Thursday, 14:15 - 14:40 h, Room: H 3002

 

Cong Sun
Low complexity interference alignment algorithms for desired signal power maximization problem of MIMO channels

 

Abstract:
The Interference alignment technique is newly brought into wireless
communication to improve the communication capacity. For a K-user MIMO
interference channel,
we propose a low complexity interference alignment algorithm to solve
the desired signal power maximization problem, which is a nonconvex
complex matrix optimization problem.
First we use a courant penalty function technique to combine the
objective function as desired signal power with the interference
constraint, leaving only the orthogonal constraints. By introducing the
Householder transformation, the matrix problem turns into vector
optimization problem. Applying the alternating direction method and the
two-dimensional subspace method, the computational complexity of the
algorithm is greatly reduced. To overcome the disadvantage of this
algorithm to converge slowly around the local optimal solution, it is
combined with a higher complexity algorithm which helps to perfectly
eliminate interference and satisfy the original constraints. Simulations
show that compared to the existed algorithms, the hybrid algorithm needs
less computing time and achieves good performance.

 

Talk 3 of the invited session Thu.2.H 3002
"Network clustering" [...]
Cluster 23
"Telecommunications & networks" [...]

 

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