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Abstrak :
ABSTRAK
Konsumsi energi yang paling banyak pada suatu data centre digunakan untuk pendinginan peralatan IT. Untuk menghasilkan pendingin dengan konsumsi energi yang lebih hemat, dapat bekerja pada variasi beban panas yang dihasilkan peralatan IT, dapat mengendalikan suhu sebesar 20-25 oC, dan kelembapan 40- 55% dirancang sistem presisi tata udara. Penelitian ini akan diimplementasikan suatu algoritma identifikasi yang bersifat black box yang berarti tidak membutuhkan a-priori knowledge. Innovasi pada penelitian ini adalah memanfaatkan algoritma MOESP untuk mengidentifikasi secara rekursif pada sistem nonlinier dan MIMO. Pengendali yang diusulkan adalah Model Predictif Control (MPC) untuk mengkompensasi pengaruh gangguan dan ketidakakuratan model, dan memiliki adaptasi yang lebih cepat dibandingkan pengendali klasik. Model identifikasi dibentuk melalui proses identifikasi sistem berbasis eksperimen berupa masukan kecepatan kipas dan tegangan kompresor dan keluaran suhu dan kelembapan. Dari masukan dan keluaran akan diolah menghasilkan ruang keadaaan yang nantinya akan digunakan untuk dikendalikan menggunakan MPC.

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ABSTRACT
The most energy consumption in data centers is used for cooling IT equipment. To produce a cooler with a more efficient energy consumption, can work on a variation of the heat load generated IT equipment, can control the temperatures of 20-25 ° C, humidity 40-55% and the precision of air systems are designed. This study will implement an identification algorithm that is a black box which means that does not require a-priori knowledge. Innovations in this research is to utilize the algorithm recursively MOESP to identify the nonlinear and MIMO systems. The proposed controller is Model Predictif Control (MPC) to compensate for the effect of disturbances and inaccuracies model, and has a more rapid adaptation than classical controllers. Model identification was established through the process of system identification experiments based on the input of the fan speed and voltage output of the compressor and the temperature and humidity. Of input and output will be processed produce circumstances that space will be used for the controlled use of MPC.

Abstrak :
MIMO communication for cellular networks describes single-user, multiuser, network MIMO technologies and system-level aspects of cellular networks, including channel modeling, resource scheduling, interference mitigation, and simulation methodologies. The key concepts are presented with sufficient generality to be applied to a wide range of wireless systems, including those based on cellular standards such as LTE, LTE-Advanced, WiMAX, and WiMAX2.

Abstrak :
Layanan sistem komukisasi wireless yang berkembang semakin pesat berpengaruh pada kebutuhan lebar pita frekuensi pelanggan sistem wireless sehingga membutuhkan pita frekuensi yang lebar. sistem MIMO merupakan salah satu solusi yang bisa memenuhi kebutuhan ini. nkapasitas kanal juga dipengaruhi oleh korelasi antar elemen antena MIMO

Abstrak :
Pada Kanal MIMO, kondisi tersebut dapat menyebabkan sinyal saling berkolerasi. Pada penelitian ini di analisis kinerja sistem MIMO-OFDM dengan empat antena transceiver pada kanal yang berkolerasi.

Abstrak :
This practical resource offers a thorough examination of RF transceiver design for MIMO communications. Offering a practical view on MIMO wireless systems, this book extends fundamental concepts on classic wireless transceiver design techniques to MIMO transceivers. This in-depth volume describes many theoretical and implementation challenges on MIMO transceivers and provides the practical solutions for these issues. This comprehensive book provides thorough descriptions of MIMO theoretical concepts, MIMO single carrier and OFDM modulation, RF transceiver design concepts, power amplifier, MIMO transmitter design techniques and their RF impairments, MIMO receiver design methods, RF impairments study including nonlinearity, DC-offset, I/Q imbalance and phase noise and their compensation in OFDM and MIMO techniques.

Abstrak :
Low complexity MIMO detection introduces the principle of MIMO systems and signal detection via MIMO channels. This book systematically introduces the symbol detection in MIMO systems. Includes the fundamental knowledge of MIMO detection and recent research outcomes for low complexity MIMO detection.

Abstrak :
This book is unique in presenting channels, techniques and standards for the next generation of MIMO wireless networks. Through a unified framework, it emphasizes how propagation mechanisms impact the system performance under realistic power constraints. Combining a solid mathematical analysis with a physical and intuitive approach to space-time signal processing, the book progressively derives innovative designs for space-time coding and precoding as well as multi-user and multi-cell techniques, taking into consideration that MIMO channels are often far from ideal. Reflecting developments since the first edition was published, this book has been thoroughly revised, and now includes new sections and five new chapters, respectively dealing with receiver design, multi-user MIMO, multi-cell MIMO, MIMO implementation in standards, and MIMO system-level evaluation.