Title :
Energy-efficient power control policies in fading channels with Markov arrivals and QoS constraints
Author :
Ozmen, Mustafa ; Gursoy, M. Cenk
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY, USA
Abstract :
In this paper, energy efficiency in fading channels is analyzed when data arrivals are modeled as a discrete Markov process and statistical QoS constraints are imposed. In particular, under the assumption that the channel side information is available at the transmitter, energy-efficient power adaptation policies are identified, taking into account both transmission and circuit power consumptions. In this setting, the impact of QoS limitations, circuit power considerations and source burstiness on the optimal power control policies and the optimal average power transmission levels required for energy efficient operation is investigated.
Keywords :
Markov processes; energy conservation; fading channels; power consumption; power control; quality of service; radio transmitters; statistical analysis; Markov data arrival; QoS limitations; channel side information; circuit power consumption; discrete Markov process; energy efficient power adaptation policy; fading channel; optimal average power transmission level; optimal energy efficient power control policy; source burstiness; statistical QoS constraints; transmission power consumption; transmitter; Bandwidth; Fading; Markov processes; Power control; Quality of service; Throughput; Wireless communication; Markov arrivals; QoS constraints; energy efficiency; power control;
Conference_Titel :
Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE
Conference_Location :
Austin, TX
DOI :
10.1109/GlobalSIP.2013.6736901