TY - JOUR
T1 - Optimal location of transmitters for micro-cellular radio communication system design
AU - Sherali, Hanif D.
AU - Pendyala, Chandra Mohan
AU - Rappaport, Theodore S.
N1 - Funding Information:
The authors would like to thank the Advanced Research Projects Agency, Electronics System Technology Office (ARPA ESTO) for support in conducting this research.
PY - 1996/5
Y1 - 1996/5
N2 - This paper is concerned with the mathematical modeling and analysis of a radio communication system design problem that seeks an optimal location of a single transmitter, or that of multiple transmitters, in order to serve a specified distribution of receivers. The problem is modeled by discretizing the radio coverage region into a grid of receiver locations and by specifying a function that estimates the path-loss or signal attenuation for each receiver location, given a particular location for a transmitter that communicates with it. The resulting model is a nonlinear programming problem having an implicitly defined objective function of minimizing a measure of weighted path-losses. Specializations of three nonlinear optimization algorithms, namely, Hooke and Jeeves' method, quasi-Newton, and conjugate gradient search procedures are investigated for solving this problem. The technique described here is intended to interact with various propagation prediction models and may be used in a CAD system for radio communication system design.
AB - This paper is concerned with the mathematical modeling and analysis of a radio communication system design problem that seeks an optimal location of a single transmitter, or that of multiple transmitters, in order to serve a specified distribution of receivers. The problem is modeled by discretizing the radio coverage region into a grid of receiver locations and by specifying a function that estimates the path-loss or signal attenuation for each receiver location, given a particular location for a transmitter that communicates with it. The resulting model is a nonlinear programming problem having an implicitly defined objective function of minimizing a measure of weighted path-losses. Specializations of three nonlinear optimization algorithms, namely, Hooke and Jeeves' method, quasi-Newton, and conjugate gradient search procedures are investigated for solving this problem. The technique described here is intended to interact with various propagation prediction models and may be used in a CAD system for radio communication system design.
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U2 - 10.1109/49.490417
DO - 10.1109/49.490417
M3 - Article
AN - SCOPUS:0030151209
SN - 0733-8716
VL - 14
SP - 662
EP - 672
JO - IEEE Journal on Selected Areas in Communications
JF - IEEE Journal on Selected Areas in Communications
IS - 4
ER -