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The detailed analysis and structural characterization of proteoforms by top-down proteomics (TDP) has gained a lot of interest in biomedical research. Data-dependent acquisition (DDA) of intact proteins is non-trivial due to the diversity and complexity of proteoforms. Dedicated acquisition methods thus have the potential to greatly improve TDP. Here, we present FLASHIda, an intelligent online data acquisition algorithm for TDP that ensures the real-time selection of high-quality precursors of diverse proteoforms. FLASHIda combines fast charge deconvolution algorithms and machine learning-based quality assessment for optimal precursor selection. In an analysis of E. coli lysate, FLASHIda increases the number of unique proteoform level identifications from 800 to 1500 or generates a near-identical number of identifications in one third of the instrument time when compared to standard DDA mode. Furthermore, FLASHIda enables sensitive mapping of post-translational modifications and detection of chemical adducts. As a software extension module to the instrument, FLASHIda can be readily adopted for TDP studies of complex samples to enhance proteoform identification rates. Data acquisition suitable for top-down proteomics (TDP) has the potential to significantly improve proteoform analysis. Here, the authors present FLASHIda, an intelligent online data acquisition algorithm for TDP that nearly doubles the number of proteoform-level identifications in complex samples. [ABSTRACT FROM AUTHOR]

The gene amplification of human epidermal growth factor receptor 2 (HER2) plays an essential role in the proliferation and progression of several cancers. However, HER2 inhibitors such as lapatinib strongly suppress wild-type EGFR, resulting in severe adverse effects. Therefore, there is an unmet need for highly selective HER2 inhibitors. In this study, we describe the design and synthesis of novel quinazoline derivatives that exhibit enhanced selectivity for HER2 over wild-type EGFR. Structure–activity relationship analysis indicated that the selectivity for HER2 over EGFR depends on the aniline moiety at C-4 and the substituents at C-6 in the quinazoline derivatives. Compound 7c with an IC50 of 8 nM for HER2 exhibited significantly higher selectivity for HER2 over EGFR, with a 240-fold improvement over lapatinib. In addition, the synthesized compounds exhibited anti-proliferative activity in the nanomolar range against SKBR3, a human breast cancer cell line that overexpresses HER2. [ABSTRACT FROM AUTHOR]

Recently, the 3rd Generation Partnership Project has developed vehicle-to-everything communication to manage and advance future traffic safety and mobility. In this study, we propose a position-based resource allocation scheme for vehicle-to-vehicle communication. The proposed scheme allocates a different frequency and time resources based on vehicle speed, density, direction, and position. Our performance analysis is based on urban and freeway cases involving periodic message transmission. Simulation results show that the proposed scheme can improve the cumulative distribution function of packet reception ratio (PRR) and average PRR. [ABSTRACT FROM AUTHOR]

The 3rd Generation Partnership Project (3GPP) has recently developed device-to-device (D2D) communication to cope with the explosively increasing mobile data traffic. The D2D communication uses sidelink that is based on the single-carrier frequency-division multiple access scheme because of its low peak-to-average power ratio. In addition, the demodulation reference signal is designed to support multiple input multiple output. In this paper, we propose a DFT-based channel estimation scheme for sidelink in D2D communication. The proposed scheme uses the two-dimensional minimum mean square error interpolation scheme for a user moving at a high speed. We performed a system level simulation based on 20-MHz bandwidth of the 3GPP LTE-Advanced system. Simulation results show that the proposed channel estimation scheme has improved signal-to-interference-plus-noise ratio, throughput, and spectral efficiency as compared with a conventional scheme. [ABSTRACT FROM AUTHOR]

In this paper, we propose a channel estimation scheme for a long term evolution-advanced (LTE-A) downlink system. The proposed scheme uses the fast Fourier transform (FFT) interpolation scheme for the user moving at a high speed. The FFT interpolation scheme converts the channel frequency response obtained from the least square or minimum mean square error channel estimation scheme to a time-domain channel impulse response by using the inverse FFT (IFFT). After windowing the channel response in the time domain, the channel frequency response can be obtained using the FFT. We performed a system-level simulation based on the 20 MHz bandwidth of the 3rd Generation Partnership Project LTE-A downlink system. Simulation results show that the proposed channel estimation scheme can improve the signal-to-noise-plus-interference ratio, as well as the throughput and spectral efficiency, of a conventional system. [ABSTRACT FROM AUTHOR]

Recently, 3rd Generation Partnership Project (3GPP) has developed a network-assisted interference cancellation and suppression scheme to reduce the effect of interference. In this paper, we propose an advanced receiver based on soft decision to reduce the interference from the neighbor cells. The proposed receiver can suppress and cancel the interference by calculating the unbiased estimation value of the interference signal using the minimum mean square error or the interference rejection combining receiver. The interference signal is updated using soft information expressed by the log-likelihood ratio. We perform the system-level simulation based on 20 MHz bandwidth of a 3GPP LTE-Advanced sidelink system. The simulation results show that the proposed receiver can improve the signal-to-noise-plus-interference ratio, throughput, and spectral efficiency of a conventional system. [ABSTRACT FROM AUTHOR]

