Derivation of Probability Density Function of Signal-to-Interference-Plus-Noise Ratio for the MS-to-MS Interference Analysis [PDF]
This paper provides an analytical derivation of the probability density function of signal-to-interference-plus-noise ratio in the scenario where mobile stations interfere with each other.
Ho-Kyung Son, Che-Young Kim
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Signal-to-Interference-Plus-Noise Ratio Based Optimization for Sound Zone Control
Sound zone control is posed as an optimization problem where finite impulse response control filters are jointly optimized for low transmit power, while maintaining a sufficiently high signal-to-interference-plus-noise ratio (SINR) in all zones.
Jesper Brunnstrom +2 more
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Evaluation of outage probability for uniformly distributed users based on signal‐to‐interference‐plus‐noise ratio [PDF]
Improving the performance of wireless networks to maintain good quality of service for all users is always an ultimate goal. To reach this goal, the performance should be evaluated accurately and then analysed. Geometric modelling of wireless networks is drawing significant attention with regard to analytically evaluating the performance. In this study,
Sami Baroudi, Yousef R. Shayan
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Base station beamforming technique using multiple signal‐to‐interference plus noise ratio balancing criteria [PDF]
The authors propose a coordinated multi‐cell beamforming technique for signal‐to‐interference plus noise ratio (SINR) balancing under multiple base station power constraints. Instead of balancing SINR of all users in all cells to the same level, the authors’ propose a new approach to balance SINR of users in various cells to different maximum possible ...
Georgia Bournaka +4 more
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Cross-layer optimization technology for wireless network multimedia video [PDF]
With the development of communication technology, wireless Internet has become more and more popular. The traditional network layered protocols cannot meet the increasingly rich network services, especially video.
W. Xia
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Sparse array design for maximizing the signal-to-interference-plus-noise-ratio by matrix completion [PDF]
We consider sparse array beamfomer design achieving maximum signal-to interference plus noise ratio (MaxSINR). Both array configuration and weights are attuned to the changing sensing environment. This is accomplished by simultaneously switching among antenna positions and adjusting the corresponding weights.
Syed A. Hamza, Moeness G. Amin
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In this paper, we propose a deep learning approach for solving power allocation problems in massive MIMO networks. We use signal-to-interference-plus-noise-ratio (SINR) and signal-to-leak-plus-noise ratio (SLNR) criteria for linear precoder design to ...
Ridho Hendra Yoga Perdana +2 more
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Non orthogonal multiple access with wind energy harvesting
In this paper, we derive the performance of wireless communications using wind energy harvesting. We study the single-user and multi-user scenarios using Non Orthogonal and Orthogonal Multiple Access (NOMA and OMA).
Raed Alhamad, Hatem Boujemaa
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Cell Partitioning Antenna System Performance in Multi-User Scenarios for mmWave Communications
Fixed-beam, high-gain antenna systems can be used for a finer partitioning of the currently used cell-sectoring. This partitioning has the benefit of reducing the number of users seen per antenna beam, which reduces interference.
Thomas A. H. Bressner +7 more
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A Low-Complexity Deep Neural Network for Signal-to-Interference-Plus-Noise Ratio Estimation
Mobile network technology has been driven by a huge demand for throughput and reliability to support new emerging services. The quality of service is based on measurements of indicators with a high level of precision. Accurate controlling of parameters to fulfil the quality requirements will be essential for future applications. In LTE and 5G standards,
Roberto M. M. Kagami, Luciano L. Mendes
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