An Efficient Power Allocation Algorithm for Improved System Performance in MIMO Two-Relay Wireless IoT Networks: A Heuristic Approach

In this paper, we propose an efficient algorithm to solve the energy allocation problem for the MIMO two-relay system, we exploit the advantages of energy distribution over space and the advantages of scattering to solve this problem and to maximize the data rate over parallel channels for MIMO two-...

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Bibliographic Details
Published in2021 8th International Conference on Internet of Things: Systems, Management and Security (IOTSMS) pp. 1 - 5
Main Authors Harb, Bassam, Shakhatreh, Hazim, Salameh, Haythem Bany
Format Conference Proceeding
LanguageEnglish
Published IEEE 06.12.2021
Subjects
Energy Allocation Problem
Heuristic algorithms
IoT
MIMO
Relay Node
Resource management
Scattering
System performance
Transmitters
Water-filling Algorithm
Wireless LAN
Wireless networks
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Summary:In this paper, we propose an efficient algorithm to solve the energy allocation problem for the MIMO two-relay system, we exploit the advantages of energy distribution over space and the advantages of scattering to solve this problem and to maximize the data rate over parallel channels for MIMO two-relay system. Our proposed technique can be used to improve the performance of existing wireless networks and systems that use relays. When using a point to point connection, the water-filling algorithm was previously employed for parallel independent channels. Because the gains of channels are possible to be ordered just in one dimension, this approach clearly ends with the most efficient solution. The water-filling algorithm does not work in the MIMO two-relay system because the gains of channels correspond to separate paths. The performance of our proposed protocol is evaluated through simulations. Compared to the uniform energy allocation MIMO two-relay-based algorithms and MIMO single-relay algorithms, the results reveal that our proposed algorithm significantly improves system performance.
DOI:10.1109/IOTSMS53705.2021.9705009