TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Optimization Methods for Power Allocation and Interference Coordination Simultaneously with MIMO and Full Duplex for Multi-Robot Networks |
| 영문제목(English Title) |
Optimization Methods for Power Allocation and Interference Coordination Simultaneously with MIMO and Full Duplex for Multi-Robot Networks |
| 저자(Author) |
Zulfiqar A. Arain
Xuesong Qiu
Lujie Zhong
Mu Wang
Xingyan Chen
Yongping Xiong
Kiran Nahida
Changqiao Xu
Guisheng Wang
Yequn Wang
Shufu Dong
Guoce Huang
Qilu Sun
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| 원문수록처(Citation) |
VOL 15 NO. 01 PP. 0216 ~ 0239 (2021. 01) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
The present work addresses the challenging problem of coordinating power allocation with interference management in multi-robot networks by applying the promising expansion capabilities of multiple-input multiple-output (MIMO) and full duplex systems, which achieves it for maximizing the throughput of networks under the impacts of Doppler frequency shifts and external jamming. The proposed power allocation with interference coordination formulation accounts for three types of the interference, including cross-tier, co-tier, and mixed-tier interference signals with cluster head nodes operating in different full-duplex modes, and their signal-to-noise-ratios are respectively derived under the impacts of Doppler frequency shifts and external jamming. In addition, various optimization algorithms, including two centralized iterative optimization algorithms and three decentralized optimization algorithms, are applied for solving the complex and non-convex combinatorial optimization problem associated with the power allocation and interference coordination. Simulation results demonstrate that the overall network throughput increases gradually to some degree with increasing numbers of MIMO antennas. In addition, increasing the number of clusters to a certain extent increases the overall network throughput, although internal interference becomes a severe problem for further increases in the number of clusters. Accordingly, applications of multi-robot networks require that a balance should be preserved between robot deployment density and communication capacity.
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| 키워드(Keyword) |
Multipath Transmission
Energy Efficiency
Stochastic Optimization
Multiple-input
Multiple-Output
Full Duplex
Interference Coordination
Power Allocation
Iterative Optimization
Multi-Robot Networks
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