2014
DOI: 10.1109/tcomm.2014.2328338
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Energy-Efficient Uplink Resource Allocation in LTE Networks With M2M/H2H Co-Existence Under Statistical QoS Guarantees

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Cited by 124 publications
(83 citation statements)
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“…They propose two heuristic algorithms based on the steepest descent approach to solve the optimization problem. Aijaz et al [72] further extend [71] by introducing the notion of statistical QoS (i.e., probability of exceeding a specific delay threshold) and solve the optimization problem with canonical duality theory (CDT).…”
Section: Radio Resource Allocation and Packet Scheduling Strategiesmentioning
confidence: 99%
“…They propose two heuristic algorithms based on the steepest descent approach to solve the optimization problem. Aijaz et al [72] further extend [71] by introducing the notion of statistical QoS (i.e., probability of exceeding a specific delay threshold) and solve the optimization problem with canonical duality theory (CDT).…”
Section: Radio Resource Allocation and Packet Scheduling Strategiesmentioning
confidence: 99%
“…Conclusion by statistical knowledge: if the n independent random variables are subject to Gaussian distribution, is that the sum of the squares of the N random variables to degrees of freedom for N card distribution [13]. When the average N random variables not zero, they pose of the sum of the squares of the chisquare random variables are subject to the center.…”
Section: The Sensor Network Spectrum Detectionmentioning
confidence: 99%
“…The authors in [11] have proposed a delay QoS provision algorithm, which evolved an effective capacity model to capture the effect of channel fading on the queuing behavior of the link in wireless OFDM networks. The authors in [12] have investigated the resource allocation scheme for the uplink of the LTE network under statistical delay QoS guarantees. However, the previous works about resource allocation under statistical delay guarantees in RF-OFDM systems adopted the centralized scheme and required a coordinator with powerful functionality, which conflicts with the low-complexity design idea of coordinator in local area networks.…”
Section: Introductionmentioning
confidence: 99%
“…Although gradient-based approaches have been proposed to solve the convex optimization problem, these schemes show many defects [12] such as oscillatory behavior, sensitivity to choice of initial values, etc. In our research, we target to support heterogeneous statistical delay QoS constraints, which inevitably aggravate the oscillatory behavior of gradient-based techniques.…”
Section: Introductionmentioning
confidence: 99%