Title :
Cognitive Radio Transmissions Exploiting Multi-User Diversity under Channel and Sensing Uncertainty
Author :
Ozcan, Gozde ; Gursoy, M. Cenk
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., Syracuse, NY, USA
Abstract :
In this paper, a cognitive multiple access channel (MAC) in which the secondary transmitters opportunistically communicate with a secondary receiver (i.e., a secondary base station) is considered. It is assumed that the base station first determines the channel availability through channel sensing and then broadcasts a pilot symbol with energy depending on the channel sensing decision in order to facilitate the linear minimum mean-square estimation (LMMSE) of the channel fading coefficient between itself and each secondary user. The user with the largest estimated channel gain is selected opportunistically for data transmission during each frame. In this setting, achievable rates and energy efficiency are studied by exploiting the multi-user diversity in the presence of channel sensing and channel estimation errors. The interactions between number of users, channel sensing parameters and performance (e.g., detection and false-alarm probabilities), achievable rates, and energy efficiency are analyzed. Performance gains due to collaborative sensing and multi-user diversity are investigated.
Keywords :
channel estimation; cognitive radio; mean square error methods; wireless channels; LMMSE; MAC; channel estimation errors; channel fading coefficient; channel gain; channel sensing decision; channel sensing parameters; channel uncertainty; cognitive multiple access channel; cognitive radio transmissions; data transmission; linear minimum mean square estimation; multiuser diversity; pilot symbol; secondary base station; secondary receiver; secondary transmitters; sensing uncertainty; Base stations; Channel estimation; Cognitive radio; Fading; Radio transmitters; Sensors; Achievable rate; and probability of false alarm; channel sensing; energy efficiency; linear minimum mean-square error channel estimation; multiple access channel; multiuser diversity; probability of detection;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2013.072313.130494