TY - JOUR
T1 - A New Vision of Wireless Edge Caching Networks (WECNs)
T2 - Issues, Technologies, and Open Research Trends
AU - Fu, Yaru
AU - Zhang, Yue
AU - Zhu, Qi
AU - Dai, Hong Ning
AU - Li, Mingmei
AU - Quek, Tony Q. S.
N1 - Funding information:
The work of Y. Fu is supported by the grant from the Research Grants Council (RGC) of the Hong Kong Special Administrative Region, China, under Project Reference No. UGC/FDS16/E09/21; the research of Y. Zhang is supported by the National Natural Science Foundation of China (62201336) and the STU Scientific Research Initiation Grant (SRIG) of Shantou University under Grant NTF 21039; the work of Q. Zhu is supported by the National Natural Science Foundation of China (61971239) and the Jiangsu Provincial Key Research and Development Program (No. BE2022068- 2). (Corresponding author: Yaru Fu)
PY - 2024/1
Y1 - 2024/1
N2 - The future generation of wireless cellular system is expected to accommodate extensive latency-sensitive, tactus-aware, and data-intensive intelligent applications, thereby posing significant challenges on current network architectures. For meeting the challenges, wireless edge caching has been envisioned as a viable enabler. However, the underlying key issues therein, such as reliability, effectiveness, and the joint design, are significantly undervalued. The reliability issue refers to the data-corruption problem incurred by hardware impairments, software upgrades, and network congestion at edges. The effectiveness issue here expresses the unsatisfactory cache hit efficiency. Whilst the joint design aims to acquire the tradeoff among different metrics. In this article, we are dedicated to filling these research gaps. Therewith, we first brief the hierarchical wireless edge caching network architecture with proactive mechanisms. Then, we elaborate on the research roadways towards these critical issues and examine how fault-tolerant coding and bundle recommendation strategies can potentially enhance the reliability and the effectiveness of edge caching in future intelligent communication era. Moreover, the interplay between forgoing mentioned aspects is illuminated as well. A pair of case studies are exemplified to further demonstrate the validity of our devised versatile solutions. At last, the open research opportunities and future trends are identified.
AB - The future generation of wireless cellular system is expected to accommodate extensive latency-sensitive, tactus-aware, and data-intensive intelligent applications, thereby posing significant challenges on current network architectures. For meeting the challenges, wireless edge caching has been envisioned as a viable enabler. However, the underlying key issues therein, such as reliability, effectiveness, and the joint design, are significantly undervalued. The reliability issue refers to the data-corruption problem incurred by hardware impairments, software upgrades, and network congestion at edges. The effectiveness issue here expresses the unsatisfactory cache hit efficiency. Whilst the joint design aims to acquire the tradeoff among different metrics. In this article, we are dedicated to filling these research gaps. Therewith, we first brief the hierarchical wireless edge caching network architecture with proactive mechanisms. Then, we elaborate on the research roadways towards these critical issues and examine how fault-tolerant coding and bundle recommendation strategies can potentially enhance the reliability and the effectiveness of edge caching in future intelligent communication era. Moreover, the interplay between forgoing mentioned aspects is illuminated as well. A pair of case studies are exemplified to further demonstrate the validity of our devised versatile solutions. At last, the open research opportunities and future trends are identified.
KW - Bundle recommendation
KW - effectiveness
KW - wireless content caching
KW - reliability
KW - repair mechanism
UR - http://www.scopus.com/inward/record.url?scp=85151372645&partnerID=8YFLogxK
U2 - 10.1109/MNET.124.2200003
DO - 10.1109/MNET.124.2200003
M3 - Journal article
AN - SCOPUS:85151372645
SN - 0890-8044
VL - 38
SP - 247
EP - 253
JO - IEEE Network
JF - IEEE Network
IS - 1
ER -