Computer Science – Information Theory
Scientific paper
2010-03-19
Computer Science
Information Theory
Submitted to IEEE Transactions on Communications
Scientific paper
We develop an interference alignment (IA) technique for a downlink cellular system. In the uplink, IA schemes need channel-state-information exchange across base-stations of different cells, but our downlink IA technique requires feedback only within a cell. As a result, the proposed scheme can be implemented with a few changes to an existing cellular system where the feedback mechanism (within a cell) is already being considered for supporting multi-user MIMO. Not only is our proposed scheme implementable with little effort, it can in fact provide substantial gain especially when interference from a dominant interferer is significantly stronger than the remaining interference: it is shown that in the two-isolated cell layout, our scheme provides four-fold gain in throughput performance over a standard multi-user MIMO technique. We show through simulations that our technique provides respectable gain under a more realistic scenario: it gives approximately 20% gain for a 19 hexagonal wrap-around-cell layout. Furthermore, we show that our scheme has the potential to provide substantial gain for macro-pico cellular networks where pico-users can be significantly interfered with by the nearby macro-BS.
Ho Minnie
Suh Changho
Tse David
No associations
LandOfFree
Downlink Interference Alignment does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Downlink Interference Alignment, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Downlink Interference Alignment will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-353907