This paper considers the consumption of power and resource metrics in small cell networks, which are enabled through the Sleep Mode Selection (SLS) function in Orthogonal Frequency Division Multiple Access (OFDMA) system. The proposed technique considers heterogeneous networks and operates under two different schemes that includes power management using SLS and resource management using a deactivation algorithm. Further, the limitation of low power consumption schemes leads to degradation of network performance in Orthogonal Frequency Division Multiple Access (OFDMA) networks. Hence, to improve the performance, a Semi-Markov SLS (SMD-SLS) decision making process is utilized in the present study. The performance is again improved with spectrum reuse maximization, where a small cell deactivation strategy identifies well the cells in sleep modes condition and eliminates them optimally for improved spectrum reuse. The performance is evaluated for the conventional non-sleeping mode cells and a benchmark technique. The results validates the performance of proposed model against improved resource and power management.

本文考虑了小型小区网络中的功耗和资源指标，这些指标是通过正交频分多址（OFDMA）系统中的睡眠模式选择（SLS）功能启用的。所提出的技术考虑了异构网络，并且在两种不同的方案下运行，包括使用SLS的电源管理和使用停用算法的资源管理。此外，低功耗方案的局限性导致正交频分多址（OFDMA）网络中的网络性能下降。因此，为了提高性能，在本研究中采用了半马尔可夫SLS（SMD-SLS）决策过程。频谱复用最大化可再次提高性能，在这种情况下，小型小区停用策略可以很好地识别处于睡眠模式的小区，并以最佳方式消除它们，从而提高频谱利用率。针对常规非睡眠模式电池和基准技术评估了性能。结果证明了针对改进的资源和电源管理所提出的模型的性能。