TY - JOUR
T1 - Power Allocation and Co-Design of Multicarrier Communication and Radar Systems for Spectral Coexistence
AU - Wang, Fangzhou
AU - Li, Hongbin
AU - Govoni, Mark A.
N1 - Publisher Copyright:
© 1991-2012 IEEE.
PY - 2019/7/15
Y1 - 2019/7/15
N2 - This paper explores multicarrier waveforms to improve the spectrum efficiency of radar and communication systems that cooperatively coexist in the same bandwidth. We propose two joint design paradigms based on sharing and allocation, respectively. The allocation-based design brings in the advantage of interference avoidance and easy implementation, while the sharing-based joint design offers additional gain in spectrum efficiency. For both design paradigms, the communication throughput is maximized under a minimum signal-to-interference-plus-noise ratio (SINR) constraint for the radar along with power constraints. The sharing-based design involves non-convex optimization, which is solved via an alternating direction sequential convex programming (AD-SCP) approach. Meanwhile, the allocation-based design is a mixed integer nonlinear optimization problem, which is solved by the optimum but computationally prohibitive branch and bound algorithm, as well as a suboptimum penalized SCP method. Numerical results show that the proposed joint design paradigms significantly improve the spectrum efficiency over a conventional greedy search based allocation scheme.
AB - This paper explores multicarrier waveforms to improve the spectrum efficiency of radar and communication systems that cooperatively coexist in the same bandwidth. We propose two joint design paradigms based on sharing and allocation, respectively. The allocation-based design brings in the advantage of interference avoidance and easy implementation, while the sharing-based joint design offers additional gain in spectrum efficiency. For both design paradigms, the communication throughput is maximized under a minimum signal-to-interference-plus-noise ratio (SINR) constraint for the radar along with power constraints. The sharing-based design involves non-convex optimization, which is solved via an alternating direction sequential convex programming (AD-SCP) approach. Meanwhile, the allocation-based design is a mixed integer nonlinear optimization problem, which is solved by the optimum but computationally prohibitive branch and bound algorithm, as well as a suboptimum penalized SCP method. Numerical results show that the proposed joint design paradigms significantly improve the spectrum efficiency over a conventional greedy search based allocation scheme.
KW - Spectral coexistence
KW - joint resource allocation
KW - multicarrier systems
KW - non-convex optimization
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U2 - 10.1109/TSP.2019.2920598
DO - 10.1109/TSP.2019.2920598
M3 - Article
AN - SCOPUS:85067862566
SN - 1053-587X
VL - 67
SP - 3818
EP - 3831
JO - IEEE Transactions on Signal Processing
JF - IEEE Transactions on Signal Processing
IS - 14
M1 - 8728046
ER -