TY - GEN

T1 - Bargaining for Dual Radar and Communication Systems Using Radar-prioritized OFDM Waveforms

AU - Garnaev, Andrey

AU - Trappe, Wade

AU - Petropulu, Athina

N1 - Garnaev A., Trappe W., Petropulu A. (2017) Bargaining in a Dual Radar and Communication System Using Radar-Prioritized OFDM Waveforms. In: Galinina O., Andreev S., Balandin S., Koucheryavy Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. ruSMART 2017, NsCC 2017, NEW2AN 2017. Lecture Notes in Computer Science, vol 10531. Springer, Cham. https://doi.org/10.1007/978-3-319-67380-6_35

PY - 2017

Y1 - 2017

N2 - This paper examines a dual radar/communication system employing OFDM style waveforms with two objectives: a radar task involving target tracking, and a communication task involving communicating with a distant receiver. One challenge with such two objective problems is that the optimal solution for one of objective could be non-optimal for the other. We examine the problem of resolving dual radar/communication objectives and solve the associated two objective problem in two steps: First, for each fixed level of performance for the radar’s objective, the optimal solution is found in a water-filling form which includes the classical OFDM waterfilling solution as a boundary case. The formulation returns a continuum of optimal solutions (a solution per radar performance level). Second, from this continuum of solutions, we find the Nash bargaining solution, which returns the best tradeoff between the two objectives, and an algorithm to find the Nash bargaining solution is presented.

AB - This paper examines a dual radar/communication system employing OFDM style waveforms with two objectives: a radar task involving target tracking, and a communication task involving communicating with a distant receiver. One challenge with such two objective problems is that the optimal solution for one of objective could be non-optimal for the other. We examine the problem of resolving dual radar/communication objectives and solve the associated two objective problem in two steps: First, for each fixed level of performance for the radar’s objective, the optimal solution is found in a water-filling form which includes the classical OFDM waterfilling solution as a boundary case. The formulation returns a continuum of optimal solutions (a solution per radar performance level). Second, from this continuum of solutions, we find the Nash bargaining solution, which returns the best tradeoff between the two objectives, and an algorithm to find the Nash bargaining solution is presented.

KW - Radar

KW - Communication

KW - OFDM

KW - Waveforms

KW - Bargaining

UR - https://link.springer.com/chapter/10.1007/978-3-319-67380-6_35

M3 - Conference contribution

SN - 978-3-319-67379-0

T3 - Lecture Notes in Computer Science

SP - 382

EP - 394

BT - Internet of Things, Smart Spaces, and Next Generation Networks and Systems

PB - Springer Nature

T2 - 17th International Conference on Internet of Things, Smart Spaces, and Next Generation Networks and Systems

Y2 - 28 August 2017 through 30 August 2017

ER -