2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) 2018
DOI: 10.1109/ants.2018.8710110
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QoS Aware Channel Selection and Power Allocation for Device-to-Device Communication

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Cited by 4 publications
(2 citation statements)
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“….Iterative combinatorial auction is used ensure QoS and increase EE . Coalition Game and whale optimization algorithm to optimize power allocation and system throughout .Stackelberg game with pricing is used to allocate channel and power to D2D pairs while ensuring QoS .Iterative matching-stackelberg game exploited to maximize D2D throughput [31] Non linear Programing Joint power control and resource scheduling scheme for underlay D2D networks to enhance: .Maximize network throughput and users' fairness [32] Non linear convex optimization QoS aware Channel assignment and Power control for uplink D2D Communication is proposed: .Maximize D2D sum rate .Minimize D2D-to-cellular interference .Applied convex optimization for D2D pairs to control interference [45] Centralized non linear optimization Bee Life Algorithm is proposed resource allocation and power control for D2D Communication .To optimize channel and power allocation .To find optimal solution via a diversified global search among all possible solutions .To escape a stagnation on local optimal by applying a biological process inspired by the bees' marriage behavior [50] Centralized MINP Soft frequency reuse based resource allocation algorithm is developed to: .Adopt power control and alleviates interference .Use both licensed and unlicensed band for D2D [65] Centralized non linear optimization Proposed quantum coral reefs algorithm .For joint resource and power allocation.…”
Section: Inband and Outband Approachmentioning
confidence: 99%
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“….Iterative combinatorial auction is used ensure QoS and increase EE . Coalition Game and whale optimization algorithm to optimize power allocation and system throughout .Stackelberg game with pricing is used to allocate channel and power to D2D pairs while ensuring QoS .Iterative matching-stackelberg game exploited to maximize D2D throughput [31] Non linear Programing Joint power control and resource scheduling scheme for underlay D2D networks to enhance: .Maximize network throughput and users' fairness [32] Non linear convex optimization QoS aware Channel assignment and Power control for uplink D2D Communication is proposed: .Maximize D2D sum rate .Minimize D2D-to-cellular interference .Applied convex optimization for D2D pairs to control interference [45] Centralized non linear optimization Bee Life Algorithm is proposed resource allocation and power control for D2D Communication .To optimize channel and power allocation .To find optimal solution via a diversified global search among all possible solutions .To escape a stagnation on local optimal by applying a biological process inspired by the bees' marriage behavior [50] Centralized MINP Soft frequency reuse based resource allocation algorithm is developed to: .Adopt power control and alleviates interference .Use both licensed and unlicensed band for D2D [65] Centralized non linear optimization Proposed quantum coral reefs algorithm .For joint resource and power allocation.…”
Section: Inband and Outband Approachmentioning
confidence: 99%
“…Therefore, it is more efficient to reuse uplink resources. As can be seen from Table 11, most papers in the literature formulated their system models assuming that D2D communications share the uplink spectrum resource only [9,12,16,32,41], while a few papers [13,34,43,94,95] formulated their model considering the downlink spectrum resource.…”
Section: Problem Type Solution Approach and System Characteristicsmentioning
confidence: 99%