Title :
Impact of clustering in statistical indoor propagation models on link capacity
Author :
Kuo-Hui Li ; Ingram, M.A. ; Van Nguyen, A.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fDate :
4/1/2002 12:00:00 AM
Abstract :
Explicit clustering in a statistical indoor propagation model is found to have significant effects on the capacity of an array-to-array link or matrix channel. Effects of antenna spacing, Poisson homogeneity, block size, and transmit power allocation strategies are also considered.
Keywords :
adaptive antenna arrays; channel capacity; indoor radio; radio links; radiowave propagation; statistical analysis; MIMO; Poisson homogeneity; antenna spacing; array-to-array link capacity; block size; clustering; matrix channel capacity; mobile communications; smart antennas; statistical indoor propagation models; transmit power allocation; Antenna measurements; Antennas and propagation; Delay effects; MIMO; Mobile communication; Power system modeling; Propagation delay; Solid modeling; Transmitters; Transmitting antennas;
Journal_Title :
Communications, IEEE Transactions on