Joint Resource Allocation and User Association for Heterogeneous Wireless Cellular Networks

By Dariush Fooladivanda, Catherine P. Rosenberg. IEEE Transactions on Wireless Communications, 2013

333 citations recorded by the source corpus.

How researchers see this paper

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What Will 5G Be? (2014, background): “As the densiﬁcation becomes extreme, some challenges arise: • Preserving the expected cell-splitting gains as each BS becomes more lightly loaded, particularly low-power nodes.”
A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends, and Challenges (2020, methodology): “For the same objective function and network scenario in [75], the joint optimization problem of SA and PA was studied in [76] via Karush-Kuhn-Tucker (KKT) conditions.”
Computation Offloading and Resource Allocation in Wireless Cellular Networks With Mobile Edge Computing (2017, methodology): “The transformation of the problem is composed of the following two steps: 1) Binary Variable Relaxation: In order to transform the non-convex feasible set of problem (11) into a convex set, we need to relax binary variables a and h into real value variables as 0 ≤ akn ≤ 1, 0 ≤ hkn ≤ 1 [41].”
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey (2018, background): “The joint user association and spectrum access problems are studied in [42] and [43].”
Deep Reinforcement Learning for User Association and Resource Allocation in Heterogeneous Cellular Networks (2019, background): “Joint UARA issue has been discussed in [6]–[9].”