A Cost Assessment Methodology for User-Centric Distributed Massive MIMO Architectures

被引:0
|
作者
Fernandes, Andre L. P. [1 ]
Souza, Daynara D. [1 ,2 ]
Natalino, Carlos [3 ]
Tonini, Federico [4 ]
Cavalcante, Andre M. [5 ]
Monti, Paolo
Costa, Joao C. W. A. [1 ]
机构
[1] Fed Univ Para, Appl Electromagnetism Lab, BR-66075110 Belem, Brazil
[2] Lappeenranta Lahti Univ Technol, Sch Energy Syst, Lappeenranta 53850, Finland
[3] Chalmers Univ Technol, Dept Elect Engn, S-41296 Gothenburg, Sweden
[4] Natl Interuniv Consortium Telecommun, Wireless Networking Lab, I-40133 Bologna, Italy
[5] Ericsson Telecomunicacoes Ltda, Ericsson Res, BR-13337300 Indaiatuba, Brazil
来源
IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY | 2024年 / 5卷
关键词
Costs; Biological system modeling; Computer architecture; Distributed processing; Massive MIMO; 5G mobile communication; Computational complexity; Cell-free massive MIMO; feasibility analysis; network deployment; functional splits; techno-economic assessment; total cost of ownership; CELL-FREE; RELIABILITY; BACKHAUL;
D O I
10.1109/OJCOMS.2024.3406374
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
User-centric (UC) distributed massive multiple-input multiple-output (D-mMIMO), also known as cell-free mMIMO, is a pivotal technology for enabling future mobile communication systems. While UC D-mMIMO intrinsically follows a distributed architecture, its processing can be implemented in a distributed or centralized fashion. This paper proposes a comprehensive cost assessment methodology for UC D-mMIMO, capturing its total cost of ownership and factoring in the deployment configuration, processing implementation, computational demands, and fronthaul signaling. The methodology considers two transmission reception point (TRP) deployment strategies. The first focuses only on supporting user equipment (UE) demands, while the other fulfills these requirements and also actively strives to provide a fairer service among UEs. The proposed methodology is then used to perform a techno-economic assessment of the feasibility of centralized versus distributed processing functional splits while varying key costs and TRP capabilities, like antenna and served UE count. Results suggest that with the TRP deployment that only supports the required UE rate, distributed processing is usually the most feasible option for UE demands of up to 50 Mbps, and centralized processing is more cost-effective in other cases. Additionally, when considering the actively fairer TRP deployment, centralized processing becomes cheaper for any UE demands.
引用
收藏
页码:3517 / 3543
页数:27
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