Abstract
In the past decade, low power consumption schemes have undergone degraded communication performance, where they fail to maintain the trade-off between the resource and power consumption. In this paper, management of resource and power consumption on small cell orthogonal frequency-division multiple access (OFDMA) networks is enacted using the sleep mode selection method. The sleep mode selection method uses both power and resource management, where the former is responsible for a heterogeneous network, and the latter is managed using a deactivation algorithm. Further, to improve the communication performance during sleep mode selection, a semi-Markov sleep mode selection decision-making process is developed. Spectrum reuse maximization is achieved using a small cell deactivation strategy that potentially identifies and eliminates the sleep mode cells. The performance of this hybrid technique is evaluated and compared against benchmark techniques. The results demonstrate that the proposed hybrid performance model shows effective power and resource management with reduced computational cost compared with benchmark techniques.
Highlights
Significant voice and data requirements have placed pressure on wireless radio links and the infrastructure of wireless networks globally
An optimal policy is selected, denoted by π, which has maximized the total reward under where P(S,A) is the total power consumed by all base station (BS) that acts as a function of the semi-Markov decision (SMD)-sleep mode selection (SLS) state and the threshold constraint with Signal Input to Noise Ratio (SINR) function on the zth user’s SINR gk (x) within x
A hybrid semi-Markov sleep mode selection with a small cell deactivation strategy is shown to improve the efficiency of power and resource utilization in small cell orthogonal frequency-division multiple access (OFDMA) networks
Summary
Significant voice and data requirements have placed pressure on wireless radio links and the infrastructure of wireless networks globally. To improve optimal performance gains, Radio Resource Management (RRM) [9] and joint RRM [10] techniques were improved with new policies [11] One such policy is sleep mode in a heterogeneous network that improves capacity and power efficiency. Traffic arrival [13] from various nodes increases the discrepancy of inefficient power consumption in small cells To overcome such issues, the semi-Markov decision process is used as a decision-maker in sleep mode selection (SLS) for improved performance [14]. To further improve power consumption in the small cell heterogeneous orthogonal frequency-division multiple access (OFDMA) network, a hybrid SLS-based. The information orthogonalization using a selection algorithm that identifies the base station (BS) with the highest is fed into an RP scheme to determine whether the deactivation of a small cell can improve resource reduction in reuse.
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