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This approximation is shown to be asymptotically optimal in the sense of maximizing the achievable rate.
Many existing works on throughput-based spectrum sensing focus on maximizing the achievable throughput.
Then, the optimal gain partitioning approach, maximizing the achievable rates, is determined.
By maximizing the achievable rate (12), the joint power allocation problem can be established as (13).
Next, we study and solve the problem of resource allocation aiming at maximizing the achievable sum-rate.
By maximizing the achievable system rate, a constrained optimization problem is first formulated to jointly allocate powers for the source and relay terminals.
Similar(36)
To maximize the achievable sum rate, a rate maximization problem with power constraint can be stated as follows begin{array}{*{20}l} mathop{text{max}} limits_{{p}}&quadquadsum_{k=1}^{K}{r}_{k}left({p}right) end{array} (8a).
Previously, distributed space-time codes were proposed to maximize the achievable diversity-multiplexing tradeoff; however, they fail to achieve all the points of the optimal diversity-multiplexing tradeoff.
No optimization is performed on the transmit powers to maximize the achievable rates.
(2) We identify resource allocation strategies that maximize the achievable rates.
An optimum spatial component interleaver is proposed to maximize the achievable rate.
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