DocumentCode :
1991818
Title :
Interference aware scheduling for peak channel reuse and max-capacity in smart meter networks
Author :
Nagothu, Kranthi Manoj ; Rajaee, Amir ; Kelley, Brian ; Jamshidi, M.
Author_Institution :
Electr. & Comput. Eng., Univ. of Texas at San Antonio, San Antonio, TX, USA
fYear :
2013
fDate :
28-31 Jan. 2013
Firstpage :
263
Lastpage :
267
Abstract :
This paper introduces highly significant improvements in the multiuser capacity in unplanned networks with high levels of co-channel interference. We view this as the likely system scenario for future cognitive radio (CR) networks. For this reason, this paper presents a novel opportunistic interference aware scheduling protocol ideally suited for maximum channel reuse in unplanned networks. We present results for maximum capacity CR networks, many of which may be based upon the future IEEE 802.22 standard. The IEEE 802.22 standard lists smart grid as a future application protocol. We analyze the application of SISO (single-input and single-output) and MIMO (multiple-input and multiple output) interference aware scheduling to maximize the capacity and number of scheduled smart meters. We present simulation results that show tremendous improvement in the total capacity and number of scheduled smart meters in comparison to traditional scheduling schemes.
Keywords :
MIMO communication; channel capacity; cognitive radio; protocols; radiofrequency interference; scheduling; smart meters; CR networks; IEEE 802.22 standard; MIMO; SISO; cochannel interference; cognitive radio networks; maximum channel reusability; multiple-input multiple-output interference; multiuser capacity; opportunistic interference aware scheduling protocol; peak channel reusability; single-input single-output interference; smart meter networks max-capacity; unplanned networks; Interference; MIMO; OFDM; Signal to noise ratio; Smart grids; Smart meters; Wireless communication; IEEE 802.22; cognitive radio; interference-scheduling; smart grid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Networking and Communications (ICNC), 2013 International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-5287-1
Electronic_ISBN :
978-1-4673-5286-4
Type :
conf
DOI :
10.1109/ICCNC.2013.6504092
Filename :
6504092
Link To Document :
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