DocumentCode :
3509331
Title :
Interference alignment with per-antenna power constraints
Author :
Starr, Jonathan ; El Ayach, Omar ; Heath, Robert W., Jr.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
fYear :
2011
fDate :
July 31 2011-Aug. 5 2011
Firstpage :
2746
Lastpage :
2750
Abstract :
Interference alignment is a technique for designing transmit precoders that is known to achieve the maximum multiplexing gain in the interference channel. Prior work on interference alignment has assumed sum-power constraints in designing the transmit precoders. In practice, however, each transmit antenna has its own power amplifier which constrains the power radiated from each antenna. This paper proposes and analyzes two algorithms for performing interference alignment with per-antenna equality and inequality power constraints. It is proven that incorporating inequality constraints can be done arbitrarily and does not affect the feasibility of interference alignment. Further, we show that incorporating equality constraints is more difficult and requires more antennas for interference alignment to be feasible, especially in the case of single-stream systems. It is shown through analysis and numerical sum-rate calculations that per-antenna inequality constraints result in a systematic power loss versus the cases of per-antenna equality constraints or no constraints at all.
Keywords :
antenna radiation patterns; interference (signal); multiplexing; power amplifiers; precoding; radiofrequency interference; transmitting antennas; interference alignment; interference channel; maximum multiplexing gain; numerical sum-rate calculation; per-antenna equality constraint; per-antenna power constraint; power amplifier; single-stream system; sum-power constraint; systematic power loss; transmit precoder; Algorithm design and analysis; Equations; Interference; Receiving antennas; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on
Conference_Location :
St. Petersburg
ISSN :
2157-8095
Print_ISBN :
978-1-4577-0596-0
Electronic_ISBN :
2157-8095
Type :
conf
DOI :
10.1109/ISIT.2011.6034072
Filename :
6034072
Link To Document :
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