Recently, the 3rd Generation Partnership Project (3GPP) has developed a sidelink system to compensate for the explosive increase in mobile data traffic. However, there are numerous challenging technical problems that must be overcome. One major problem is inter-cell interference management. 3GPP has considered network-assisted interference cancellation and suppression to improve both the signal-to-noise-plus-interference ratio (SINR) and receiver performance by suppression or cancellation of inter-cell interference signals. In this paper, we propose a novel advanced receiver to reduce the interference from neighbor cell in sidelink systems. The proposed receiver can suppress and cancel the interference by combining interference rejection combining with successive interference cancellation. We perform a system-level simulation based on 20 MHz bandwidth of 3GPP LTE-Advanced system. Simulation results show that the proposed receiver can improve the SINR, throughput, and spectral efficiency, relative to a conventional system. [ABSTRACT FROM AUTHOR]

Massive MIMO (also known as the 'Large-Scale Antenna System') enables a significant reduction of latency on the air interface with the use of a large excess of service-antennas over active terminals and time division duplex operation. For large-scale MIMO, several technical issues need to be addressed (e.g., pilot pattern design and low-antenna power transmission design) and theoretically addressed (e.g., channel estimation and power allocation schemes). In this paper, we analyze the ergodic spectral efficiency upper bound of a large-scale MIMO, and the key technologies including channel uplink detection. We also present new approaches for detection and power allocation. Assuming arbitrary antenna correlation and user distributions, we derive approximations of achievable rates with linear detection techniques, namely zero forcing, maximum ratio combining, minimum mean squared error (MMSE) and eigen-value decomposition power allocation (EVD-PA). While the approximations are tight in the large system limit with an infinitely large number of antennas and user terminals, they also match our simulations for realistic system dimensions. We further show that a simple EVD-PA detection scheme can achieve the same performance as MMSE with one order of magnitude fewer antennas in both uncorrelated and correlated fading channels. Our simulation results show that our proposal is a better detection scheme than the conventional scheme for LSAS. Also, we used two channel environment channels for further analysis of our algorithm: the Long Term Evolution Advanced channel and the Millimeter wave Mobile Broadband channel. [ABSTRACT FROM AUTHOR]

Massive MIMO systems (also known as 'large-scale antenna system' and 'full-dimension MIMO') significantly reduce air interface latency by using a large excess of service antennas over active terminals and time-division duplex operation. We consider the downlink of a time-division duplexing multicell multiuser MIMO system in which the base transceiver stations are equipped with a very large number of antennas. Assuming channel estimation through uplink pilots, arbitrary antenna correlations, and user distributions, we derive approximations of achievable rates with linear precoding techniques-namely, zero forcing, matched filtering, eigen-beamforming (EBF), and regularized zero-forcing (RZF). The approximations are tight in the large system limit with an infinitely large number of antennas and user terminals, but they match our simulations for realistic system dimensions. We further show that a simple EBF precoding scheme can achieve the same performance as RZF with one order of magnitude fewer antennas in both uncorrelated and correlated fading channels. Our simulation results show that our proposed precoding scheme is better than the conventional scheme. Moreover, we have used two channel environments for further analysis of our algorithm-long-term evolution advanced and millimeter wave mobile broadband channels. [ABSTRACT FROM AUTHOR]

Recently, the 3rd Generation Partnership Project (3GPP) developed a sidehaul system to cope with rapidly increasing mobile data traffic. However, numerous challenging technical problems remain to be resolved. One of the major problems is interference management between small cells. In this paper, we propose an advanced receiver based on soft decision to reduce the interference from neighboring cells in the sidehaul system. The proposed receiver can suppress and cancel interference by integrating the interference rejection combining technique with successive interference cancellation. The interference signal is updated using soft information expressed by a log-likelihood ratio. We perform a simulation based on the 20-MHz bandwidth of the 3GPP LTE-Advanced technology. Simulation results show that the proposed receiver can achieve a lower error rate and a higher throughput compared to conventional receivers. [ABSTRACT FROM AUTHOR]

Recently, the 3rd Generation Partnership Project (3GPP) has developed a sidehaul system to cope with rapidly increasing mobile data traffic. Nevertheless, numerous challenging technical problems remain. One of the major problems is interference management between small cells. In this paper, we propose a novel hybrid receiver for full suspension cancellation to reduce the interference from neighboring cells in the sidehaul system. The proposed receiver can cancel and suppress interference by integrating the interference rejection combining technique with successive interference cancellation. We perform a simulation based on the 20-MHz bandwidth of the 3GPP LTE-Advanced technology. Simulation results show that the proposed receiver can achieve a lower error rate and a higher throughput compared to conventional receivers. [ABSTRACT FROM AUTHOR]

A heterogeneous network (HetNet) based on the long-term evolution advanced standard has been developed to improve the system performance; in this HetNet, macrocells and low-power nodes, such as picocells, coexist. Further, cell range expansion has been introduced to encourage data offloading in a HetNet. In this paper, we propose a cell selection scheme based on the signal-to-interference-plus-noise ratio to achieve an optimal offloading effect. We also propose a resource allocation scheme in the frequency and time domains, to reduce interference in a HetNet. In the frequency domain, the macrocells allocate a frequency band by using soft frequency reuse, and the picocells choose the sub-bands that are not used in the macrocell sector, to avoid interference. In addition, we found that it was difficult to allocate a limited frequency resource. Therefore, the cross-tier interference can be managed by using an almost blank subframe (ABS) with a flexible ABS ratio, to improve spectrum efficiency in the time domain. The simulation results show that the proposed schemes can improve the spectrum efficiency of both the macro-user equipment and the pico-user equipment, as well as improve the overall UE performance. [ABSTRACT FROM AUTHOR]