DocumentCode
3352664
Title
How Many Users should be Turned On in a Multi-Antenna Broadcast Channel
Author
Dai, Wei ; Liu, Youjian Eugene ; Rider, Brian
Author_Institution
Colorado Univ., Boulder
fYear
2007
fDate
14-16 March 2007
Firstpage
806
Lastpage
811
Abstract
This paper considers broadcast channels with L antennas at the base station and m single-antenna users, where each user has perfect channel knowledge and the base station obtains channel information through a finite rate feedback. The key observation of this paper is that the optimal number of on-users (users turned on), say s, is a function of signal-to-noise ratio (SNR) and other system parameters. Towards this observation, we use asymptotic analysis to guide the design of feedback and transmission strategies. As L, m and the feedback rates approach infinity linearly, we derive the asymptotic optimal feedback strategy and a realistic criterion to decide which users should be turned on. Define the corresponding asymptotic throughput per antenna as the spatial efficiency. It is a function of the number of on-users s, and therefore, s should be appropriately chosen. Based on the above asymptotic results, we also develop a scheme for a system with finite many antennas and users. Compared with other works where s is presumed constant, our scheme achieves a significant gain by choosing the appropriate s. Furthermore, our analysis and scheme is valid for heterogeneous systems where different users may have different path loss coefficients and feedback rates.
Keywords
antenna arrays; broadcast antennas; broadcast channels; feedback; multiuser channels; L antennas; asymptotic optimal feedback strategy; finite rate feedback; m single-antenna user; multiantenna broadcast channel; Antenna feeds; Base stations; Broadcasting; Channel state information; H infinity control; Interference; Signal to noise ratio; State feedback; Throughput; Transmitters; broadcast channel; finite rate feedback; spatial efficiency;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Sciences and Systems, 2007. CISS '07. 41st Annual Conference on
Conference_Location
Baltimore, MD
Print_ISBN
1-4244-1063-3
Electronic_ISBN
1-4244-1037-1
Type
conf
DOI
10.1109/CISS.2007.4298419
Filename
4298419
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