TY - GEN
T1 - Content delivery with coded caching and massive MIMO in 5G
AU - Yang, Sheng
AU - Ngo, Khac Hoang
AU - Kobayashi, Mari
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/10/17
Y1 - 2016/10/17
N2 - Do the gains from massive MIMO and coded caching cumulate? In this paper, we try to answer the question in a simple setting of downlink MIMO channel with Rayleigh quasi-static fading. While it is generally perceived that each of massive MIMO and coded caching is scalable alone with the number of users, we show that in this setting MIMO and coded caching are indeed complementary and the combination of both provides a scalable solution in most practical scenarios.
AB - Do the gains from massive MIMO and coded caching cumulate? In this paper, we try to answer the question in a simple setting of downlink MIMO channel with Rayleigh quasi-static fading. While it is generally perceived that each of massive MIMO and coded caching is scalable alone with the number of users, we show that in this setting MIMO and coded caching are indeed complementary and the combination of both provides a scalable solution in most practical scenarios.
UR - http://www.scopus.com/inward/record.url?scp=84994410084&partnerID=8YFLogxK
U2 - 10.1109/ISTC.2016.7593139
DO - 10.1109/ISTC.2016.7593139
M3 - Conference contribution
AN - SCOPUS:84994410084
T3 - International Symposium on Turbo Codes and Iterative Information Processing, ISTC
SP - 370
EP - 374
BT - 2016 9th International Symposium on Turbo Codes and Iterative Information Processing
PB - IEEE Computer Society
T2 - 9th International Symposium on Turbo Codes and Iterative Information Processing, ISTC 2016
Y2 - 5 September 2016 through 9 September 2016
ER -