A New Algorithm for Maximizing Total Big Data Flow in a Cloud Radio Access Network
| Autor: | Bahman Abolhassani, Mohammad Bigdeli |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Millisecond
Radio access network Network packet Computer science business.industry Big data 020206 networking & telecommunications Cloud computing 02 engineering and technology 0202 electrical engineering electronic engineering information engineering Graph (abstract data type) 020201 artificial intelligence & image processing Radio access Down link business Algorithm |
| Zdroj: | 2020 28th Iranian Conference on Electrical Engineering (ICEE). |
| Popis: | In this paper, we propose a new algorithm to maximize the total down link Big Data flow in terms of total number of transmitted packets per millisecond for cloud radio access networks (C-RANs). We formulate the above problem using the C-RAN graph. The fairness is the implicit objective of this problem. The proposed algorithm solves this problem by selecting paths of the Big Data transmission. Simulation results show that the proposed algorithm achieves better total Big Data flows, as well as better fairness. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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