This paper considers an LTE-Advanced cooperative cellular network where a Type II relay station (RS) is deployed to enhance the cell-edge throughput and extend coverage area. To better exploit existing resources, RS eNodeB (eNB) transmit in same channel (In-Band) with decode-and-forward relaying strategy. For such network, this proposes joint Orthogonal Frequency Division Multiplexing (OFDM) subcarrier power allocation schemes optimize downlink multi-user transmission efficiency. Firstly,...

Essential proteins are distinctly important for an organism's survival and development crucial to disease analysis drug design as well. Large-scale protein-protein interaction (PPI) data sets exist in Saccharomyces cerevisiae, which provides us with a valuable opportunity predict identify essential from PPI networks. Many network topology-based computational methods have been designed detect proteins. However, these limited by the completeness of available data. To break out restraints, some...

This paper discusses the relationship between long-term evolution evolved multimedia broadcast/multicast service and next generation broadcast television. Many of techniques that are well known within one technology applicable to other. Potentially, both systems may benefit from applied in Some examples provided discussed. The implications for spectrum planning considered. recommendations made with respect appropriate actions maximize efficiency respective systems.

Electrochemical anodic oxidation-based membrane systems have garnered significant attention in the field of micropollutant removal due to their inherent advantages, including enhanced mass transport, high electroactive area, and self-cleaning ability. This comprehensive review systematically summarizes fabrication operation modes electrochemical membranes, while providing detailed insights into mechanisms by which these membranes enhance removal. Furthermore, recent advancements novel...

Human decision making is a multidimensional construct, driven by complex interplay between external factors, internal biases, and computational capacity constraints. Here, we propose layered approach to experimental design in which multiple tasks-from simple complex-with additional layers of complexity introduced at each stage are incorporated for investigating making. This demonstrated using tasks involving intertemporal choice immediate future prospects. Previous functional magnetic...

Sentiment analysis, an increasingly vital field in both academia and industry, plays a pivotal role machine learning applications, particularly on social media platforms like Reddit. However, the efficacy of sentiment analysis models is hindered by lack expansive fine-grained emotion datasets. To address this gap, our study leverages GoEmotions dataset, comprising diverse range emotions, to evaluate methods across substantial corpus 58,000 comments. Distinguished from prior studies Google...

This paper presents a novel hybrid artificial bee colony algorithm (ABC&PR) to solve the traveling salesman problem (TSP). The main feature of this is hybridize solution construction mechanism (ABC) with path relinking (PR), an evolutionary method, which introduce progressively attributes guiding into initial obtain high quality as quickly possible. Moreover, ABC considers both diversification and quality, it adopts dynamic updating strategy reference set criterion function restricting...

Recent advances in green energy technologies have boosted the deployment of wireless communication networks. Unlike traditional sources, energy, e.g., solar, wind, and hydro, etc, is sustainable eco-friendly nature. However, capacity availability highly depend on weather location, which may lead to violation users' Quality Service (QoS) requirements. In this paper, we jointly consider power allocation access point (AP) placement problems cooperative Specifically, network scenario includes...

The subject of collective attention is in the center this era information explosion. It thus great interest to understand fundamental mechanism underlying large populations within a complex evolving system. Moreover, an ability predict dynamic process for individual items has important implications array areas. In report, we propose generative probabilistic model using self-excited Hawkes with survival theory and through which gain their attentions. This explicitly captures three key...

Energy–efficient transmission and bit allocation schemes are investigated in multi–source single–sink Wireless Sensor Networks (WSNs). For over Additive White Gaussian Noise (AWGN) channels with path loss, this work shows that the overall energy consumption can be minimised if each sensor transmits minimum power cooperates others Time–Division Multiple Access (TDMA) mode. From efficient correlated source coding perspective, Slepian–Wolf theorem is applied. Jointly considering two aspects, we...