Path Assignment in Mesh Networks at the Edge of Wireless Networks
Paper i proceeding, 2025

We consider a mesh network at the edge of a wireless network that connects users to the core network via multiple base stations. For this scenario, we present a novel tree-search-based algorithm that strives to identify effective communication path to the core network for each user by maximizing the signal-to-noise-plus-interference ratio (SNIR) along the chosen path. We show that, for three mesh networks of varying sizes, our algorithm selects paths with minimum SNIR values that are 3 dB to 18 dB higher than those obtained through an algorithm that disregards interference within the network, 16 dB to 20 dB higher than those chosen randomly by a random path selection algorithm, and 0.5 dB to 7 dB higher compared to a recently introduced genetic algorithm (GA). Furthermore, we demonstrate that our algorithm has lower computational complexity compared to the GA in networks where its performance is within 2 dB of ours.

Författare

Siddhartha Kumar

Qamcom Research & Technology

Mohammad H. Moghaddam

Qamcom Research & Technology

Andreas Wolfgang

Catalytic Technology Ab

Tommy Svensson

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

2025 IEEE International Conference on Communications Workshops Icc Workshops 2025

1845-1850
9798331596248 (ISBN)

2025 IEEE International Conference on Communications Workshops, ICC Workshops 2025
Montreal, Canada,

A holistic flagship towards the 6G network platform and system, to inspire digital transformation, for the world to act together in meeting needs in society and ecosystems with novel 6G services

Europeiska kommissionen (EU) (101095759-Hexa-X-II), 2022-12-01 -- 2025-06-30.

A flagship for B5G/6G vision and intelligent fabric of technology enablers connecting human, physical, and digital worlds (Hexa-X )

Europeiska kommissionen (EU) (EC/HE/101120332), 2023-10-01 -- 2027-09-30.

Europeiska kommissionen (EU) (EC/2020/101015956), 2021-01-01 -- 2023-06-30.

Ämneskategorier (SSIF 2025)

Datavetenskap (datalogi)

DOI

10.1109/ICCWorkshops67674.2025.11162212

Mer information

Senast uppdaterat

2025-10-24