paper-with-me

홈 › Papers

GreenMO: Virtualized User-proportionate MIMO

2022-11-29 · Agrim Gupta, Sajjad Nassirpour, Manideep Dunna, Eamon Patamasing, Alireza Vahid, Dinesh Bharadia

With the turn of new decade, wireless communications face a major challenge on connecting many more new users and devices, at the same time being energy efficient and minimizing its carbon footprint. However, the current approaches to address the growing number of users and spectrum demands, like traditional fully digital architectures for Massive MIMO, demand exorbitant energy consumption. The reason is that traditionally MIMO requires a separate RF chain per antenna, so the power consumption scales with number of antennas, instead of number of users, hence becomes energy inefficient. Instead, GreenMO creates a new massive MIMO architecture which is able to use many more antennas while keeping power consumption to user-proportionate numbers. To achieve this GreenMO introduces for the first time, the concept of virtualization of the RF chain hardware. Instead of laying the RF chains physically to each antenna, GreenMO creates these RF chains virtually in digital domain. This also enables GreenMO to be the first flexible massive MIMO architecture. Since GreenMO's virtual RF chains are created on the fly digitally, it can tune the number of these virtual chains according to the user load, hence always flexibly consume user-proportionate power. Thus, GreenMO paves the way for green and flexible massive MIMO. We prototype GreenMO on a PCB with eight antennas and evaluate it with a WARPv3 SDR platform in an office environment. The results demonstrate that GreenMO is 3x more power-efficient than traditional Massive MIMO and 4x more spectrum-efficient than traditional OFDMA systems, while multiplexing 4 users, and can save upto 40% power in modern 5G NR base stations.

📄 PDF Abstract BibTeX arXiv:2211.16373

Code (0)

등록된 구현이 없습니다.

Methods 이 논문이 사용한 방법론

BASE 설명 없음
PCB 설명 없음

Similar Papers 제목 키워드 기반

Cell-Free Massive MIMO in Virtualized CRAN: How to Minimize the Total Network Power?

2022-02-18 · Özlem Tuğfe Demir, Meysam Masoudi, Emil Björnson, Cicek Cavdar

Previous works on cell-free massive MIMO mostly consider physical-layer and fronthaul transport aspects. How to deploy cell-free massive MIMO functionality in a practical wireless system is an open problem. This paper pr…

Cell-Free Massive MIMO in O-RAN: Energy-Aware Joint Orchestration of Cloud, Fronthaul, and Radio Resources

2023-01-15 · Özlem Tuğfe Demir, Meysam Masoudi, Emil Björnson, Cicek Cavdar

For the energy-efficient deployment of cell-free massive MIMO functionality in a practical wireless network, the end-to-end (from radio site to the cloud) energy-aware operation is essential. In line with the cloudificat…

MTPSA: Multi Tenant Portable Switch Architecture

2020-12-01 · Radostin Stoyanov, Noa Zilberman

Virtualized multi-tenant programmable switches enable on-demand support of different users’ protocols and programs. However, supporting multiple tenants on a virtualized switch raises concerns such as resource isolation …

VINEVI: A Virtualized Network Vision Architecture for Smart Monitoring of Heterogeneous Applications and Infrastructures

2024-12-26 · Rodrigo Moreira, Hugo G. V. O. da Cunha, Larissa F. Rodrigues Moreira, Flávio de Oliveira Silva

Monitoring heterogeneous infrastructures and applications is essential to cope with user requirements properly, but it still lacks enhancements. The well-known state-of-the-art methods and tools do not support seamless m…

ClassificationTraffic Classification

Multi-Provider Resource Scheduling in Massive MIMO Radio Access Networks

2024-07-12 · Qing An, Divyanshu Pandey, Rahman Doost-Mohammady, Ashutosh Sabharwal 외

An important aspect of 5G networks is the development of Radio Access Network (RAN) slicing, a concept wherein the virtualized infrastructure of wireless networks is subdivided into slices (or enterprises), tailored to f…

Scheduling