TY - GEN
T1 - Algorithms for improper single-stream MIMO interference networks
AU - Schmidt, David A.
AU - Utschick, Wolfgang
PY - 2011
Y1 - 2011
N2 - The max-SINR algorithm and a number of related algorithms have been shown to be very useful for determining good strategies in MIMO interference networks and achieving spatial interference alignment at high SNR. These algorithms, however, rely on being initialized with a proper configuration of streams per user, as they do not have the capability of reducing a user's power or deactivating users completely. Alternatively, algorithms for MIMO interference networks can be designed to perform power control, so that interference alignment can be achieved even from an improper initialization. In this paper, we examine one particularly promising such design. We discuss in detail an update procedure based on maximizing the own rate minus a linearized cost of causing interference to other users, a technique known as interference pricing for simplicity, we restrict our attention to the case of one stream per user. As previously proposed, we combine the pricing updates with a gradual increase of the transmit power or SNR, which greatly improves the numerical properties. We show with numerical experiments that in an improper system our proposed pricing algorithm with incremental SNR achieves better performance than other algorithms with power control; the fixed-power algorithms, such as the max-SINR algorithm, perform poorly at high SNR.
AB - The max-SINR algorithm and a number of related algorithms have been shown to be very useful for determining good strategies in MIMO interference networks and achieving spatial interference alignment at high SNR. These algorithms, however, rely on being initialized with a proper configuration of streams per user, as they do not have the capability of reducing a user's power or deactivating users completely. Alternatively, algorithms for MIMO interference networks can be designed to perform power control, so that interference alignment can be achieved even from an improper initialization. In this paper, we examine one particularly promising such design. We discuss in detail an update procedure based on maximizing the own rate minus a linearized cost of causing interference to other users, a technique known as interference pricing for simplicity, we restrict our attention to the case of one stream per user. As previously proposed, we combine the pricing updates with a gradual increase of the transmit power or SNR, which greatly improves the numerical properties. We show with numerical experiments that in an improper system our proposed pricing algorithm with incremental SNR achieves better performance than other algorithms with power control; the fixed-power algorithms, such as the max-SINR algorithm, perform poorly at high SNR.
UR - http://www.scopus.com/inward/record.url?scp=84857487766&partnerID=8YFLogxK
U2 - 10.1109/ISWCS.2011.6125349
DO - 10.1109/ISWCS.2011.6125349
M3 - Conference contribution
AN - SCOPUS:84857487766
SN - 9781612844022
T3 - Proceedings of the International Symposium on Wireless Communication Systems
SP - 251
EP - 255
BT - ISWCS'11 - 2011 8th International Symposium on Wireless Communication Systems, Proceedings
PB - VDE VERLAG GMBH
T2 - 2011 8th International Symposium on Wireless Communication Systems, ISWCS'11
Y2 - 6 November 2011 through 9 November 2011
ER -