TY - GEN
T1 - Cache increases the capacity of wireless networks
AU - Qiu, Li
AU - Cao, Guohong
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/27
Y1 - 2016/7/27
N2 - Caching in wireless ad hoc networks can reduce network traffic and content access delay, as nodes can retrieve contents from near neighbors rather than the faraway server. However, the fundamental performance limits of caching in wireless ad hoc networks have rarely been studied in an analytical manner. In this paper, we study the fundamental property of wireless networks with caching, i.e., the scaling laws of the network capacity based on cache size of individual node, the total size of unique content and the number of nodes in the network. We present an upper bound on network capacity, and present an achievable capacity lower bound, where we propose a caching scheme to show what capacity can actually be achievable. Our results suggest that the capacity of wireless ad hoc networks with caching can remain constant even as the number of nodes in the network increases. We also present numerical results and demonstrate that our results are consistent with existing analytical results under extreme conditions where the node communication scenario matches theirs.
AB - Caching in wireless ad hoc networks can reduce network traffic and content access delay, as nodes can retrieve contents from near neighbors rather than the faraway server. However, the fundamental performance limits of caching in wireless ad hoc networks have rarely been studied in an analytical manner. In this paper, we study the fundamental property of wireless networks with caching, i.e., the scaling laws of the network capacity based on cache size of individual node, the total size of unique content and the number of nodes in the network. We present an upper bound on network capacity, and present an achievable capacity lower bound, where we propose a caching scheme to show what capacity can actually be achievable. Our results suggest that the capacity of wireless ad hoc networks with caching can remain constant even as the number of nodes in the network increases. We also present numerical results and demonstrate that our results are consistent with existing analytical results under extreme conditions where the node communication scenario matches theirs.
UR - http://www.scopus.com/inward/record.url?scp=84983361972&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84983361972&partnerID=8YFLogxK
U2 - 10.1109/INFOCOM.2016.7524443
DO - 10.1109/INFOCOM.2016.7524443
M3 - Conference contribution
AN - SCOPUS:84983361972
T3 - Proceedings - IEEE INFOCOM
BT - IEEE INFOCOM 2016 - 35th Annual IEEE International Conference on Computer Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016
Y2 - 10 April 2016 through 14 April 2016
ER -