Results 41 to 50 of about 15,258 (188)
Device-Relaying in Cellular D2D Networks: A Fairness Perspective [PDF]
, 2015 Device-to-Device (D2D) communication is envisioned to be an integral component of 5G networks, and a technique for meeting the demand for high data rates.
Chaaban, Anas, Sezgin, Aydin
core +2 more sources
Power Allocation for D2D Communications With SWIPT
IEEE Transactions on Wireless Communications, 2020 Power allocation plays a vital role in coordinating interference between Device-to-Device (D2D) and cellular communications, and when power allocation meets simultaneous wireless information and power transfer (SWIPT), the energy efficiency of D2D communications can be significantly improved.
Jun Huang +2 more
openaire +3 more sources
Advanced Intelligent Discovery, EarlyView.Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj +2 more
wiley +1 more source
Cognitive and Energy Harvesting-Based D2D Communication in Cellular Networks: Stochastic Geometry Modeling and Analysis [PDF]
, 2015 While cognitive radio enables spectrum-efficient wireless communication, radio frequency (RF) energy harvesting from ambient interference is an enabler for energy-efficient wireless communication.
Hossain, Ekram, Sakr, Ahmed Hamdi
core
Wireless powered D2D communications underlying cellular networks: design and performance of the extended coverage [PDF]
, 2017 Because of the short battery life of user equipments (UEs), and the requirements for better quality of service have been more demanding, energy efficiency (EE) has emerged to be important in device-to-device (D2D) communications.
Nguyen, Hoang-Sy +2 more
core +2 more sources
Gradual volatile memristor–based artificial neurons with high uniformity for neuromorphic computing
InfoScience, EarlyView.Schematic of leaky integrate‐and‐fire artificial neurons for MNIST image classification. Abstract Artificial neurons are pivotal for neuromorphic hardware, but the development of compact and uniform devices remains challenging. Conventional volatile memristors suffer from abrupt switching, which hinders spatiotemporal consistency.
Pengtao Li +12 more
wiley +1 more source
On the Analysis of Cellular Networks with Caching and Coordinated Device-to-Device Communication [PDF]
, 2016 In this paper, we develop a comprehensive analytical framework for cellular networks that are enhanced with coordinated device-to-device (D2D) communication, where the D2D devices are equipped with content caching capabilities.
Afzal, A +3 more
core +1 more source
International Journal of Applied Linguistics, EarlyView.ABSTRACT Spurred by the advancement of educational technology, more language instruction has been offered in online environments. Consequently, teaching practices have had to adapt to digital platforms. Accordingly, teachers’ provision of synchronous written corrective feedback (SWCF) on digital texts has received increasing attention.
Sanghee Kang, YouJin Kim, Minkyung Kim
wiley +1 more source
Energy Efficiency and Sum Rate when Massive MIMO meets Device-to-Device Communication
, 2015 This paper considers a scenario of short-range communication, known as device-to-device (D2D) communication, where D2D users reuse the downlink resources of a cellular network to transmit directly to their corresponding receivers.
Björnson, Emil +4 more
core +3 more sources
International Journal of Applied Linguistics, EarlyView.ABSTRACT This study investigated the influence of learner‐ and word‐related variables on L2 vocabulary learning through the word part technique (WPT), a morphological mnemonic designed to strengthen form–meaning associations through knowledge of affixes and stems.
Gaia Oikawa +2 more
wiley +1 more source