

Information Theory · Computer Science 2013-11-07 Zhengdao Wang

In this paper, we analyze the asymptotic performance of multiple antenna channels where the transmitter has either perfect or finite bit channel state information. Using the diversity-multiplexing tradeoff to characterize the system…

Information Theory · Computer Science 2007-07-13 Ahmad Khoshnevis , Ashutosh Sabharwal

We consider a MIMO fading broadcast channel where the fading channel coefficients are constant over time-frequency blocks that span a coherent time $\times$ a coherence bandwidth. In closed-loop systems, channel state information at…

Information Theory · Computer Science 2009-12-11 Mari Kobayashi , Nihar Jindal , Giuseppe Caire

An exponential increase in the data rate demand prompted several technical innovations. Multi User Multiple Input Multiple Output (MU-MIMO) is one of the most promising schemes. This has been evolved into Massive MIMO technology in 5G to…

Signal Processing · Electrical Eng. & Systems 2024-06-11 Md. Asif Ishrak Sarder , Fehima Tajrian , Moontasir Rafique , Mariea Anzum , Abdullah Bin Shams

This paper considers broadcast channels with L antennas at the base station and m single-antenna users, where L and m are typically of the same order. We assume that only partial channel state information is available at the base station…

Information Theory · Computer Science 2008-06-18 Wei Dai , Youjian , Liu , Brian C. Rider , Wen Gao

This paper proposes an adaptive multi-mode transmission strategy to improve the spectral efficiency achieved in the multiple-input multiple-output (MIMO) broadcast channel with delayed and quantized channel state information. The adaptive…

Information Theory · Computer Science 2016-11-17 Jun Zhang , Marios Kountouris , Jeffrey G. Andrews , Robert W. Heath

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
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