DocumentCode :
688108
Title :
Downlink SINR distribution in multiuser large scale antenna systems with conjugate beamforming
Author :
Wence Zhang ; Bo Du ; Cunhua Pan ; Ming Chen
Author_Institution :
Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China
fYear :
2013
fDate :
9-13 Dec. 2013
Firstpage :
4163
Lastpage :
4168
Abstract :
In this paper, the downlink signal-to-interference-plus-noise ratio (SINR) distribution in multiuser large scale antenna systems with conjugate beamforming and Rayleigh fading is investigated. The probability density function (PDF) is derived and the distribution in high signal-to-noise ratio (SNR) regime is studied. Results indicate that the PDF of downlink SINR converges to F distribution when the interference is dominant over noise. It is interesting that the asymptotic SINR is just the reciprocal of the ratio of the number of users U to the number of transmit antennas N, and is irrelevant to the average transmit power when N and U grow with fixed ratio. However, when U is a large constant, the transmit power could be proportional to equation to maintain a specified quality of service (QoS), as a result of the large scale antenna system effect. Simulation results validate the derived PDF and analytical results.
Keywords :
Rayleigh channels; array signal processing; density functional theory; large-scale systems; multi-access systems; probability; quality of service; radiofrequency interference; transmitting antennas; PDF; QoS; Rayleigh fading; conjugate beamforming; downlink SINR distribution; downlink signal-to-interference-plus-noise ratio distribution; multiuser large scale antenna systems; probability density function; quality of service; signal-to-noise ratio; transmit antennas; Array signal processing; Downlink; Interference; Probability density function; Signal to noise ratio; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2013 IEEE
Conference_Location :
Atlanta, GA
Type :
conf
DOI :
10.1109/GLOCOM.2013.6831726
Filename :
6831726
Link To Document :
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