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In addition to the user download delay, we also concern about the caching cost in the cache-enabled HetNet.
In this paper, we consider the joint user association and content placement problem in cache-enabled HetNets and define a utility function as the weighted sum of user download delay and caching cost; the joint user association and cache content placement problem is then formulated as a network utility minimization problem.
To analyze the trade-off between caching cost and transmission cost, we present a mathematical model and show that service cost can be minimized by adjusting offset time according to the network characteristics.
Stressing the tradeoff between user download delay and caching cost, we introduce the concept of utility function which characterizes the joint network performance as the weighted sum of user download delay and the caching cost and formulate the joint user association and cache content placement problem as a network utility optimization problem.
Stressing the tradeoff between user download delay and caching cost, we characterize the joint network performance as the weighted sum of user download delay and the caching cost via applying the concept of utility function and formulate the joint user association and content placement problem as a network utility minimization problem.
In [9], the potential of forward caching in 3G cellular networks is explored, and the authors develop a caching cost model to realize the tradeoffs between deploying forward caching at different levels in the 3G network hierarchy.
Similar(49)
We also develop a cache replacement scheme to improve caching cost-effectiveness inside floating circles.
The utility function for each player is defined as the utility obtained by providing the services for others, which is related to the prices, caching costs with respect to content popularity, demands and fraction of content stored.
Some works present their own optimization objectives, such as the utility function illustrating the amount of bits delivered to users by a certain SBS in [4], the utility function specifying the utility related to the prices, caching costs, demands and fraction of content stored in [96].
For the proposed cache management framework, we first formulate an optimization problem to minimize the network bandwidth cost and cache cost by jointly considering caching strategy and content routing with LNC.
This is because the cache cost decreases with the decrease of unit price of caching contents at GAPs, resulting in smaller network utility.
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