Information Freshness in Uplink OFDM Based Multiple Access Networks in Flat Nakagami-[Formula Omitted] Fading Channels

In flat Nakagami-[Formula Omitted] fading channels, we study the total information freshness maximization problem for an uplink orthogonal frequency division multiplexing (OFDM) based multiple access network. Without channel state information, each user transmits the freshest version of the file to...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on vehicular technology 2022-01, Vol.71 (4), p.4518
Main Authors: Mai, Lifeng, Lai, Xiazhi, Zhang, Qi, Qin, Jiayin
Format: Article
Language:English
Subjects:
Algorithms
Channels
Fading
Freshness
Iterative algorithms
Iterative methods
Maximization
Multiple access
Optimization
Orthogonal Frequency Division Multiplexing
Uplinking
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In flat Nakagami-[Formula Omitted] fading channels, we study the total information freshness maximization problem for an uplink orthogonal frequency division multiplexing (OFDM) based multiple access network. Without channel state information, each user transmits the freshest version of the file to the base station for information updating using the OFDM scheme. Considering the actual transmission durations, we theoretically derive the analytical expression for average information freshness. Furthermore, we propose an alternating optimization algorithm to solve the total information freshness maximization problem. In the proposed algorithm, the bandwidth allocation problem is solved using the majorization-minimization based iterative algorithm and transmission rate optimization problem is solved by the bisection search. Numerical results illustrate that our proposed updating scheme is superior to the rate proportional and rate inverse proportional updating schemes.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2022.3144973