scholarly journals Downlink Training Techniques for FDD Massive MIMO Systems: Open-Loop and Closed-Loop Training With Memory

2014 ◽  
Vol 8 (5) ◽  
pp. 802-814 ◽  
Author(s):  
Junil Choi ◽  
David J. Love ◽  
Patrick Bidigare
Keyword(s):  
Massive Mimo ◽  
Closed Loop ◽  
Mimo Systems ◽  
Open Loop ◽  
Training Techniques ◽  
With Memory

Identification of Multi-Input Multi-Output Systems Using Combined Direct and Indirect Methods

2014 ◽  
Vol 625 ◽  
pp. 414-417
Author(s):  
Abdelraheem Faisal ◽  
Marappagounder Ramasamy ◽  
Mahadzir Shuhaimi ◽  
Mohamed Rahim
Keyword(s):  
Closed Loop ◽  
Mimo Systems ◽  
Open Loop ◽  
Identification Procedure ◽  
Indirect Methods ◽  
Representative Case ◽  
Closed Loop Identification ◽  
Decentralized Model ◽  
Direct And Indirect Methods

Successful deployment of cooperative decentralized model predicative control needs reasonably accurate subsystem interactions models. Processes in which open-loop tests are not permitted, closed-loop identification of subsystems interactions is crucial. An approach that combines the direct and indirect methods of closed-loop identification is proposed in this paper. It is shown that full dynamics of MIMO systems can be determined following a two-steps identification procedure. A representative case study is used to demonstrate the efficacy of the proposed approach.

scholarly journals A System View on Iterative MIMO Detection: Dynamic Sphere Detection versus Fixed Effort List Detection

VLSI Design ◽  
2012 ◽  
Vol 2012 ◽  
pp. 1-14 ◽  
Author(s):  
Christina Gimmler-Dumont ◽  
Frank Kienle ◽  
Bin Wu ◽  
Guido Masera
Keyword(s):  
Communication Systems ◽  
Closed Loop ◽  
Mimo Systems ◽  
Open Loop ◽  
Spatial Multiplexing ◽  
Loop System ◽  
Mimo Detection ◽  
Closed Loop System ◽  
Closed Loop Systems ◽  
Sphere Detection

Multiple-antenna systems are a promising approach to increase the data rate of wireless communication systems. One efficient possibility is spatial multiplexing of the transmitted symbols over several antennas. Many different MIMO detector algorithms exist for this spatial multiplexing. The major difference between different MIMO detectors is the resulting communications performance and implementation complexity, respectively. Particularly closed-loop MIMO systems have attained a lot of attention in the last years. In a closed-loop system, reliability information is fed back from the channel decoder to the MIMO detector. In this paper, we derive a basic framework to compare different soft-input soft-output MIMO detectors in open- and closed-loop systems. Within this framework, we analyze a depth-first sphere detector and a breadth-first fixed effort detector for different application scenarios and their effects on area and energy efficiency on the whole system. We present all system components under open- and closed-loop system aspects and determine the overall implementation cost for changing an open-loop system in a closed-loop system.

scholarly journals AN EFFICIENT PARADIGM FOR EVALUATING THE CHANNEL CAPACITY OF CLOSED-LOOP MASSIVE MIMO SYSTEMS

2020 ◽  
Vol 98 ◽  
pp. 1-16 ◽  
Author(s):  
Abbas Al-Wahhamy ◽  
Nicholas E. Buris ◽  
Hussain M. Al-Rizzo ◽  
Samer Yahya
Keyword(s):  
Channel Capacity ◽  
Massive Mimo ◽  
Closed Loop ◽  
Mimo Systems

Closed-Loop Compressive CSIT Estimation in FDD Massive MIMO Systems With 1 Bit Feedback

2016 ◽  
Vol 64 (8) ◽  
pp. 2146-2155 ◽  
Author(s):  
Vincent K. N. Lau ◽  
Songfu Cai ◽  
An Liu
Keyword(s):  
Massive Mimo ◽  
Closed Loop ◽  
Mimo Systems

On closed-loop equilibrium strategies for mean-field stochastic linear quadratic problems

2020 ◽  
Vol 26 ◽  
pp. 41
Author(s):  
Tianxiao Wang
Keyword(s):  
Optimal Control ◽  
Closed Loop ◽  
Optimal Control Problems ◽  
Mean Field ◽  
Open Loop ◽  
Time Inconsistency ◽  
Control Problems ◽  
Linear Quadratic ◽  
Linear Quadratic Optimal Control ◽  
Equilibrium Strategies

This article is concerned with linear quadratic optimal control problems of mean-field stochastic differential equations (MF-SDE) with deterministic coefficients. To treat the time inconsistency of the optimal control problems, linear closed-loop equilibrium strategies are introduced and characterized by variational approach. Our developed methodology drops the delicate convergence procedures in Yong [Trans. Amer. Math. Soc. 369 (2017) 5467–5523]. When the MF-SDE reduces to SDE, our Riccati system coincides with the analogue in Yong [Trans. Amer. Math. Soc. 369 (2017) 5467–5523]. However, these two systems are in general different from each other due to the conditional mean-field terms in the MF-SDE. Eventually, the comparisons with pre-committed optimal strategies, open-loop equilibrium strategies are given in details.

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