Content Delivery Analysis in Multiple Devices to Single Device Communications

Abstract

Content caching at the terminal user device (UD) utilizing the device to device (D2D) communications is a promising technology to enhance the performance of mobile networks in terms of latency, throughput, energy consumption and so on. In this paper, a novel method of content delivery using multiple devices to single device (MDSD) communications through D2D links is presented. In this method, the Zipf distribution with exponent shape parameter is adopted to model the content caching popularity which affects the achievable signal to interference plus noise ratio (SINR). In order to investigate the advantage of the proposed MDSD method, firstly, a closed-form expression of the outage probability is theoretically derived for a single D2D communication to evaluate the success of content delivery to the UD. Secondly, the expression of the outage probability for MDSD communication is derived, where the outage probability is modeled as a function of content caching popularity, the density of UDs, and the size of cooperative area. The research work is further extended to address the frequency reuse among different UDs in one cell, where a frequency band factor is introduced, and the optimal radius of the cooperative area is defined and analysed. The analytical results are validated by the simulation results and show that the outage probability decreases drastically when the popularity of the content increases, or the radius of the cooperative area increases. Using the derived closed-form expression of the outage probability, the area spectral efficiency (ASE) of the system is presented. Furthermore, the results show that as the frequency band factor increases, the outage probability decreases. Finally, it is shown that the MDSD outperforms the single D2D-based method.

Sidelobe level minimization for uniform circular smart antenna array using cultural algorithm

“…The statistics confirm the upward trend of using mobile wireless communication services around the world and it will increase exponentially in the upcoming years [1]. Studies indicate that data traffic has increased substantially due to the internet of things (IoT) applications and has become heavily dependent on wireless mobile communication service companies.…”

Performance Analysis and Optimization of Cache-Assisted CoMP for Clustered D2D Networks

“…Following a similar approach, employing cooperative content delivery in D2D caching networks is discussed in [17]- [19]. For instance, the authors in [17] proposed a multiple devices to a single device content delivery method via D2D communication.…”

“…Following a similar approach, employing cooperative content delivery in D2D caching networks is discussed in [17]- [19]. For instance, the authors in [17] proposed a multiple devices to a single device content delivery method via D2D communication. Moreover, an opportunistic cooperation strategy for D2D transmission is proposed in [18] to mitigate interference among D2D links.…”

“…While interesting, the works in [17]- [19] did not consider the notion of device clustering, which is quite fundamental to the D2D network architecture [20] and [21]. In this regard, the authors in [22] developed a stochastic geometry-based model to characterize the performance of content delivery in a clustered D2D network whose devices are distributed according to a Poisson cluster process (PCP).…”

“…Although P ∼ o (c) characterized in Theorem 1 is simpler to compute compared to P o (c), it is still challenging to obtain the optimal caching probability due to the summation and multi-fold integration in Eq. (17). Similar to [14], we consider a special case when downloading content from one active content provider, for which the offloading gain maximization problem turns out to be convex.…”