TY - GEN
T1 - Robust channel esimaton and schedulng for heterogeneous muluser masve MIMO sysems
AU - Le Hong Nguyen, Sinh
AU - Le-Ngoc, Tho
AU - Ghrayeb, Ai
N1 - Publisher Copyright:
© VDE VERLAG GMBH, Berlin, Offenbach, Germany.
PY - 2014
Y1 - 2014
N2 - We consder a correlated muluser (MU) massive mulple-input mulple-output (MIMO) downlink channel n which many heterogeneous users have derent channel qualies (e., dierent path-oses) to a base staton (BS) equipped wih a arge antenna array. Ung he theory of extreme values of regularly varying functions, we characterize the scaling laws of he achievable sum-rate of the sysem, when both numbers of BS antennas and users grow arge. We then prove that for a large number of users, a simple uer schedulng that chooses the uers wih the largest insantaneous channel vector norms based on the global channel sate informaton (CSI) can significanty mprove he achievable sysem sum-rate. Finally, since he schedulng method needs the global CSI esmate to operate, we propose an efficient algorithm based on ow-rank matrix approximaton o esmate the global CSI wh a moderate number of trainng signals. Analyss and numerical simulatons show hat the proposed scheme provides favourable results in terms of system sum-rate performance and computatonal complexity.
AB - We consder a correlated muluser (MU) massive mulple-input mulple-output (MIMO) downlink channel n which many heterogeneous users have derent channel qualies (e., dierent path-oses) to a base staton (BS) equipped wih a arge antenna array. Ung he theory of extreme values of regularly varying functions, we characterize the scaling laws of he achievable sum-rate of the sysem, when both numbers of BS antennas and users grow arge. We then prove that for a large number of users, a simple uer schedulng that chooses the uers wih the largest insantaneous channel vector norms based on the global channel sate informaton (CSI) can significanty mprove he achievable sysem sum-rate. Finally, since he schedulng method needs the global CSI esmate to operate, we propose an efficient algorithm based on ow-rank matrix approximaton o esmate the global CSI wh a moderate number of trainng signals. Analyss and numerical simulatons show hat the proposed scheme provides favourable results in terms of system sum-rate performance and computatonal complexity.
KW - Channel esimaton
KW - Low-ank approximaton
KW - Massive MIMO
KW - Regularly varying
KW - User schedulng
UR - http://www.scopus.com/inward/record.url?scp=84916881597&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84916881597
T3 - 20th European Wireless Conference, EW 2014
SP - 213
EP - 218
BT - 20th European Wireless Conference, EW 2014
PB - VDE Verlag GmbH
T2 - 20th European Wireless Conference, EW 2014
Y2 - 14 May 2014 through 16 May 2014
ER -