TY - GEN
T1 - Capacity scaling of MIMO broadcast channels with random user distribution
AU - Sohn, Illsoo
AU - Andrews, Jeffrey G.
AU - Lee, Kwang Bok
PY - 2010
Y1 - 2010
N2 - A novel capacity scaling law for multiple-input multiple-output (MIMO) broadcast channels is derived considering a random user distribution. The random locations cause unequal average SNRs amongst the users, whereas prior work typically assumes that all users have the same average SNR. Most centralized wireless networks, e.g. cellular systems, are more accurately captured by the proposed model. For a large number of users, the average sum capacity is shown to scale like M log K instead of M log log K, where M and K denote the number of transmit antennas and the number of users within a cell. This means that the average sum capacity of cellular MIMO broadcast channels grows significantly faster than previous results indicate.
AB - A novel capacity scaling law for multiple-input multiple-output (MIMO) broadcast channels is derived considering a random user distribution. The random locations cause unequal average SNRs amongst the users, whereas prior work typically assumes that all users have the same average SNR. Most centralized wireless networks, e.g. cellular systems, are more accurately captured by the proposed model. For a large number of users, the average sum capacity is shown to scale like M log K instead of M log log K, where M and K denote the number of transmit antennas and the number of users within a cell. This means that the average sum capacity of cellular MIMO broadcast channels grows significantly faster than previous results indicate.
UR - http://www.scopus.com/inward/record.url?scp=77955701294&partnerID=8YFLogxK
U2 - 10.1109/ISIT.2010.5513446
DO - 10.1109/ISIT.2010.5513446
M3 - Conference contribution
AN - SCOPUS:77955701294
SN - 9781424469604
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 2133
EP - 2137
BT - 2010 IEEE International Symposium on Information Theory, ISIT 2010 - Proceedings
T2 - 2010 IEEE International Symposium on Information Theory, ISIT 2010
Y2 - 13 June 2010 through 18 June 2010
ER -