Sentence examples for efficiency of data transmission from inspiring English sources
We study the energy efficient transmission design for maximizing the system energy efficiency of data transmission (bits/Joule delivered to the receivers) which is defined as the ratio of the weighted sum rate to the total power consumption.
Intuitively, the product of the queue length and transmission rate reflects the urgency and efficiency of data transmission.
However, we focus on another challenge in the efficiency of data transmission for multi-hop ad hoc networks.
This scheme periodically adapts message paths to reduce the number of network links that are used, increasing the efficiency of data transmission.
In the next section, we will propose a possible pilot design which can keep a balance between the efficiency of data transmission and performance of the system.
In addition, a resource allocation scheme for maximizing the energy efficiency of data transmission was developed for single input single output (SISO) frequency division multiple access (OFDMA) system with simultaneous wireless information and power transfer [17].
In order to improve the efficiency and reliability of data transmission in wireless sensor networks, we proposed a cluster routing protocol for wireless sensor networks.
IEEE 802.11 Medium Access Control MACcommonlynly uses the mandatory distributed coordination function (DCF) for channel access, due to its simplicity and efficiency in the operation of data transmission.
With spatial multiplexing, we can achieve high spectral efficiency, but the reliability of data transmission gets worse especially when there is a correlation between antennas.
The experiment results also show the superiority of the proposed interoperable private cloud storage service in terms of data transmission and storage efficiency.
This paper proposed a parallel power flow calculation method based on RDDs, DAG optimization and the Newton-Raphson method to deal with the problem of large amounts of data transmission and low efficiency in the MapReduce model for parallel computation.
