To the best of our knowledge, this paper is the first one that focuses on fractional -integral inequalities.
Recently, research interest focused on fractional differential equations has become more and more manifest.
Recently, many scholars have focused on fractional BVPs with p-Laplacian operator (see [12 14]).
It also underscores how several top industry players are each pursuing different strategies to chip away at the leadership position of Columbus, Ohio-based NetJets, a subsidiary of Warren Buffett's Berkshire Hathaway which focuses on fractional shares, leases, and jet cards as well as aircraft management and charter through Executive Jet Management.
A huge number of results focused on fractional differential equations; see the monographs of Kilbas et al. [12] and Zhou [17, 18], the papers [1, 10], and the references therein.
We believe that our framework can be employed with many recent approaches that require network coordination to improve cell-edge throughput, including fractional frequency reuse, macro-diversity, and various other forms of network MIMO techniques applicable to cell-edge users, although we focused on fractional frequency reuse and macro-diversity in this work.
Although there exists a considerable mass of research on the modeling of these devices, a survey focusing on fractional-order models has not been conducted.
We will not touch upon this question here, and we focus on the fractional -server problem, see for example Section 5.2 here for more.
Based on the initial algorithm proposed in [13], in this paper we focus on the fractional delay estimation algorithm that can be considered as a first-order tracking loop synchronisation algorithm piloted by an interpolated reference signal.
