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Journal ArticleDOI

An overview of limited feedback in wireless communication systems

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TLDR
This tutorial provides a broad look at the field of limited feedback wireless communications, and reviews work in systems using various combinations of single antenna, multiple antenna, narrowband, broadband, single-user, and multiuser technology.
Abstract
It is now well known that employing channel adaptive signaling in wireless communication systems can yield large improvements in almost any performance metric. Unfortunately, many kinds of channel adaptive techniques have been deemed impractical in the past because of the problem of obtaining channel knowledge at the transmitter. The transmitter in many systems (such as those using frequency division duplexing) can not leverage techniques such as training to obtain channel state information. Over the last few years, research has repeatedly shown that allowing the receiver to send a small number of information bits about the channel conditions to the transmitter can allow near optimal channel adaptation. These practical systems, which are commonly referred to as limited or finite-rate feedback systems, supply benefits nearly identical to unrealizable perfect transmitter channel knowledge systems when they are judiciously designed. In this tutorial, we provide a broad look at the field of limited feedback wireless communications. We review work in systems using various combinations of single antenna, multiple antenna, narrowband, broadband, single-user, and multiuser technology. We also provide a synopsis of the role of limited feedback in the standardization of next generation wireless systems.

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Citations
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Journal ArticleDOI

Multi-Cell MIMO Cooperative Networks: A New Look at Interference

TL;DR: An overview of the theory and currently known techniques for multi-cell MIMO (multiple input multiple output) cooperation in wireless networks is presented and a few promising and quite fundamental research avenues are also suggested.
Journal ArticleDOI

Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems

TL;DR: In this article, a low-complexity hybrid analog/digital precoding for downlink multiuser mmWave systems is proposed, which involves a combination of analog and digital processing that is inspired by the power consumption of complete radio frequency and mixed signal hardware.
Journal ArticleDOI

Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems

TL;DR: Analytical and simulation results show that the proposed techniques offer higher sum rates compared with analog-only beamforming solutions, and approach the performance of the unconstrained digital beamforming with relatively small codebooks.
Journal ArticleDOI

Joint Offloading and Computing Optimization in Wireless Powered Mobile-Edge Computing Systems

TL;DR: In this paper, the authors proposed a unified MEC-WPT design by considering a wireless powered multiuser MEC system, where a multiantenna access point (AP) integrated with an MEC server broadcasts wireless power to charge multiple users and each user node relies on the harvested energy to execute computation tasks.
Dissertation

Space-Time Block Coding for Wireless Communications

E. Masoud
TL;DR: In this paper, the authors propose a solution to solve the problem of the problem: this paper ] of the "missing link" problem, i.i.p.II.
References
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Proceedings ArticleDOI

MIMO Broadcast Scheduling with Quantized Channel State Information

TL;DR: A simple, low-complexity system architecture for scheduling over a Gaussian multiple-input multiple-output (MIMO) broadcast channel with infinite message backlogs is developed and it is shown that the proposed architecture is strongly asymptotically optimal with respect to average throughput.
Journal ArticleDOI

Feedback assisted transmission subspace tracking for MIMO systems

TL;DR: A feedback assisted stochastic gradient algorithm for transmission tracking of the dominant channel subspaces for multiple-input-multiple-output (MIMO) communications systems is described and the utility of both subspace tracking in general and of the specific adaptation algorithm is demonstrated.
Book ChapterDOI

The Zero Error Capacity of a Noisy Channel

TL;DR: It is shown that while the ordinary capacity of a memoryless channel with feedback is equal to that of the same channel without feedback, the zero error capacity may be greater and a solution is given to the problem of evaluating C 0F.
Journal ArticleDOI

Feedback rate-capacity loss tradeoff for limited feedback MIMO systems

TL;DR: In the high SNR regime, a new bound on the ergodic capacity loss is presented that is tighter than the previously derived bound and it is shown that the capacity loss decreases exponentially as a function of the number of feedback bits.
Journal ArticleDOI

Adaptive downlink scheduling and rate selection: a cross-layer design

TL;DR: A cross-layer design for joint user scheduling and adaptive rate control for downlink wireless transmission is discussed, which takes a stochastic learning-based approach and achieves optimal performance in "stationary" channels.
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