Outage-Minimization Power and Spectrum Allocation for Terahertz Communications Systems

We propose joint transmit power and spectrum allocation schemes for terahertz (THz) communication systems with multi-connectivity technologies to overcome random path blockage effects and molecular absorption losses. The proposed approaches focus on quality of service (QoS) guarantees for instantaneous throughput fluctuated by the blockage dynamics and enhancement of the average total system throughput over time. To this end, a sum-of-outage-probability minimization problem and a geometric mean maximization problem for the throughput are formulated for the former and latter concepts, respectively. Moreover, a regularized sum-of-outage-probability minimization problem in which a regularizer suppresses throughput losses is formulated to deal with both the QoS requirement and the throughput enhancement. Stochastic learning and convex optimization mechanism are introduced to solve those problem. Numerical results confirm that the proposed approaches show the better tradeoff between the outage probability and the total system throughput than the conventional approaches.

Authors

Institutions

Publication Details

Published
2024-10-27
DOI
https://doi.org/10.1109/ieeeconf60004.2024.11003924
Citations
1
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Outage-Minimization Power and Spectrum Allocation for Terahertz Communications Systems

Sota Uchimura, Koji Ishibashi, Josep Miquel Jornet
1 citations
Advanced MIMO Systems Optimization
0.21
article

Outage-Minimization Power and Spectrum Allocation for Terahertz Communications Systems

Sota Uchimura, Koji Ishibashi, Josep Miquel Jornet
article en
1 citations

Abstract

We propose joint transmit power and spectrum allocation schemes for terahertz (THz) communication systems with multi-connectivity technologies to overcome random path blockage effects and molecular absorption losses. The proposed approaches focus on quality of service (QoS) guarantees for instantaneous throughput fluctuated by the blockage dynamics and enhancement of the average total system throughput over time. To this end, a sum-of-outage-probability minimization problem and a geometric mean maximization problem for the throughput are formulated for the former and latter concepts, respectively. Moreover, a regularized sum-of-outage-probability minimization problem in which a regularizer suppresses throughput losses is formulated to deal with both the QoS requirement and the throughput enhancement. Stochastic learning and convex optimization mechanism are introduced to solve those problem. Numerical results confirm that the proposed approaches show the better tradeoff between the outage probability and the total system throughput than the conventional approaches.

University of Electro-Communications (JP)
Japan Science and Technology Corporation
Affordable and clean energy
Openalex Percentile: Top 43%
Advanced MIMO Systems Optimization
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.