Convergence of Energy, Communication and Computation in B5G Cellular Internet of Things by Xiaoming Chen & Qiao Qi

Author:Xiaoming Chen & Qiao Qi
Language: eng
Format: epub
ISBN: 9789811541407
Publisher: Springer Singapore

(2.93a)

(2.93b)

(2.93c)

where , , and . and are slack variables. It is found that although the transformed EH constraint (2.93) has been convex, the objective function (2.86a) is still non-convex due to coupled multiple variables. Note that in the case of full CSI at the BS, the received SINR and the MMSE between the transmit and receive signals have the equivalent relationship as ([10], Lemma 1). In other words, maximizing the achievable rate at UE is equivalent to minimizing . However, the BS can only obtain partial CSI in the practical B5G cellular IoT, which further increases the difficulty in dealing with the objective function. To tackle this issue, we propose the following theorem.

Theorem 2.2

According to the relationship between average rate and mean squared error (MSE), the original objective function (2.86a) can be approximated as

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