SCM space channel Model for 3GPP
標(biāo)簽： channel Model space 3GPP
上傳時(shí)間： 2013-12-25
上傳用戶：skhlm
use for calculate BER in channel
標(biāo)簽： calculate channel use for
上傳時(shí)間： 2017-09-21
上傳用戶：kr770906
Equalizer model for a comm channel
標(biāo)簽： Equalizer channel model comm
上傳時(shí)間： 2014-01-19
上傳用戶：王者A
In this paper, we consider the channel estimation problem in Millimeter wave (mmWave) wireless systems with large antenna arrays. By exploiting the inherent sparse nature of the mmWave channel, we develop a novel rate-adaptive channel estimation (RACE) algorithm, which can adaptively adjust the number of required channel measurements based on an expected probability of estimation error (PEE).
標(biāo)簽： Estimation Millimeter Adaptive Approach channel Systems Rate MIMO Wave for
上傳時(shí)間： 2020-05-26
上傳用戶：shancjb
The working title of this book was channel Equalization for Everyone. channel equalization for everyone? Well, for high school students, channel equalization provides a simple, interesting example of how mathematics and physics can be used to solve real-world problems.
標(biāo)簽： Equalization channel
上傳時(shí)間： 2020-05-26
上傳用戶：shancjb
The very title of this book is borrowed from the information theory vocabulary, and, quite naturally, it is an outline of this theory that will serve as an introduction. The subject of information theory is the scientific study of communications. To this end it defines a quantitative measurement of the communicated content, i.e. informa- tion, and deals with two operations essential for communication techniques: source coding and channel encoding.
標(biāo)簽： Communication Networks channel Coding in
上傳時(shí)間： 2020-05-26
上傳用戶：shancjb
Multiuser multiple-input-multiple-output (MU- MIMO) systems are known to be hindered by dimensionality loss due to channel state information (CSI) acquisition overhead. In this paper, we investigate user-scheduling in MU-MIMO systems on account of CSI acquisition overhead, where a base station dynamically acquires user channels to avoid choking the system with CSI overhead.
標(biāo)簽： Acquisition Dynamic channel
上傳時(shí)間： 2020-05-27
上傳用戶：shancjb
Due to the asymmetry between the amount of data traffic in the downlink and uplink direction of nowadays and future wireless networks, a proper design of the transceivers in the broadcast channel is inevitable in order to satisfy the users’ demands on data rate and transmission quality. This book deals with the optimi- zation-based joint design of the transmit and receive filters in a MIMO broadcast channel in which the user terminals may be equipped with several antenna ele- ments.
標(biāo)簽： Broadcast channel MIMO
上傳時(shí)間： 2020-05-28
上傳用戶：shancjb
Many wireless communications channels consist of multiple signal paths from the transmitter to receiver. This multiplicity of paths leads to a phenomenon known as multipath fading. The multiple paths are caused by the presence of objects in the physical environment that, through the mechanisms of propagation, alter the path of radiated energy. These objects are referred to as scatterers. In the past, researchers often looked at ways to mitigate multipath scattering, such as in diversity systems. Multiple-input, multiple-output (MIMO) systems, on the other hand, use multipath diversity to their advantage; a MIMO system has the ability to translate increased spatial diversity into increased channel capacity.
標(biāo)簽： Multiple-Output Multiple-Input channel Models
上傳時(shí)間： 2020-05-31
上傳用戶：shancjb
The investigation of the propagation channel is becoming more and more important in mod- ern wireless communication. The demand for spectral efficiency motivates exploitation of all channels that can possibly be used for communications. Nowadays, a common trend for designing physical layer algorithms is to adapt the transceiving strategy, either by maximizing the diversity gains or by utilizing the coherence of the channels to improve the signal-to-noise power ratio.
標(biāo)簽： Characterization Propagation channel
上傳時(shí)間： 2020-05-31
上傳用戶：shancjb
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