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We consider an overloaded scenario.
The WSR of MU LP deteriorates in such overloaded scenario.
In the extremely overloaded scenario, the WSR gap between RS and SC SIC is still large.
We further consider an extremely overloaded scenario subject to QoS constraints.
In an overloaded scenario, the offered load by the APP layer exceeds the capacity of the wireless link.
In Figure 4 we provide the BER performance recorded in the overloaded scenario, where transmit antennas and receiver antennas were employed.
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As in overloaded scenarios some transmissions cannot be completed in limited time, transmissions are dropped when their utility falls below a threshold of Udrop=0.
In overloaded scenarios, to guarantee some QoS, we add individual rate constraints to users as the system has otherwise a tendency to turn off some users.
In overloaded scenarios, the weight matrix calculated by the MMSE algorithm becomes a singular matrix, which will lead to a theoretically unresolvable detection problem.
Since the necessary corrective actions are not taken, before operating the next round of OPF, the physical system may experience the following two kinds of situations: Scenario 1: the overloaded transmission lines can survive for a period of time until the next round of OPF; Scenario 2: the overloaded transmission lines cannot survive for a period of time until next round of OPF.
It is worthy to mention that for the performance evaluation in Fig. 5, we have considered a spectrum sharing scenario where all the operators are overloaded and (phantom {dot {i}!}rho _{1}=rho _{2}=rhots =rho _{N_{text {op}}}).
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