Balancing AoI and Rate for Mission-Critical and eMBB Coexistence with Puncturing, NOMA,and RSMA in Cellular Uplink

Fuente: arXiv
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Auteurs principaux: Khodakhah, Farnaz, Mahmood, Aamir, Stefanović, Čedomir, Farag, Hossam, Österberg, Patrik, Gidlund, Mikael
Format: Preprint
Publié: 2024
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author Khodakhah, Farnaz
Mahmood, Aamir
Stefanović, Čedomir
Farag, Hossam
Österberg, Patrik
Gidlund, Mikael
author_facet Khodakhah, Farnaz
Mahmood, Aamir
Stefanović, Čedomir
Farag, Hossam
Österberg, Patrik
Gidlund, Mikael
contents Through the lens of average and peak age-of-information (AoI), this paper takes a fresh look into the uplink medium access solutions for mission-critical (MC) communication coexisting with enhanced mobile broadband (eMBB) service. Considering the stochastic packet arrivals from an MC user, we study three access schemes: orthogonal multiple access (OMA) with eMBB preemption (puncturing), non-orthogonal multiple access (NOMA), and rate-splitting multiple access (RSMA), the latter two both with concurrent eMBB transmissions. Puncturing is found to reduce both average AoI and peak AoI (PAoI) violation probability but at the expense of decreased eMBB user rates and increased signaling complexity. Conversely, NOMA and RSMA offer higher eMBB rates but may lead to MC packet loss and AoI degradation. The paper systematically investigates the conditions under which NOMA or RSMA can closely match the average AoI and PAoI violation performance of puncturing while maintaining data rate gains. Closed-form expressions for average AoI and PAoI violation probability are derived, and conditions on the eMBB and MC channel gain difference with respect to the base station are analyzed. Additionally, optimal power and rate splitting factors in RSMA are determined through an exhaustive search to minimize MC outage probability. Notably, our results indicate that with a small loss in the average AoI and PAoI violation probability the eMBB rate in NOMA and RSMA can be approximately five times higher than that achieved through puncturing.
format Preprint
id arxiv_https___arxiv_org_abs_2408_12926
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Balancing AoI and Rate for Mission-Critical and eMBB Coexistence with Puncturing, NOMA,and RSMA in Cellular Uplink
Khodakhah, Farnaz
Mahmood, Aamir
Stefanović, Čedomir
Farag, Hossam
Österberg, Patrik
Gidlund, Mikael
Information Theory
Signal Processing
Through the lens of average and peak age-of-information (AoI), this paper takes a fresh look into the uplink medium access solutions for mission-critical (MC) communication coexisting with enhanced mobile broadband (eMBB) service. Considering the stochastic packet arrivals from an MC user, we study three access schemes: orthogonal multiple access (OMA) with eMBB preemption (puncturing), non-orthogonal multiple access (NOMA), and rate-splitting multiple access (RSMA), the latter two both with concurrent eMBB transmissions. Puncturing is found to reduce both average AoI and peak AoI (PAoI) violation probability but at the expense of decreased eMBB user rates and increased signaling complexity. Conversely, NOMA and RSMA offer higher eMBB rates but may lead to MC packet loss and AoI degradation. The paper systematically investigates the conditions under which NOMA or RSMA can closely match the average AoI and PAoI violation performance of puncturing while maintaining data rate gains. Closed-form expressions for average AoI and PAoI violation probability are derived, and conditions on the eMBB and MC channel gain difference with respect to the base station are analyzed. Additionally, optimal power and rate splitting factors in RSMA are determined through an exhaustive search to minimize MC outage probability. Notably, our results indicate that with a small loss in the average AoI and PAoI violation probability the eMBB rate in NOMA and RSMA can be approximately five times higher than that achieved through puncturing.
title Balancing AoI and Rate for Mission-Critical and eMBB Coexistence with Puncturing, NOMA,and RSMA in Cellular Uplink
topic Information Theory
Signal Processing
url https://arxiv.org/abs/2408.12926