適用於小型蜂巢式網路之再生能源分配

Renewable Energy-Based Resource Allocation for Small Cell Networks

雅菲斯(Balqis, Yafis)

指導教授 ： 方凱田

國立交通大學/電機學院/電機資訊國際學位學程/碩士(2016年)

摘要

近年來，小型蜂巢式網路被視為改善下一世代網路容量及綠能通訊的關鍵技術。然而，大量佈置小型基地台將造成大量的市電供應需求，因此，綠能的使用將成為能量來源的關鍵。

本論文針對小型蜂巢式網路，根據綠能存取的統計特性模型，設計功率分配機制最小化用戶的服務中斷機率。本研究針對單細胞網路，考量在太陽能的使用以及有限的蓄電容量下，提出一服務品質感知之功率分配機制。此機制藉由馬爾可夫決策過程，可適當調整用戶所使用的資源，頻譜效益，傳輸功率以及有效的配置綠能，以達到服務中斷機率的最小化。

關鍵字

資源分配 ； 馬可夫決策過程 ； 能量收集 ； 小型基地台網路 ； 全雙工

並列摘要

Small cells as one of the key technologies to the success of the next generation cellular networks, as they aim at boosting network capacity and saving energy. Massive deployment of small cell will conduct the difficulty to provide grid power supply to all small cell base stations (SCBSs) in a cost effective way. Thus, adjustments and transmission strategies will be needed in powering small cell networks by renewable energy sources.

This work focused on minimizing outage probability in small cell powered by energy harvesting (EH) by employing the data-driven stochastic energy harvesting model which established by real data record. We propose outage-aware power allocation (OPA) scheme as an optimal transmission policy for two-way communication system between base station (BS) and user (UE) in one single small cell network where each node is solar-powered and equipped with a finite capacity battery. We extend the previous work in term of minimizing outage probability by adapting user scheduling, spectrum efficiency and transmission power to system factors such as solar Energy state information (ESI), battery energy and channel fading with the use of Markov decision process (MDP).

並列關鍵字

Resource Allocation ； Markov Decision Process ； Energy Harvesting ； Small Cell Networks ； Full Duplex

參考文獻

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