Wireless Transmission of Big Data: A Transmission Time Analysis Over Fading Channel

Abstract

In this paper, we investigate the transmission time of a large amount of data over fading wireless channel with adaptive modulation and coding (AMC). Unlike traditional transmission systems, where the transmission time of a fixed amount of data is typically regarded as a constant, the transmission time with AMC becomes a random variable, as the transmission rate varies with the fading channel condition. To facilitate the design and optimization of wireless transmission schemes for big data applications, we present an analytical framework to determine statistical characterizations for the transmission time of big data with AMC. In particular, we derive the exact statistics of transmission time over block fading channels. The probability mass function (PMF) and cumulative distribution function (CDF) of transmission time are obtained for both slow and fast fading scenarios. We further extend our analysis to Markov channel, where transmission time becomes the sum of a sequence of exponentially distributed time slots. Analytical expression for the probability density function (PDF) of transmission time is derived for both fast fading and slow fading scenarios. These analytical results are essential to the optimal design and performance analysis of future wireless transmission systems for big data applications.

Level Crossing Rate and Average Outage Duration of Free Space Optical Links

“…In fact, the temporal variations of the fading channels are characterized by the second order statistics, in particular, the level crossing rate (LCR) and the AOD. These two important statistics are useful for the Markov modeling of wireless channels [2]- [3] and the design of error control codes and the type of diversity to be used in wireless communication systems to combat the effect of fading, and therefore they have been the topic of many works in the literature. Since it can change with time because of user mobility, fading can be represented as a random process.…”

Wireless Transmission of Big Data: Data-oriented Performance Limits and Their Applications

“…An initial investigation on the transmission time of big data with discrete rate adaptation over fading channels has been recently reported [9].…”

“…When the transmission sessions are short, the quality of service experienced by individual sessions vary dramatically around the average. In particular, it was recently shown that the transmission time of a fixed amount of data with adaptive transmission over fading channels vary considerably around its average [9]. With the growing popularity of IoT devices and big data applications, future wireless systems need to support increasing number of short transmission sessions, initiated for example by sensor nodes.…”