Power Allocation in Massive MIMO‐HWSN Based on the Water‐Filling Algorithm | Zendy

Zhe Li | Zendy; Sahil Verma | Zendy; Machao Jin | Zendy

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Power Allocation in Massive MIMO‐HWSN Based on the Water‐Filling Algorithm

Author(s) -

Zhe Li,

Sahil Verma,

Machao Jin

Publication year - 2021

Publication title -

wireless communications and mobile computing

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.42

H-Index - 64

eISSN - 1530-8677

pISSN - 1530-8669

DOI - 10.1155/2021/8719066

Subject(s) - computer science , power (physics) , mimo , algorithm , mathematical optimization , telecommunications , mathematics , channel (broadcasting) , physics , quantum mechanics

Pilot power allocation for Internet of Things (IoT) devices in massive multi-input multioutput heterogeneous wireless sensor networks (MIMO-HWSN) is studied in this paper. The interference caused by fractional pilot reusing in adjacent cells had a negative effect on the MIMO-HWSN system performance. Reasonable power allocation for users can effectively weaken the interference. Motivated by the water-filling algorithm, we proposed a suboptimal pilot transmission power method to improve the system capacity. Simulation results show that the proposed method can significantly improve the uplink capacity of the system and explain the influence of different pilot transmission power on the performance of the system, but the complexity of the system almost does not increase.

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