The Multiple - Input Multiple - Output Systems in Slow and Fast Varying Radio Channels
نویسندگان
چکیده
Multiple-input multiple-output (MIMO) systems are well known as a technique which allows increasing the throughput of a radio link and overcoming the effects of multipath fading. However, the integration of MIMO systems into the standards of wireless networks is slow, as there are numerous problems still unsolved. This PhD thesis deals with MIMO systems in slow and fast varying radio channels. First, the general issues of MIMO systems are considered. Multiplexing gain and diversity concepts, channel knowledge, coding techniques as well as multiuser access and wideband transmission are discussed. Next, the channel aspects of MIMO systems are investigated. The phenomenon of multipath propagation, channel models, variations in the radio channel and channel estimation are addressed. Then, the author’s research in the area of slow and fast varying MIMO channels is presented. The following theses are formulated and proved: 1. The throughput in slow varying radio channels of indoor MIMO systems can be significantly increased when the locations and the antennas of the access point are carefully chosen. 2. Iterative Channel Estimation (ICE) algorithm allows decreasing the bit error rate in fast varying radio channels without frequent transmissions of training sequences.
منابع مشابه
Agh University of Science and Technology Faculty of Electrical Engineering , Automatics , Computer Science and Electronics the Multiple - Input Multiple - Output Systems in Slow and Fast Varying Radio Channels
Multiple-input multiple-output (MIMO) systems are well known as a technique which allows increasing the throughput of a radio link and overcoming the effects of multipath fading. However, the integration of MIMO systems into the standards of wireless networks is slow, as there are numerous problems still unsolved. This PhD thesis deals with MIMO systems in slow and fast varying radio channels. ...
متن کاملIdentification of Multiple Input-multiple Output Non-linear System Cement Rotary Kiln using Stochastic Gradient-based Rough-neural Network
Because of the existing interactions among the variables of a multiple input-multiple output (MIMO) nonlinear system, its identification is a difficult task, particularly in the presence of uncertainties. Cement rotary kiln (CRK) is a MIMO nonlinear system in the cement factory with a complicated mechanism and uncertain disturbances. The identification of CRK is very important for different pur...
متن کاملMultiple Fuzzy Regression Model for Fuzzy Input-Output Data
A novel approach to the problem of regression modeling for fuzzy input-output data is introduced.In order to estimate the parameters of the model, a distance on the space of interval-valued quantities is employed.By minimizing the sum of squared errors, a class of regression models is derived based on the interval-valued data obtained from the $alpha$-level sets of fuzzy input-output data.Then,...
متن کاملA Survey on Multicast Routing Approaches in Wireless Mesh Networks
Wireless mesh networks (WMNs) which mediates the broadband Internet access, have been recently received many attentions by the researchers. In order to increase capacity in these networks, nodes are equipped with multiple radios tuned on multiple channels emerging multi radio multi-channel WMNs (MRMC WMNs). Therefore, a vital challenge that poses in MRMC WMNs is how to properly assign channels ...
متن کاملClassifying inputs and outputs in interval data envelopment analysis
Data envelopment analysis (DEA) is an approach to measure the relative efficiency of decision-making units with multiple inputs and multiple outputs using mathematical programming. In the traditional DEA, it is assumed that we know the input or output role of each performance measure. But in some situations, the type of performance measure is unknown. These performance measures are called flexi...
متن کامل