TY - GEN
T1 - Interference alignment in the 2 x (1 + N) MIMO model
AU - Yamada, Mitsuki
AU - Ohtsuki, Tomoaki
PY - 2010
Y1 - 2010
N2 - In modern cellular systems, base station cooperation multiple-input multiple-output (MIMO) in which multiple base stations transmit desired signals to one user is anticipated to alleviate interference at the cell-edge. Cell-edge user is influenced a great deal by interference between different base stations. Inter-cell interference degrades system performance substantially. An interference alignment (IA) scheme was proposed recently to eliminate inter-cell interference. It aligns interference into a smaller-dimensional subspace to eliminate interference. In this paper, we clarify how to apply IA to the 2 base stations (BSs) x (1 + N) mobile stations (MSs), 2 ≤ N < ∞, MIMO model, where one MS, referred to as Cooperated Mobile Station (CMS), is transmitted with two BSs simultaneously, and others, referred to as non cooperated mobile stations (NMSs), are transmitted with one BS. We show that IA is effective to reduce interference at CMS, while achieving the higher capacity than the conventional one through computer simulation.
AB - In modern cellular systems, base station cooperation multiple-input multiple-output (MIMO) in which multiple base stations transmit desired signals to one user is anticipated to alleviate interference at the cell-edge. Cell-edge user is influenced a great deal by interference between different base stations. Inter-cell interference degrades system performance substantially. An interference alignment (IA) scheme was proposed recently to eliminate inter-cell interference. It aligns interference into a smaller-dimensional subspace to eliminate interference. In this paper, we clarify how to apply IA to the 2 base stations (BSs) x (1 + N) mobile stations (MSs), 2 ≤ N < ∞, MIMO model, where one MS, referred to as Cooperated Mobile Station (CMS), is transmitted with two BSs simultaneously, and others, referred to as non cooperated mobile stations (NMSs), are transmitted with one BS. We show that IA is effective to reduce interference at CMS, while achieving the higher capacity than the conventional one through computer simulation.
KW - Interference alignment
KW - MIMO
UR - http://www.scopus.com/inward/record.url?scp=79951871668&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79951871668&partnerID=8YFLogxK
U2 - 10.1109/GLOCOMW.2010.5700286
DO - 10.1109/GLOCOMW.2010.5700286
M3 - Conference contribution
AN - SCOPUS:79951871668
SN - 9781424488650
T3 - 2010 IEEE Globecom Workshops, GC'10
SP - 1963
EP - 1967
BT - 2010 IEEE Globecom Workshops, GC'10
PB - IEEE Computer Society
T2 - 2010 IEEE Globecom Workshops, GC 2010
Y2 - 5 December 2010 through 10 December 2010
ER -