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The primary receiver tolerates a maximum interference threshold given by I th.
In case of EPA, each transmitter has its transmission power constrained to half of the maximum interference threshold I th.
It can be seen that for more than half of the simulated cases, regardless the level of uncertainty, the non-robust solution exceeds the maximum interference threshold.
As expected, the non-robust design can not guarantee the maximum interference threshold even when the CSI uncertainties are relatively small.
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The averaged spectral efficiency depends not only on the channel magnitude, but also the interference threshold, maximum user power limit, as well as the channel magnitude.
The main objective is to maximize f ( R k i e ) while the average delay constraint and QoS constraint for streaming traffic and, the maximum transmission power constraint and interference threshold constraint are satisfied.
In Fig. 7, we present the maximum BER versus the IT level from I p,th=−20 dBm to I p,th=−5 dBm of our proposed algorithm for different (P_{md}^{n}) and show the maximum BER performance against the interference threshold I p,th and the miss-detection probability (P_{md}^{n}) for MPSK (M=2) and MQAM (M=2) modulation.
Note that whatever the position of the relay, the system reaches the same maximum capacity allowed by the power budget for high interference threshold.
Therefore, the capacity increases as the interference threshold increases until it saturates when the power reaches its maximum value.
Specifically, in underlay CRNs, the performance of the secondary (cognitive) users should be maximized while the maximum interference power to the primary users (PUs) should remain below a pre-specified threshold [4].
where γ th is the minimum required transmission SINR of the broadcast message, I th,l is the interference threshold for primary user l, and P th is the maximum transmit power at the cognitive relay.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com