Caching, Computing and Delivery in Wireless Networks Workshop (CCDWN)

Call for Papers

With the ever-growing demand for connectivity in 6G networks, limited air interface resources, storage capabilities, network, and protocols, as well as throughput hungry and delay-sensitive applications challenge the effective processing of a large volume of data. The caching paradigm can enable the providers to provide faster downloads and cheaper services. Existing work in the field has demonstrated key savings through edge helpers, erasure coding, and distributed optimization techniques, and shed light on the fundamental limits of bandwidth and storage requirements. To satisfy the QoS requirements of emerging applications, the focus of the 6th Caching, Computing and Delivery in Wireless Networks Workshop (CCDWN) (previously known as Content Caching and Delivery in Wireless Networks) is to bring together techniques from optimization, information theory, and networking to enable personalized, intelligent, scalable, and secure caching at the edge and meet the stringent requirements in 6G networks. We believe that the high-quality contributions from the researchers in the field will advance the understanding of performance limits, closing the gap between theory and practice.

Topics of interests include but not limited to

  • Cache protocols, distributed and adaptive algorithms, effective relaxation and rounding techniques forplacement to provide optimality guarantees
  • Joint optimization of caching, routing, rate, power, congestion, delay for meeting throughput-latencyrequirements, providing guarantees and resilience to failures
  • Fairness and privacy in caching
  • Distributed reinforcement learning for caching
  • Caching for networking, caching in HetNets, spatial and temporal caching, content updates incache-aided networks, load balancing with asymmetric upload and download bandwidth, accounting forbackhaul cost and bottlenecks
  • Information-centric networking, named data networking
  • Caching for computation, coding for computation
  • Information theoretic limits and throughput scaling laws and the role of feedback
  • Delivery delay, queueing delay, transmission delay
  • Modeling the tail distribution, demand correlations
  • Cache replacement techniques
  • Learning at the edge, intelligent caching
  • Coded caching, network coding for distributed storage/caching
  • Management of storage systems, updates, and storage versus repair-bandwidth tradeoff
  • Caching games, multi-agent techniques
  • Caching for multimedia, live video, AR-VR, holographic communication
  • Video caching, multiple description, multiple rates and/or multi-view videos
  • Prefetching, proactive caching, recommendation-aware content caching

Plenary Speakers

Kaibin Huang (The University of Hong Kong)
Lara Dolecek (The University of California, Los Angeles)

Program

TBD

Contact

Derya Malak, malakd@rpi.edu

Workshop Organizers

Derya Malak, malakd@rpi.edu
Tianyi Chen, chent18@rpi.edu

Submission Instructions

All submissions will be handled by EDAS.

No-show Policy

At least one author should have full registration either for the whole WiOpt event or for the workshop and present the work.

Important Dates

Paper submission: June 30, 2021, 23:59 EST
Notification of acceptance: August 8, 2021, 23:59 EST
Camera ready/registration due: August 13, 2021, 23:59 EST
Workshop: October 18, 2021 (Monday)

TPC Members

  • Alhussein A. Abouzeid (RPI)
  • Arjun Anand (Intel)
  • Ejder Bastug (Nokia Bell Labs)
  • Soumya Basu (Google)
  • Rafael D’Oliveira (MIT)
  • Yanjie Dong (The University of British Columbia)
  • Petros Elia (Eurecom)
  • Homa Esfahanizadeh (MIT)
  • Xiaowen Gong (Auburn University)
  • Stratis Ioannidis (Northeastern University)
  • George Iosifidis (Delft University of Technology)
  • Mingyue Ji (University of Utah)
  • Koushik Kar (RPI)
  • Marios Kountouris (Eurecom)
  • Jia Liu (OSU)
  • Mohammad Ali Maddah-Ali (Sharif University)
  • Navid NaderiAlizadeh (HRL Laboratories)
  • Alireza Sadeghi (UMN)
  • Srinivas Shakkottai (Texas A&M)
  • Cong Shen (University of Virginia)
  • Xingyu Zhou (Wayne State University)