CIF: Small: Fundamentals of Energy-Efficiency in Delay-Sensitive Wireless Communications
Project Award Date: 08-01-2014
This research will increase the understanding of delay-sensitive communication over wireless systems and networks. The objective of the proposed research is to develop a novel fundamental framework incorporating information theory, communication theory, and queueing theory for the analysis and design of energy-efficient wireless systems that support delay-sensitive applications. Previous design of wireless communication systems either neglects the statistical
queueing delay in the performance analysis or neglects the circuit power in the energy analysis. Delay-sensitive applications usually impose requirements on statistical delay-violation probabilities. For example, in the 4th generation (4G) cellular standard, the requirement on delay-violation probability for voice is 2% with the delay bound being 50ms for radio access networks. That is, for voice traffic, more than 98% of the data should experience delay less than 50ms. On
the other hand, energy-efficient design is usually considered with respect to transmit power alone. For a practical system, energy dissipation of both circuits and transmission should be considered. Accordingly, understanding the interplay among resource allocation, modulation and coding schemes (MCS), delay-violation probability, and energy-efficiency requires a new way of thinking and a new system design perspective. To provide fundamental understanding of this interplay, the proposed research is divided into two interconnected research thrusts: 1. The first thrust focuses on delay-sensitive analysis. Information theory, communication theory, and queueing theory will be integrated to provide a framework to analyze wireless system performance by jointly considering decoding error probability and delay-violation probability. 2. The second thrust focuses on energy-efficient design. Both circuit and transmit power will be considered. Transmit power will be further related to the MCS through power amplifier efficiency and processing complexity. Optimal system operations such as resource allocation and MCS adaptation will be identified for energy-efficient communication of delay-sensitive applications.