Computer Science – Information Theory
Scientific paper
2010-11-17
Computer Science
Information Theory
This paper will appear in IEEE GLOBECOM 2010
Scientific paper
This paper focuses on two-cell multiple-input multiple-output (MIMO) Gaussian interfering broadcast channels (MIMO-IFBC) with $K$ cooperating users on the cell-boundary of each BS. It corresponds to a downlink scenario for cellular networks with two base stations (BSs), and $K$ users equipped with Wi-Fi interfaces enabling to cooperate among users on a peer-to-peer basis. In this scenario, we propose a novel interference alignment (IA) technique exploiting user cooperation. Our proposed algorithm obtains the achievable degrees of freedom (DoF) of 2K when each BS and user have $M=K+1$ transmit antennas and $N=K$ receive antennas, respectively. Furthermore, the algorithm requires only a small amount of channel feedback information with the aid of the user cooperation channels. The simulations demonstrate that not only are the analytical results valid, but the achievable DoF of our proposed algorithm also outperforms those of conventional techniques.
Jang Kyunghun
Lee Namyoon
Lim Jong-Bu
Shin Changyong
Shin Wonjae
No associations
LandOfFree
Interference Alignment Through User Cooperation for Two-cell MIMO Interfering Broadcast Channels 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 Interference Alignment Through User Cooperation for Two-cell MIMO Interfering Broadcast Channels, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Interference Alignment Through User Cooperation for Two-cell MIMO Interfering Broadcast Channels will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-110640