Joint Sum Rate and Error Probability Optimization of Power Line Communication in Finite Blocklength Regime

PLC provides an effective solution for mass data transmission in the Power IoT. However, the application of power line communication in the Power IoT still faces the tradeoff problem of differential performance indicators. Our objective is to maximize the sum rate of all users while minimize the maximum decoding error probability by jiontly optimizing the precoding vector and decoding error probability. We first use the weighted sum method to transform the problem into a single objective form.Then, we propose a SCA-based method to solve the problem. The results reveal that compared with the benchmark method, the proposed method provides a significant SNR gain in PLC channel.The results show that the sum rate is increased by 51.7% compared with ZF method and 148.9% compared with MRT method when SNR is 40dB, and the maximum error probability is reduced to 11.6% of MRT method when SNR is 10dB.