TY - GEN
T1 - A Model for Coherent Communication Gain in Distributed Wireless Networks
AU - Lipski, Michael V.
AU - Kompella, Sastry
AU - Narayanan, Ram M.
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In this paper, generalized expressions for system gain in a coherent communication system are developed. In an ad hoc or distributed network, the transmit and receive operations can be coordinated at the RF level to produce an array gain, similar to a fixed antenna array; such formations are known as coherent distributed arrays. The system examined in this paper consists of two open-loop coherent distributed arrays: one transmitter array and one receiver array. The gain of the entire system containing both arrays is described by the coherent communication gain. The concept of group array factor, which is the multi-receiver extension of array factor, is also introduced. Group array factor allows for a characterization of gain independent from propagation model and properties of the individual transmitters and receivers. The univariate optimization problem of maximizing group array factor as a function of transmitter array beam angle in the azimuth plane is described, and a practical bounding on the search space is introduced. The physical dimensions of the communication system are analyzed in terms of their influence on the objective function, and a condition for guaranteeing convexity of the bounded objective function is given. An example transmitter array-receiver array system is introduced and used to showcase the concepts herein.
AB - In this paper, generalized expressions for system gain in a coherent communication system are developed. In an ad hoc or distributed network, the transmit and receive operations can be coordinated at the RF level to produce an array gain, similar to a fixed antenna array; such formations are known as coherent distributed arrays. The system examined in this paper consists of two open-loop coherent distributed arrays: one transmitter array and one receiver array. The gain of the entire system containing both arrays is described by the coherent communication gain. The concept of group array factor, which is the multi-receiver extension of array factor, is also introduced. Group array factor allows for a characterization of gain independent from propagation model and properties of the individual transmitters and receivers. The univariate optimization problem of maximizing group array factor as a function of transmitter array beam angle in the azimuth plane is described, and a practical bounding on the search space is introduced. The physical dimensions of the communication system are analyzed in terms of their influence on the objective function, and a condition for guaranteeing convexity of the bounded objective function is given. An example transmitter array-receiver array system is introduced and used to showcase the concepts herein.
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U2 - 10.1109/MASS52906.2021.00036
DO - 10.1109/MASS52906.2021.00036
M3 - Conference contribution
AN - SCOPUS:85123924472
T3 - Proceedings - 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2021
SP - 207
EP - 215
BT - Proceedings - 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 18th IEEE International Conference on Mobile Ad Hoc and Smart Systems, MASS 2021
Y2 - 4 October 2021 through 7 October 2021
ER -