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It has been shown in [25] that by solving the constraints (7) and (8), the following inequality must be satisfied if there exists a feasible power assignment that meets the QoS requirements: (13).
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Using convex relaxation and optimization methods, outer-bounds of the consistent parameters or states can be determined by solving the constraint satisfaction problem.
This is because our resolution algorithm retains additional slack at both the coordinator node and monitoring nodes and reduces vast communication cost by solving the violated constraints detected at monitoring nodes successfully.
To reduce idling time at signalized intersection, an intersection passing decision is presented with model prediction to forecast the arrival time with downstream queue discharge time under consideration, and an eco-driving model with speed reduction strategy is proposed by solving the combined constraints of the signal phase and timing (SPaT) and the vehicle status.
γ is a Lagrange multiplier and can be found by solving the normalization constraint ∑ b π b =1.
It is possible to obtain the minimum transmit power of both CUEs and DUEs by strictly binding and solving the constraints in Equation 15.
Moreover, by solving the inequality above, the constraint on the threshold can be derived γ ≤ σ 0 2 + σ x 2 ln Δ C PK Δ C PKϕ.
The watermarked signal was obtained in closed form, which was derived by solving the minimization problem with the constraints on watermark decoding and detection.
We present a new series of distributed constraint satisfaction algorithms, the distributed breakout algorithms, which is inspired by local search algorithms for solving the constraint satisfaction problem (CSP).
The first set of ARG is found by solving the MILP with the same constraints as given in Eq. 2, but considering only the IRGs where binary variables have been associated for each group (step 1).
The unknown parameter of time domain data signal (hat {x}(m,n)) which corresponds to the transmitted time domain data given in (1) can be estimated by solving the following ML equation under the constraint for minimizing the difference between the actual received signal y D (m,n 2) in (12) and the expected received signal (hat {y}_{D}(m,n_{2})) in (15).
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