With limited channel state information (CSI) of the mobile stations (MS), base stations (BS) cooperate to preprocess the transmission, improving the bit error rate (BER) performance, spectral efficiency, and becoming one of the research focuses in the field of wireless communications. Revolving around removing the co-channel interference (CCI) and optimizing the throughput, this paper investigates
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Multi-antenna system, named as Multiple-Input Multiple-Output (MIMO) system, which could improve transmission capacity and link reliability, has become one of key technologies that realize the high-speed broadband wireless Internet access networks in the future and has wide application prospect in the next generation mobile communications. This thesis discusses single-user downlink precoding algorithms based on spatial
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In wireless communication environment, High-speed communications is faced with the limited spectrum resources, time-varying complex wireless environment and other issues. It is difficult to resolve these questions by using traditional way. In order to meet the higher data rates, better service quality, and greater damand for network capacity, innovative techniques that improve spectral efficiency and
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Multi-input Multi-output system is a wireless transmission system which adopts multiple transmit antennas and multiple receive antennas. MIMO technology signifi- cantly improves the system capacity and the performance of wireless communication systems. In order to further meet the communication requirements, we propose a MI- MO precoding technique.MIMO precoding, which uses the channel state information at
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The precoding technology is to design a pre-processing with exploiting the channel state information at the transmitter, to remove the interference among the antennas or users in the receiving signals, and do adaptive processing to improve the system performance. One hand this method can simplify the processing at the receiver, the other hand the adaptive
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Improving the spectral efficiency by multi-input multi-output (MIMO) technology without increasing the system bandwidth and antennas transmitting power, it is the common view on the design of communication system standards in future. Precoding is one of the core technologies to guarantee the transmission performance of MIMO. The correlative algorithms of precoding affect the validity and
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With the development of economy, advancement of society and improvement of people’s standard of living, new generation wireless communication systems are expected to provide higher transmission rate, offer better quality and support faster moving terminals. The most effect way to meet such requirements is the MIMO technology, which deploys multiple antennas at transmitter and/or receiver.
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The wireless communication has got great achievement over the last decades, In order to maintain these growth rates, next generation wireless systems must supply both reliability and high data rates with a fixed amount of spectrum and limited power. Multiple-Input-Multiple-Output(MIMO) wireless communication systems which use multiple antennas at both transmitters and receives are widely accepted
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Modern communication systems require higher data transmition rate than ever, this promote the application and study of new and sophisticated signal processing methods. Precoding is one of the signal processing methods which requires channel state information at transmitter. Precoding is widely studied now.Precoding is developed to increase the data transmission rate of wireless communications. It
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System research and analysis with imperfect channel state information (CSI) play a very important role in communication area. The paper aims to study and analyze system performances on condition of imperfect CSI. Characteristics of mobile radio channels, estimation methods and algorithms, comparisons between perfect conditions and imperfect ones and so on are main contents in
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