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Many wireless networks are rapidly become part of our daily life. However, range and data rate in wireless devices are limited. One method is to use Multiple-Input Multiple-Output (MIMO) communication system to overcome these limitations. The multiple antennas allow MIMO systems to perform diversity coding (space-time coding), and spatial multiplexing. Beamforming consists of transmitting the same...
Two principal transmission techniques have been developed to take advantage of Multiple-Input Multiple-Output (MIMO) systems: Spatial Multiplexing and Diversity Transmission. In this paper we are combining space-time block code (STBC) with spatial multiplexing technique over space to take advantages of both schemes. At the receiver, a minimum mean square error (MMSE) detector with interference cancelation...
Receive beamfoming techniques play an important role in MIMO communications systems as means to mitigate interference and enhance the link quality. Multipoint receive beamforming methods are expected to provide additional gains in systems employing advanced coordinated multipoint processing. Due to its importance, receive beamforming has been studied extensively in the literature. The optimal detection...
MEMO techniques play a key role in the current wireless specifications including IEEE 802.1 In, IEEE 802.16e, and LTE. Indeed, spatial multiplexing (SM) and Alamouti code are already in use in WiMAX systems based on IEEE 802.16e specifications. But more efficient full-diversity full-rate codes, such as Golden code, are still under discussion and have been proposed for future evolutions of the standards...
Using multiple antennas in wireless communication systems proposes some degrees of freedom in system design, these degrees of freedom can be applied to improve the system reliability by using space time block coding (STBC) which provides diversity gain. Degrees of freedom also can be applied to increase the system capacity using spatial multiplexing (SM) methods. It is possible to achieve a trade-off...
In this paper, we study multi-layered concatenated coding for MIMO-OFDM systems. The proposed system combines spatial multiplexing with transmit diversity at each layer. In addition, each layer concatenates a powerful class of bandwidth efficient coding called IQ-TCM with STBC. This allows the code to achieve full spatial and frequency diversity for each layer at much lower complexity in terms of...
The paper provides a method for combining HARQ along with Self-Interference Cancellation Coding (SICC), so that the reliability of spatial multiplexing MIMO transmissions can be improved. The simulation results show that significant gain is achieved over the traditional Chase Combing.
Spatial multiplexing is a key feature for upgrading transmission rate in recent wireless communication systems. However, the performance improvement comes at the cost of decoding complexity. Sphere decoders have shown the distinction to provide the maximum likelihood (ML) solution to this signal detection problem with much lower complexity than the exhaustive search. In this paper, the algorithm of...
This paper studies capacity-approaching transmission schemes for the multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) channel, under the assumption that the channel state information (CSI) is completely known at the receiver but only partially available at the transmitter via a limited-rate feedback channel. A vertical Bell Labs layered space-time (V-BLAST)-based...
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