Fundamentals of Cluster-Centric Content Placement in Cache-Enabled Device-to-Device Networks

Abstract

This paper develops a comprehensive analytical framework with foundations in stochastic geometry to characterize the performance of cluster-centric content placement in a cache-enabled device-to-device (D2D) network. Different from device-centric content placement, cluster-centric placement focuses on placing content in each cluster such that the collective performance of all the devices in each cluster is optimized. Modeling the locations of the devices by a Poisson cluster process, we define and analyze the performance for three general cases: (i) k-Tx case: receiver of interest is chosen uniformly at random in a cluster and its content of interest is available at the k th closest device to the cluster center, (ii) -Rx case: receiver of interest is the th closest device to the cluster center and its content of interest is available at a device chosen uniformly at random from the same cluster, and (iii) baseline case: the receiver of interest is chosen uniformly at random in a cluster and its content of interest is available at a device chosen independently and uniformly at random from the same cluster. Easy-to-use expressions for the key performance metrics, such as coverage probability and area spectral efficiency (ASE) of the whole network, are derived for all three cases. Our analysis concretely demonstrates significant improvement in the network performance when the device on which content is cached or device requesting content from cache is biased to lie closer to the cluster center compared to baseline case. Based on this insight, we develop and analyze a new generative model for cluster-centric D2D networks that allows to study the effect of intra-cluster interfering devices that are more likely to lie closer to the cluster center.Index Terms-D2D caching, cluster-centric content placement, clustered D2D network, Poisson cluster process, Thomas cluster process, stochastic geometry.

Fundamental Limits of Cache-Aided Interference Management

“…[1][2][3][4][5][6][7][8][9][10][11][12][13]). In particular, in a network with only one transmitter broadcasting to several receivers, it was shown in [2] that local delivery attains only a small fraction of the gain that caching can offer, and by designing a particular pattern in cache placement at the users and exploiting coding in delivery, a significantly larger global throughput gain can be achieved, which is a function of the entire cache throughout the network.…”

The role of caching in next generation cellular networks: A survey and research outlook

“…Other authors [156][157][158][159][160] considered a different perspective of cache enabled networks, where the cache networks were modeled from stochastic geometry perspective with the main aim of characterizing the outage probability in closed form and evaluating the use of cache aided network from a purely physical layer standpoint. Based on benefits established by virtue of a vast and ever-increasing array of recent literature, caching has therefore been identified as one of the keys enables of 5G wireless networks.…”

Femtocaching assisted multi-source D2D content delivery in cellular networks

“…However, along with the growth in the number of helpers, each RUT can be covered by multiple helpers, and the hit rate will be increased as well as the interference and the investment cost. In addition, another potential deficiency of the small cell-based infrastructure is that, during peak traffic period, the backhaul link-capacity requirement to respond data is enormously high [4]. Obviously, if the storage capacity of existing devices (e.g., UTs) is considered, storage-investment efficiency will be further improved.…”

“…46, Jianshe East Road, 453007 Xinxiang, China Full list of author information is available at the end of the article transmit data directly. By pre-storing popular files and dispatching data via D2D, the system has a higher gain with the increase of file storage capabilities at the network edge [4,5]. The reason behind this is that the most popular files are more likely to be accessed by the majority of users, although there are huge amount of traffic suffering by the network.…”