A very useful paradigm to design robust detectors is the maxmin approach, which maximizes the worst case detection performance.
Hence we then investigate the multipath routing solution maximizing the worst-case packet delivery ratio.
In Table 1, we summarize our proposed algorithm for maximizing the worst-case secrecy rate.
The cost function is established by maximizing the worst-case output SINR and an iterative procedure is presented based on modified sequential quadratic programming.
In [14], using the imperfect clutter prior knowledge, the robust waveform design has been addressed for maximizing the worst-case SINR.
As a natural extension, to achieve a tradeoff between the routing security and performance, we derive the multipath routing protocol maximizing the worst-case packet delivery ratio while limiting the worst-case security risk under given threshold.
An optimization problem with the objective function of maximizing the worst-case WSR under the per-antenna power constraints can be formulated as: begin{aligned} max_{boldsymbol{W}} ~~~&textstyle sum_{k=1}^{K} mu_{k} log_{2}left(1+ widetilde{text{SINR}}_{k}(boldsymbol{W} right) text{s.
Problem 2. Optimal gateway placement for maximizing the worst-case per-client throughput in the WMN, that is, in the above WMN model, given,,,, and specific clients' distribution, routers' distribution, transmission, and scheduling and routing protocols, gateways are chosen among mesh routers such that (2). is maximized.
A novel diagonal loading-based method is proposed to optimize the waveform covariance matrix for maximizing the worst-case output signal-interference-noise ratio (SINR) over the convex uncertainty set such that the worst-case detection performance of MIMO STAP can be maximized.
For the case of deterministically bounded error model, we maximize the worst-case secrecy rate.
