Time complexity of convex quadratic programming when the number of constraints is much greater than the number of variables

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I have a problem with the format: $$ \text{minimize } x^TPx+c^Tx \\ \text{subject to } Gx\leq b $$ where P is a positive definite matrix. In my case, $G$ is a $m\times n$ matrix and $m$ is much greater than $n$, which means the number of constraints is much greater than the number of variables. According to the literature I have found, time complexity relates to the number of variables, but I think it is not the case in my problem.

My question is: how to analyze the time complexity of this problem. I will appreciate it if you can recommend some related references. Thank you.