Optimal Energy Efficiency Based Power Adaptation for Downlink Multi-Cell Massive MIMO Systems
| Autor: | Borhanuddin Mohd Ali, Oussama Messadi, Raja Syamsul Azmir Raja Abdullah, Aduwati Sali, Vahid Khodamoradi, Mohanad M. Al-Wani, Asem A. Salah |
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| Rok vydání: | 2020 |
| Předmět: |
Mathematical optimization
Power transmission quality of service (QoS) General Computer Science Computer science MIMO General Engineering base station (BS) transmit power 020206 networking & telecommunications 02 engineering and technology Effective radiated power Transmitter power output Power (physics) Base station Telecommunications link massive MIMO 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing General Materials Science lcsh:Electrical engineering. Electronics. Nuclear engineering lcsh:TK1-9971 Energy efficiency (EE) Computer Science::Information Theory Communication channel Efficient energy use |
| Zdroj: | IEEE Access, Vol 8, Pp 203237-203251 (2020) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2020.3037530 |
| Popis: | In this paper, the power transmission and energy efficiency (EE) in downlink multi-cell massive multiple-input-multiple-output (MIMO) systems are investigated and optimized. Most of the existing works do not take into account different user's quality of service (QoS) requirements. These models also depend on a fixed transmit power consumption, which cannot reflect the actual EE levels concerning QoS. Therefore, in this paper, a new base station (BS) transmit power adaptation is firstly introduced, termed the BSTPA method. The transmitted power is adapted to channel condition and user-level QoS including data rate requirement and maximum allowable outage probability to minimize the total BS radiated power. An analytical closed-form expression of the average BS transmit power adaptation is derived. Then, a corresponding iterative optimization algorithm is proposed to maximize the average EE per BS and obtain the optimal design parameters. The proposed optimization algorithm aims to globally achieve the optimal EE value with the optimal amount of data rate, the number of BS antennas, and users. Simulation results are demonstrated to verify our analytical findings. For a wide range of different design parameters, the results indicate that the proposed method obtains remarkably higher EE levels compared to the conventional scenario, particularly if per-antenna circuit power is very small. The optimization results show that the case with lower per-antenna circuit power can achieve about 4.5 times better EE gain than the case with higher per-antenna circuit power with 13.3% optimum data rate improvement. |
| Databáze: | OpenAIRE |
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