System-Level Optimization in Wireless Networks: Managing Interference and Uncertainty via Robust Optimization

2012 ◽  
Vol 20 (2) ◽  
pp. 339-352 ◽  
Author(s):  
Sungho Yun ◽  
Constantine Caramanis
2021 ◽  
Author(s):  
Silvio Mandelli ◽  
Alessandro Lieto ◽  
Mark Razenberg ◽  
Andreas Weber ◽  
Thorsten Wild

Abstract One of the current 6G wireless networks research's trends is to investigate short distance and dense scenarios, where users are locally connected in sub-networks. Such use case is critical to support the advances of industrial internet of things or Industry 4.0, e.g. connecting an entire group of sensors and actuators of a robot. Therefore, schemes that can properly manage the interference must be deployed in practical systems to allow the promised performance advances of 6G . Targeting these high density scenarios, we describe the Power Optimization for Low Interference and Throughput Enhancement (POLITE) paradigm for link adaptation and power allocation, which leverages available radio resources to stabilize and reduce the interference. The baseline link adaptation schemes are compared with POLITE in their performance in a 3GPP -calibrated system level simulator for industrial scenarios. As services in industrial environments require high reliability under constrained delays, we propose different delay-aware formulations in the POLITE design. In this work we provide solutions both for relaxed delay requirements and for latency critical traffic, whose delay must be minimized. In particular, in the latter case, we propose also modifications of user selection and resource allocation procedures to further improve the reliability and latency. Simulation results prove the benefits of POLITE in terms of increased throughput, fulfillment of relaxed and delay-critical requirements, with an overall reduced transmit power compared to the current baseline link adaptation schemes.


2012 ◽  
Vol 48 (2) ◽  
pp. 923-926 ◽  
Author(s):  
Gang Lei ◽  
Y. G. Guo ◽  
J. G. Zhu ◽  
T. S. Wang ◽  
X. M. Chen ◽  
...  

2006 ◽  
Vol 86 (8) ◽  
pp. 1792-1803 ◽  
Author(s):  
Bruno Bougard ◽  
Sofie Pollin ◽  
Antoine Dejonghe ◽  
Francky Catthoor ◽  
Wim Dehaene

2021 ◽  
Author(s):  
Yi Chen ◽  
Chong Han

Directional antennas and beamforming techniques that bring promising transmission gain to the wireless links are widely incorporated in the system-level analysis of wireless networks. In many existing studies, the beamforming gain model to calculate the beamforming gain considers beamforming pattern and aligned as well as misaligned cases. However, the channel properties, e.g., the K factor and the spatial distribution of multi-paths, are neglected, which could significantly influence the beamforming gain. In this paper, a general beamforming gain model is appropriately defined, while the traditional beamforming gain model is proved to be only a special case in the proposed general model by consideringan oversimplified channel with no angular spread. In light of this, expressions of the received signal amplitude and the beamforming gain are rigorously derived for narrowband fading and wideband statistical mmWave channels, respectively. Thorough comparison between the proposed beamforming gain model and the traditional beamforming gain is provided, which demonstrates and validates that the traditional model incorrectly captures the beamforming gain and thereby, leads to inaccurate system-level network analysis. To this end, the effectiveness and importance of the proposed general beamforming gain model are revealed, particularly for millimeter-wave wideband systems.


Author(s):  
M. Majid Butt ◽  
Benjamin Schubert ◽  
Martin Kurras ◽  
Kai Borner ◽  
Thomas Haustein ◽  
...  

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