In this paper, we develop a comprehensive analytical framework for cache enabled cellular networks overlaid with coordinated device-to-device (D2D) communication. We follow an approach similar to LTE Direct, where the base station (BS) is responsible for establishing D2D links. We consider that an arbitrary requesting user is offloaded to D2D mode to communicate with one of its 'k' closest D2D helpers within the macrocell subject to content availability and helper selection scheme. We consider two different D2D helper selection schemes: 1) uniform selection (US), where the D2D helper is selected uniformly and 2) nearest selection (NS), where the nearest helper possessing the content is selected. Employing tools from stochastic geometry, we model the locations of BSs and D2D helpers using independent homogeneous Poisson point processes (HPPPs). We characterize the D2D mode probability of an arbitrary user for both the NS and US schemes. The distribution of the distance between an arbitrary user and its ith neighboring D2D helper within the macrocell is derived using disk approximation for the Voronoi cell, which is shown to be reasonably accurate. We fully characterize the overall coverage probability and the average ergodic rate of an arbitrary user requesting a particular content. We show that significant performance gains can be achieved compared to conventional cellular communication under both the NS and US schemes when popular contents are requested and NS scheme always outperforms the US scheme. Our analysis reveals an interesting trade off between the performance metrics and the number of candidate D2D helpers 'k'. We conclude that enhancing D2D opportunities for the users does not always result in better performance and the network parameters have to be carefully tuned to harness maximum gains.
MEC Task Offloading in AIoT: A User-Centric DRL Model Splitting Inference Scheme
College of Computer Science, Sichuan Normal University（四川师范大学计算机科学学院）；Academic Affairs Office, Sichuan Water Conservancy Vocational College（四川水利职业技术学院教务处）
COMETS: Coordinated Multi-Destination Video Transmission with In-Network Rate Adaptation
The Hong Kong University of Science and Technology, Guangzhou（香港科技大学（广州））；The Hong Kong University of Science and Technology（香港科技大学）；University of Jyväskylä（于韦斯屈莱大学）
ViTMAlis: Towards Latency-Critical Mobile Video Analytics with Vision Transformers
School of Computing Science, Simon Fraser University（计算科学系，西蒙·弗雷泽大学）；Global College, Shanghai Jiao Tong University（全球学院，上海交通大学）；School of Science and Engineering (SSE) and The Future Network of Intelligence Institute (FNii), The Chinese University of Hong Kong, Shenzhen（科学与工程学院（SSE）和未来智能网络研究所（FNii），香港中文大学（深圳））；Computer Science Department, University of Illinois Urbana-Champaign（计算机科学系，伊利诺伊大学厄巴纳-香槟分校）
