PPT-Massive MIMO Systems: Signal Processing Challenges and Research Trends

Author : alexa-scheidler | Published Date : 2018-09-22

Rodrigo C de Lamare CETUC PUCRio Brazil Communications Research Group Department of Electronics University of York UK delamarecetucpucriobr Outline Introduction

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Massive MIMO Systems: Signal Processing Challenges and Research Trends: Transcript


Rodrigo C de Lamare CETUC PUCRio Brazil Communications Research Group Department of Electronics University of York UK delamarecetucpucriobr Outline Introduction Application . Decimation or downsampling reduces the sampling rate whereas expansion or upsampling fol lowed by interpolation increases the sampling rate Some applications of multirate signal processing are Upsampling ie increasing the sampling frequency before D Emil . Björnson. ‡*. , . Michail . Matthaiou. ‡§. , and . Mérouane. . Debbah. ‡. ‡. Alcatel-Lucent Chair on Flexible Radio, . Supélec. , France. *. Dept. Signal Processing, KTH, and Linköping University, Sweden. Non-Ideal . Hardware. Emil . Björnson. ‡*. Joint work with. : Jakob Hoydis. †. , . Marios . Kountouris. ‡. , and . Mérouane. . Debbah. ‡. ‡. Alcatel-Lucent Chair on Flexible Radio and Department of Telecommunications, . project Guitar Effects. Joshua “Rock Star” Jenkins . Jeff “Tremolo” Smith . Jairo. “the boss” Rojas. Table of contents. Typical Guitar Effects Pipeline.. Classifying Effects for guitar implementation.. for . Energy Efficiency. Emil . Björnson. ‡*. Joint work with. : . Luca . Sanguinetti. ‡§. , Jakob Hoydis. †. , and . Mérouane. . Debbah. ‡. ‡. Alcatel-Lucent Chair on Flexible Radio, . Lecture Slides. 10-Oct-2017. Multiple Input Multiple Output Systems. Channel Impairments. Required Textbook. : . Antennas . and Propagation for Wireless Communication Systems. , by Simon R. Saunders and Alejandro Aragon-Zavala, ISBN 978-0-470-84879-1; March 2007 (2. . Rate. . Adaptation. Advanced. . Computer. . Networks. CS577-2014. . Fall. Presented. . by. . Tianyang. . Wang. Oct.28. th. ,. . 2014. (. Ioannis. . Pefkianakis. ,. . Suk-Bok. . Lee,. . Mário Marques da Silva. marques.silva@ieee.org. Outline. Introduction. System. . Characterization. for MIMO . types. Space. -Time . Block. . Coding. (open . loop. ). Selective. . Transmit. . Diversity. MIMO Wireless Communications over Generalized Fading Channels. Dr. . Brijesh. . Kumbhani. Prof. . Rakhesh. Singh . Kshetrimayum. Point-to-point MIMO: Discussed in previous chapters. Single transmitter single receiver. Interference Alignment. COS . 463. : . Wireless . Networks. Lecture . 18. Kyle Jamieson. [Parts adapted from D. Tse]. MIMO Channel Degrees of Freedom. MIMO Channel Capacity. Interference Alignment. Today. Networks. Emil . Björnson. ‡*. Joint work with. : Jakob Hoydis. †. , . Marios . Kountouris. ‡. , and . Mérouane. . Debbah. ‡. ‡. Alcatel-Lucent Chair on Flexible Radio and Department of Telecommunications, . Malcolm Robertson, Keysight. Jon Martens, Anritsu. Chris Scholz, Rohde & Schwarz. Jason White, National Instruments. Moderator: Kate A. Remley, NIST. IEEE 5G Summit. So Many Systems, . So Much to Measure. 2 MIMO in HSPA: the Real-World Impact Contents 1Executive Summary2 The Role of MIMO in HSPA What is MIMO, and What Does it Provide? 3Implementation and Deployment 4 Co-existence of MIMO and Legacy Te COS . 463. : Wireless . Networks. Lecture . 16. Kyle Jamieson. [Parts adapted from D. Halperin . et al., . T. Rappaport]. Multiple-Input, Multiple-Output (MIMO). communications. Send/receive > 1 signal on different transmit and receive antennas.

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