Title :
Opportunistic beamforming using dumb antennas
Author :
Viswanath, Pramod ; Tse, David N C ; Laroia, Rajiv
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
fDate :
6/1/2002 12:00:00 AM
Abstract :
Multiuser diversity is a form of diversity inherent in a wireless network, provided by independent time-varying channels across the different users. The diversity benefit is exploited by tracking the channel fluctuations of the users and scheduling transmissions to users when their instantaneous channel quality is near the peak. The diversity gain increases with the dynamic range of the fluctuations and is thus limited in environments with little scattering and/or slow fading. In such environments, we propose the use of multiple transmit antennas to induce large and fast channel fluctuations so that multiuser diversity can still be exploited. The scheme can be interpreted as opportunistic beamforming and we show that true beamforming gains can be achieved when there are sufficient users, even though very limited channel feedback is needed. Furthermore, in a cellular system, the scheme plays an additional role of opportunistic nulling of the interference created on users of adjacent cells. We discuss the design implications of implementing. this scheme in a complete wireless system
Keywords :
array signal processing; cellular radio; diversity reception; fading channels; interference suppression; multiuser channels; time-varying channels; transmitting antennas; Rayleigh fading; Rician fading; adjacent cell interference; cellular radio system; diversity gain; dumb antennas; fair scheduling; fast channel fluctuations; fast fading; instantaneous channel quality; interference nulling; multiple transmit antennas; multiuser diversity; opportunistic beamforming; opportunistic nulling; slow fading; time-varying channels; wireless network; Array signal processing; Diversity methods; Dynamic range; Fading; Feedback; Fluctuations; Scattering; Time-varying channels; Transmitting antennas; Wireless networks;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2002.1003822