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Massive MIMO is a promising technology for 5G due to its huge extended multi-user spatial multiplexing and beamforming capability, but its high complexity makes the associated MAC scheduling suffer from long processing time in practice. To solve such problem, this paper designs a low-latency uplink MAC scheduling scheme for Massive MIMO-OFDM systems. Specifically, first, a framework enabling processing...
Low Earth Orbit (LEO) satellite networks play an important role in global real-time satellite communication. However, due to the limitations of satellite bandwidth and power, it is urgent to utilize resources efficiently and prevent unnecessary resources waste. Existing researches usually focus on resources allocation for downlinks without considering Inter-Satellite Links (ISLs). This paper introduces...
The problem of locating and tracking a mobile station (MS) in which real-time computation is needed has received considerable attentions. In this paper, a fast and computationally simple subspace based algorithm for mobile positioning using of time-of-arrival (TOA) measurements at three base stations (BS) is derived and analyzed. Since the Lagrange multiplier is introduced to avoid eigen-decomposition...
Automatic modulation classification (AMC) is widely used in both civilian and military applications. This paper presents a new method for the automatic classification of higher order QAM signals via Rayleigh fading channel, using a modified Joint Power Estimation and Modulation Classification (JPEMC) algorithm and Fisher criterion. The proposed algorithm has low computational complexity. The advantages...
This paper proposes a new method which combines blind equalization and morphology based image-processing to identify MQAM signals in multipath environment. The advantage of our approach is that, by using image-processing, only 128??128 bits data is required to be stored. Furthermore, even the eye diagram of equalized signal for 64QAM is not opened enough, it can still be used to classify. Computer...
Automatic modulation classification (AMC) is a scheme to identify the data samples automatically. Usually, in wireless communication, especially through the Rayleigh fading channel, AMC performance will severe degrade. This paper presents a new method for AMC, using a modified Joint Power Estimation and modulation types of the transmitted signals by observing the receive Modulation Classification...
This paper presents a method for the automatic classification of MQAM signals in Rayleigh fading channel. The advantage of our method is that, by designing a feature vector which is composed of higher order moments, we do not have to acquire a priori knowledge of signal parameters, what is more, it is a simple, very low complexity, robust method. Computer simulations are made and the results show...
In this paper, the per-layer design for Tomlinson-Harashima precoding (THP) in the downlink of multiuser multiple-input multiple-output (MIMO) systems is investigated. In these systems, multiple antennas are located at all the transceivers, and the number of the receivers is equal to that of the transmit antennas. Based on the criterion of maximizing system sum-capacity, we propose two per-layer joint...
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