TY - GEN
T1 - Performance of precoded integer-forcing for closed-loop MIMO multicast
AU - Domanovitz, Elad
AU - Erez, Uri
N1 - Publisher Copyright: © 2014 IEEE.
PY - 2014/12/1
Y1 - 2014/12/1
N2 - The integer-forcing receiver architecture has recently been proposed as a high-performance, yet low-complexity, equalization scheme, that is applicable when all data streams are encoded with the same linear code. It was further shown in [1], that this receiver architecture, when coupled with space-time linear precoding is able to achieve the capacity of the open-loop multiple-input multiple-output channel, up to a constant gap that depends only on the number of transmit antennas. The gap, however, is quite large and thus provides performance guarantees that are useful only for high values of capacity. In this work, we consider the problem of multicast over multiple-input multiple-output channels to a modest number of users, and with space-only linear precoding. It is assumed that channel state information is available to the transmitter, allowing it to optimize the precoding matrix so as to maximize the achievable transmission rate. It is numerically demonstrated that this architecture allows to very closely approach the multicast capacity at all transmission rates regimes.
AB - The integer-forcing receiver architecture has recently been proposed as a high-performance, yet low-complexity, equalization scheme, that is applicable when all data streams are encoded with the same linear code. It was further shown in [1], that this receiver architecture, when coupled with space-time linear precoding is able to achieve the capacity of the open-loop multiple-input multiple-output channel, up to a constant gap that depends only on the number of transmit antennas. The gap, however, is quite large and thus provides performance guarantees that are useful only for high values of capacity. In this work, we consider the problem of multicast over multiple-input multiple-output channels to a modest number of users, and with space-only linear precoding. It is assumed that channel state information is available to the transmitter, allowing it to optimize the precoding matrix so as to maximize the achievable transmission rate. It is numerically demonstrated that this architecture allows to very closely approach the multicast capacity at all transmission rates regimes.
UR - http://www.scopus.com/inward/record.url?scp=84929378888&partnerID=8YFLogxK
U2 - https://doi.org/10.1109/ITW.2014.6970837
DO - https://doi.org/10.1109/ITW.2014.6970837
M3 - منشور من مؤتمر
T3 - 2014 IEEE Information Theory Workshop, ITW 2014
SP - 282
EP - 286
BT - 2014 IEEE Information Theory Workshop, ITW 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Information Theory Workshop, ITW 2014
Y2 - 2 November 2014 through 5 November 2014
ER -