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The state-dependent models with channel state available at the encoders can also be used to model communication systems with cognitive radios.
The I/ Qcorrupted signal models with channel estimation errors can be constructed based on (2) for the three cases considered.
The error rate performance simulations (Figures6,7,8, and9) focus on joint channel estimation and separate equalization which is discussed in Section 'Signal models with channel estimation errors'.
These expressions lead to evaluate the average SER for all three cases, with the corresponding intermediate variables derived in Section 'Signal models with channel estimation errors'.
Figure4 shows the theoretical and simulation results for the three cases of channel estimation and equalization discussed in Section 'Signal models with channel estimation errors'.
Similar to the single-user additive Gaussian models with channel state, DPC at both the encoders achieves (3) and explicit state cancellation is not optimal in terms of the capacity region.
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Section 2 presents the system model with channel model and interference model.
Sharma and Purohit (2011) proposed two queueing models (1) priority handoff queueing model with reserve channels and (2) handoff queueing model with channel subrating for wireless cellular network.
The model defined in (27) is a typical MIMO single user model with channel matrix H ~ k and precoding matrix C k.
where h l [ k] is the l th channel coefficient of the equivalent discrete-time channel model with channel memory length L and n[ k] is a zero mean Gaussian noise sample.
where h l [k] is the l th channel coefficient of the equivalent discrete-time channel model with effective channel memory length L, and n[k] is a Gaussian noise sample with zero mean and variance σ n 2. The noise process is assumed to be white.
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