6533b7d7fe1ef96bd12682fc
RESEARCH PRODUCT
Designing Precoding and Receive Matrices for Interference Alignment in MIMO Interference Channels
Pouya M. GhariSiavash MollaebrahimMuhammad ImranMohammad Sadegh Fazelsubject
Optimization problemRank (linear algebra)Computer scienceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSMIMO020206 networking & telecommunications020302 automobile design & engineering02 engineering and technologyTopologyInterference (wave propagation)PrecodingMultiplexing0203 mechanical engineeringDimension (vector space)Interference (communication)0202 electrical engineering electronic engineering information engineeringInterference alignmentComputer Science::Information TheoryCommunication channeldescription
Interference is a key bottleneck in wireless communication systems. Interference alignment is a management technique that align interference from other transmitters in the least possibly dimension subspace at each receiver and provides the remaining dimensions for free interference signal. An uncoordinated interference is an example of interference which cannot be aligned coordinately with interference from coordinated part; consequently, the performance of interference alignment approaches are degraded. In this paper, we propose a rank minimization method to enhance the performance of interference alignment in the presence of uncoordinated interference sources. Firstly, to obtain higher multiplexing gain, a new rank minimization based optimization problem is proposed; then, a new class of convex relaxation is introduced which can reduce the optimal value of the problem and obtain lower rank solutions by expanding the feasibility set. Simulation results show that our proposed method can obtain considerably higher multiplexing gain and sum rate than other approaches in the interference alignment framework.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-12-01 | GLOBECOM 2017 - 2017 IEEE Global Communications Conference |