NDLI: Joint service improvement and content placement for cache-enabled heterogeneous cellular networks

Content Provider	IET Digital Library
Author	Dai, Haibo Wang, Yi Zhou, Tianqing Yang, Luxi
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.
Starting Page	253
Ending Page	261
Page Count	9
ISSN	17519675
Volume Number	13
e-ISSN	17519683
Issue Number	Issue 3, May (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/13/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2018.5135
Journal	IET Signal Processing
Publisher Date	2018-10-25
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Backhaul Saving Backhaul Traffic Constraint Base Station Cache-enabled Heterogeneous Cellular Network Cellular Radio Content Placement Extra-high Throughput Integer Programming Interpolation And Function Approximation Iterative Method Joint Service Improvement Mobile Radio System Nonlinear Optimisation Problem Nonlinear Programming Numerical Analysis Optimal Trade-off Problem Optimisation Technique Power Control Quality of Service Quality-of-service Requirements Sum-of-effective Rates Telecommunication Traffic Three-tier Iterative Algorithm Transmission Latency Reduction User Terminals UT Association
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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