TY - JOUR
T1 - User capacity analysis of space division multiple access channel
AU - Luo, Zhi Quan
AU - Shum, Wai Yin
AU - Zhao, Gongyun
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2003
Y1 - 2003
N2 - Space Division Multiple Access (SDMA), which uses beamforming techniques to exploit the spatial diversity of different users, can significantly increase system capacity as well as the communication range between users and the basestation. In this paper, we consider the SDMA uplink channel, whereby a pool of users wish to communicate with a basestation with a fixed quality of service (QoS) requirement. We analyze the SDMA average user capacity defined as the average maximum number of random users that can be scheduled for simultaneous transmission, while meeting their respective QoS requirements. Using a standard probabilistic model involving narrow-band and far-field assumptions for the random users, we characterize the average user capacity in terms of the number of antennas, the QoS requirement, number of users and the maximum SNR (signal to noise ratio) among all users. These results act as a system design guide, offering insight into the tradeoff between hardware cost and system performance.
AB - Space Division Multiple Access (SDMA), which uses beamforming techniques to exploit the spatial diversity of different users, can significantly increase system capacity as well as the communication range between users and the basestation. In this paper, we consider the SDMA uplink channel, whereby a pool of users wish to communicate with a basestation with a fixed quality of service (QoS) requirement. We analyze the SDMA average user capacity defined as the average maximum number of random users that can be scheduled for simultaneous transmission, while meeting their respective QoS requirements. Using a standard probabilistic model involving narrow-band and far-field assumptions for the random users, we characterize the average user capacity in terms of the number of antennas, the QoS requirement, number of users and the maximum SNR (signal to noise ratio) among all users. These results act as a system design guide, offering insight into the tradeoff between hardware cost and system performance.
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M3 - Conference article
AN - SCOPUS:4143119858
SN - 1058-6393
VL - 1
SP - 223
EP - 227
JO - Conference Record of the Asilomar Conference on Signals, Systems and Computers
JF - Conference Record of the Asilomar Conference on Signals, Systems and Computers
T2 - Conference Record of the Thirty-Seventh Asilomar Conference on Signals, Systems and Computers
Y2 - 9 November 2003 through 12 November 2003
ER -