Optimizing Mixed Capacity of Extended Reality and Mobile Broadband Services in 5G-Advanced Networks

Autor: Pouria Paymard, Abolfazl Amiri, Troels E. Kolding, Klaus I. Pedersen

Publikováno v: IEEE Access, Vol 11, Pp 113324-113338 (2023)

Extended reality (XR) is an emerging technology that has gained significant attention in the context of fifth-generation (5G) and 5G-Advanced cellular networks and beyond. One of the less explored areas for practical XR service deployments is the stu

Externí odkaz: https://doaj.org/article/c93f929b364b48dc84e25f1665972cc3

A Novel Realization of Low-Power and Low-Distortion Multiplier Circuit with Improved Dynamic Range

Autor: Ali Naderi Saatlo, Abolfazl Amiri

Publikováno v: Advances in Electrical and Electronic Engineering, Vol 15, Iss 5, Pp 780-787 (2017)

A novel topology of four-quadrant analog multiplier circuit is presented in this paper. The voltage mode technique is employed to design the circuit in CMOS technology. The dynamic input and output ranges of the circuit are improved owing to the fact

Externí odkaz: https://doaj.org/article/5253b7226f37470095bc89345ae4a346

Enhanced Link Adaptation for Extended Reality Code Block Group based HARQ Transmissions

Autor: Pouria Paymard, Abolfazl Amiri, Troels E. Kolding, Klaus I. Pedersen

Publikováno v: Paymard, P, Amiri, A, Kolding, T E & Pedersen, K I 2022, Enhanced Link Adaptation for Extended Reality Code Block Group based HARQ Transmissions . in 2022 IEEE Globecom Workshops (GC Wkshps) ., 10008622, IEEE, pp. 711-716, 2022 IEEE Globecom Workshops (GC Wkshps), 04/12/2022 . https://doi.org/10.1109/GCWkshps56602.2022.10008622

Extended Reality (XR) is one of the most important media applications in $5^{\mathrm{t}\mathrm{h}}$ Generation (5G) and 5G-Advanced. XR traffic is characterized by high data rates with bounded latency constraints, which is challenging for bandwidth-c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcebde4476cfa7d07037488d065dafcf
https://vbn.aau.dk/da/publications/16de87e4-989b-4c52-9540-10b17dbfa047

Deep Transfer Learning for Location-aware Millimeter Wave Beam Selection

Autor: Carles Navarro Manchon, Sajad Rezaie, Elisabeth de Carvalho, Abolfazl Amiri

Publikováno v: Rezaie, S, Amiri, A, De Carvalho, E & Manchon, C N 2021, ' Deep Transfer Learning for Location-aware Millimeter Wave Beam Selection ', I E E E Communications Letters, vol. 25, no. 9, 9461767, pp. 2963-2967 . https://doi.org/10.1109/LCOMM.2021.3091120

The main bottleneck for using deep neural networks in location-aided millimeter wave beam alignment procedures is the need for large datasets to tune their large set of trainable parameters. This letter proposes to use the transfer learning technique

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5753b6f25294ce4715e5ebf810fbb99
https://vbn.aau.dk/da/publications/404ca18e-731e-428c-bba7-1ce37aa50b15

Uncoordinated and Decentralized Processing in Extra-Large MIMO Arrays

Autor: Abolfazl Amiri, Carles Navarro Manchon, Elisabeth de Carvalho

Publikováno v: Amiri, A, Manchon, C N & De Carvalho, E 2022, ' Uncoordinated and Decentralized Processing in Extra-Large MIMO Arrays ', I E E E Wireless Communications Letters, vol. 11, no. 1, pp. 81-85 . https://doi.org/10.1109/LWC.2021.3120694

We propose a decentralized receiver for extra-large multiple-input multiple-output (XL-MIMO) arrays. Our method operates with no central processing unit (CPU) and all the signal detection tasks are done in distributed nodes. We exploit a combined mes

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab30b8d9de1138e9a0033044d28e3e2e
http://arxiv.org/abs/2103.06592