Inter-Network Interference in Synchronized Cooperative Broadcast Systems

Sterner, Ulf; Linder, Sara; Nilsson, Josef; Fors, Karina

doi:10.1109/milcom.2018.8599796

Cited by 5 publications

(1 citation statement)

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“…The limitations of conventional technology make it difficult to achieve further ascension of network capacity and spectrum or energy efficiency. An analysis of the effects of co-channel interference in frequency-hopping ad hoc inter-networks employing synchronized cooperative broadcast demonstrated that co-channel interference in such networks significantly degraded network throughput [13]. A low-complexity spectrum allocation scheme was proposed for constraining co-channel interference in a cognitive radio network, and the approach simultaneously achieved efficient power control and network throughput [14].…”

Section: Introductionmentioning

confidence: 99%

Optimization Methods for Power Allocation and Interference Coordination Simultaneously with MIMO and Full Duplex for Multi-Robot Networks

2021

KSII TIIS

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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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Section: Introductionmentioning

confidence: 99%