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In this study, we modify this approach such that it can handle the average transmit power constraints under which the information theoretic capacity bounds (cut-set bound and achievable DF rate) we are interested in here were derived.
However, most of the research works reported in the literature so far focus only on the capacity bounds and do not provide the theoretical performance bound for symbol error rate (SER).
Then, we will discuss the channel capacity bounds for such systems.
In [22], the capacity bounds have been analyzed in the context of multinode ad hoc networks.
For the binary input case, the normalized sum capacity bounds are plotted in Figure 13.
Furthermore, much work has been spent to determine capacity bounds and rate regions for relay networks.
Similar(24)
The uncertainty in achieving targeted enzyme values suggests that the enzyme levels, and hence the corresponding flux carrying capacities (bounds), could be considered statistical distributions rather than fixed value parameters.
The model holds that controlled information processing is capacity-bound.
For some other noise distributions, the capacity upper bounds are derived in [21, 43].
For less than three-hop wireless channel, various works have been done on the capacity or bounds on the capacity [1,13,20-24].
Regarding the capacity upper bounds in Sections 3.1 3.2 as benchmarks for the performance assessment, we now analyze the capacity achieved by sampling to evaluate the capacity performance loss due to specific post-processing at the receiver.
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