Paper Info
Title
Joint service improvement and content placement for cache-enabled heterogeneous cellular networks
Abstract
Caching popular contents in the storage of base stations (BSs) has emerged as a promising solution for reducing the transmission latency and providing extra-high throughput. This study tackles the optimal trade-off problem between the sum of effective rates and backhaul saving through joint service improvement and content placement in cache-enabled heterogeneous cellular networks while guaranteeing the quality-of-service requirements of all user terminals (UTs) and backhaul traffic constraints of all BSs. However, there exists an intractable issue of mixing the integer nature into the feasible region in the nonlinear optimisation problem. To this end, the authors decompose the optimisation problem into three subproblems by alternately fixing two of three classes of variables (i.e. UT association, power control, and content placement). Aiming at these subproblems, they, respectively, convert them into the tractable forms and propose the corresponding algorithms. By combining them, they propose a three-tier iterative algorithm for jointly optimising UT association and cache placement. Finally, numerical results have verified the effectiveness of proposed schemes.
Year
DOI
Venue
2019
10.1049/iet-spr.2018.5135
Iet Signal Processing
Keywords
Field
DocType
cellular radio,telecommunication traffic,iterative methods,quality of service,nonlinear programming,integer programming
Base station,Mathematical optimization,Backhaul (telecommunications),Iterative method,Cache,Power control,Feasible region,Cellular network,Throughput,Mathematics
Journal
Volume
Issue
ISSN
13
3
1751-9675
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Haibo Dai1508.63
Yi Wang27410.97
Tianqing Zhou35610.20
Luxi Yang41180118.08