There is a need to broadcast identical information to multiple users in a network. Examples include sending a beacon signal from an UAV to multiple sensors in a surveillance region and, in the context of ad hoc networks, multicasting. This paper studies the information theoretic aspects of multiple-input multiple-output (MIMO) beaconing where multiple antenna elements are available at the transmitter. A MAXMIN formulation is proposed to exploit the channel state information assumed to be available at the transmitter. A solution which applies linear programming is presented, along with numerical examples demonstrating the performance gain over the channel blind transmission scheme.
[1]
Max H. M. Costa,et al.
Writing on dirty paper
,
1983,
IEEE Trans. Inf. Theory.
[2]
Emre Telatar,et al.
Capacity of Multi-antenna Gaussian Channels
,
1999,
Eur. Trans. Telecommun..
[3]
Shlomo Shamai,et al.
On the achievable throughput of a multiantenna Gaussian broadcast channel
,
2003,
IEEE Transactions on Information Theory.
[4]
Abbas El Gamal,et al.
The capacity of a class of broadcast channels
,
1979,
IEEE Trans. Inf. Theory.
[5]
M. J. Gans,et al.
On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas
,
1998,
Wirel. Pers. Commun..