TY - GEN
T1 - Interference due to null space mismatch in cooperative multipoint MIMO cellular networks
AU - Manolakos, Alexandros
AU - Noam, Yair
AU - Goldsmith, Andrea J.
PY - 2014
Y1 - 2014
N2 - Cooperative Multi-Point (CoMP) has emerged as a new paradigm to improve both average cell and cell edge throughput in cellular networks. However, the performance is significantly degraded due to Out-of-Group Interference (OGI). One way to mitigate OGI is to restrict the interfering signal to lie inside the null space of the unintended receiver. Yet, accurately tracking this null space is a challenge in time-varying channels. In this work, we address the effect of null space variations on the OGI mitigation. A measure for accuracy of null space estimates is proposed and bounds are derived on the residual average worst-case interference. We define the Null Space Update Rate as the inverse of the Null Space Coherence Time; i.e., the time it takes a null space estimate to become outdated relative to an interference threshold on the unintended receiver. In the case of Rayleigh fading channels, we derive a bound on the Null Space Coherence Time in closed form, and compare the performance of a given null space tracking algorithm against this bound. Both Monte Carlo simulations and the analytical bounds show that the worst-case interference levels are sensitive to null space variations, independent of the null space learning algorithm employed.
AB - Cooperative Multi-Point (CoMP) has emerged as a new paradigm to improve both average cell and cell edge throughput in cellular networks. However, the performance is significantly degraded due to Out-of-Group Interference (OGI). One way to mitigate OGI is to restrict the interfering signal to lie inside the null space of the unintended receiver. Yet, accurately tracking this null space is a challenge in time-varying channels. In this work, we address the effect of null space variations on the OGI mitigation. A measure for accuracy of null space estimates is proposed and bounds are derived on the residual average worst-case interference. We define the Null Space Update Rate as the inverse of the Null Space Coherence Time; i.e., the time it takes a null space estimate to become outdated relative to an interference threshold on the unintended receiver. In the case of Rayleigh fading channels, we derive a bound on the Null Space Coherence Time in closed form, and compare the performance of a given null space tracking algorithm against this bound. Both Monte Carlo simulations and the analytical bounds show that the worst-case interference levels are sensitive to null space variations, independent of the null space learning algorithm employed.
KW - Cooperative Multi-point communications
KW - MIMO
KW - Null Space Coherence Time
KW - Null Space Mismatch
KW - Out of Group interference mitigation
UR - http://www.scopus.com/inward/record.url?scp=84906996425&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84906996425&partnerID=8YFLogxK
U2 - 10.1109/ICC.2014.6884138
DO - 10.1109/ICC.2014.6884138
M3 - Conference contribution
AN - SCOPUS:84906996425
SN - 9781479920037
T3 - 2014 IEEE International Conference on Communications, ICC 2014
SP - 5148
EP - 5153
BT - 2014 IEEE International Conference on Communications, ICC 2014
PB - IEEE Computer Society
T2 - 2014 1st IEEE International Conference on Communications, ICC 2014
Y2 - 10 June 2014 through 14 June 2014
ER -