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In the 3D massive MIMO system, both the transmitter encoding and the receiver signal detection require channel state information. The accuracy of channel state information will directly affect the overall performance of the system. Therefore, accurate channel estimation is the key to reliable communication in the 3D massive MIMO system. Due to the channel sparsity of 3D massive MIMO, existing works...
In this paper, a channel estimation method based on superimposed pilots with second-order statistics is proposed for multi-cell Multiple-Input, Multiple-Output (MIMO) networks. In the proposed method, superimposed pilots are used in the uplink training and the base station gets a coarse estimation of the channel state information based on first order statistics. Then, extra information based on the...
Massive multiple-input and multiple-output (MIMO) technique is regarded as one of the most promising technique in the fifth-generation (5G) wireless communication systems. However, accurate channel estimation technique poses a challenge for spatial correlated 3D MIMO systems. Based on the conventional general sparse channel model, sparse channel estimation method using compressive sampling matching...
As the increasing requirement of channel capacity for next-generation mobile broadband communication systems, three-dimensional multiple-input multiple-output (3D MIMO) systems have been attracting much attentions in recent years. Accurate channel estimation is inevitably one of the most essential tasks for designing the 3D MIMO systems. This paper first studies the sparsity of 3D MIMO channel and...
Considering the three dimensional (3D) channel with elevation effect, a two dimensional (2D) antenna array was employed in a generic ray-based 3D multi-input multi-output (MIMO) system. Through utilizing the channel spatial correlation between antennas at the transmitter side, we propose a cascaded MMSE channel estimation with low computational complexity. Numerical results show that the proposed...
In this paper, a channel estimation method based on the superimposed pilots with the first-order statistics is proposed for massive MIMO systems. In the proposed method, no time slots are cost on training. Hence, transmission rate of the system is higher than the traditional method. Further, a decoder is designed based on MMSE decoder. Finally, simulations show that the performance of the system with...
Temporal tie points have been manually selected for sea ice concentration retrieval based on the linear combination relationship between the open water and the complete ice coverage pixel. In this paper, the multichannel information has been exploited using the constrained least-squares linear unmixing algorithm from AMSR-E multi-channels brightness temperature. Snow depth can be obtained from the...
Motivated by providing quality-of-service for next generation IP-based networks, we design algorithms to schedule packets with values and deadlines. Packets arrive over time; each packet has a non-negative value and an integer deadline. In each time step, at most one packet can be sent. Packets can be dropped at any time before they are sent. The objective is to maximize the total value gained by...
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