Second and Higher-Order Statistics based Multiple-Input-Multiple-Output System Blind Identification Matlab Code
標(biāo)簽： Multiple-Input-Multiple-Output Identification Higher-Order Statistics
上傳時(shí)間： 2013-12-24
上傳用戶：wpt
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
A combined space鈥搕ime block coding (STBC) and eigen-space tracking (EST) scheme in multiple-input-Multiple-Output systems is proposed. It is proved that the STBC-EST is capable of shifting hardware complexity from the receiver to the transmitter without any bit error rate (BER) performance loss. A computation efficient EST algorithm is also proposed, which makes the STBC-EST affordable. Simulation results show that the STBC-EST with a modest feedback requirement results in a negligible BER performance loss compared with a dual system configuration.
標(biāo)簽： multiple-input-m eigen-space combined tracking
上傳時(shí)間： 2014-01-13
上傳用戶：磊子226
3rd Generation Partnership Project Technical Specification Group Radio Access Network Spatial channel model for Multiple Input Multiple Output [MIMO] simulations
標(biāo)簽： Specification Partnership Generation Technical
上傳時(shí)間： 2014-01-11
上傳用戶：nanfeicui
This book gives a comprehensive overview of the technologies for the advances of mobile radio access networks. The topics covered include linear transmitters, superconducting filters and cryogenic radio frequency (RF) front head, radio over fiber, software radio base stations, mobile terminal positioning, high speed downlink packet access (HSDPA), multiple antenna systems such as smart antennas and multiple input and multiple output (MIMO) systems, orthogonal frequency division multiplexing (OFDM) systems, IP-based radio access networks (RAN), autonomic networks, and ubiquitous networks.
標(biāo)簽： Advances Networks Access Mobile Radio in
上傳時(shí)間： 2020-05-26
上傳用戶：shancjb
Multiple-Input Multiple-Output (MIMO) systems have recently been the subject of intensive consideration in modem wireless communications as they offer the potential of providing high capacity, thus unleashing a wide range of applications in the wireless domain. The main feature of MIMO systems is the use of space-time processing and Space-Time Codes (STCs). Among a variety of STCs, orthogonal Space-Time Block Codes (STBCs) have a much simpler decoding method, compared to other STCs
標(biāo)簽： Orthogonal Space-Time Processing Complex
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
To meet the future demand for huge traffic volume of wireless data service, the research on the fifth generation (5G) mobile communication systems has been undertaken in recent years. It is expected that the spectral and energy efficiencies in 5G mobile communication systems should be ten-fold higher than the ones in the fourth generation (4G) mobile communication systems. Therefore, it is important to further exploit the potential of spatial multiplexing of multiple antennas. In the last twenty years, multiple-input Multiple-Output (MIMO) antenna techniques have been considered as the key techniques to increase the capacity of wireless communication systems. When a large-scale antenna array (which is also called massive MIMO) is equipped in a base-station, or a large number of distributed antennas (which is also called large-scale distributed MIMO) are deployed, the spectral and energy efficiencies can be further improved by using spatial domain multiple access. This paper provides an overview of massive MIMO and large-scale distributed MIMO systems, including spectral efficiency analysis, channel state information (CSI) acquisition, wireless transmission technology, and resource allocation.
標(biāo)簽： Large-scale Antenna Systems
上傳時(shí)間： 2020-05-27
上傳用戶：shancjb
In order to improve the spectral efficiency in wireless communications, multiple antennas are employed at both transmitter and receiver sides, where the resulting system is referred to as the multiple-input Multiple-Output (MIMO) system. In MIMO systems, it is usually requiredto detect signals jointly as multiple signals are transmitted through multiple signal paths between the transmitter and the receiver. This joint detection becomes the MIMO detection.
標(biāo)簽： Complexity Detection MIMO Low
上傳時(shí)間： 2020-05-27
上傳用戶：shancjb
Use of multiple antennas at both ends of wireless links is the result of the natural progression of more than four decades of evolution of adaptive antenna technology. Recent advances have demonstrated that multiple- input-Multiple-Output (MIMO) wireless systems can achieve impressive increases in overall system performance.
標(biāo)簽： Technology System MIMO
上傳時(shí)間： 2020-05-28
上傳用戶：shancjb
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