Energy efficiency and resource allocation of massive MIMO systems based on MMSE precoding

Ruiqiang Dong; Chengyin Ye

doi:10.1117/12.2671689

21 March 2023 Energy efficiency and resource allocation of massive MIMO systems based on MMSE precoding

Ruiqiang Dong, Chengyin Ye

Proceedings Volume 12609, International Conference on Computer Application and Information Security (ICCAIS 2022); 1260912 (2023) https://doi.org/10.1117/12.2671689
Event: International Conference on Computer Application and Information Security (ICCAIS 2022), 2022, ONLINE, ONLINE

Abstract

For downlink multi-cell massive multiple-input multiple-output (MIMO) system. An optimization algorithm for alternate iterations of energy efficiency (EE) is proposed. The system adopts minimum mean square error (MMSE) precoding. Average transmit power of the base station (BS) can be obtained according to the maximum outage probability allowed by the system and the minimum rate requirement of the user equipment (UE). An EE optimization model is established according to the average transmit power. Considering UEs and user data rate as constants to solve the optimal solution of the BS antennas. Then use the alternate iterative optimization algorithm until the EE reaches the optimum. Results illustrate that the proposed algorithm can obtain better EE performance with fewer antennas.

Citation Download Citation

Ruiqiang Dong and Chengyin Ye "Energy efficiency and resource allocation of massive MIMO systems based on MMSE precoding", Proc. SPIE 12609, International Conference on Computer Application and Information Security (ICCAIS 2022), 1260912 (21 March 2023); https://doi.org/10.1117/12.2671689

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