2006 40th Annual Conference on Information Sciences and Systems 2006
DOI: 10.1109/ciss.2006.286660
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Downlink Scheduling and Resource Allocation for OFDM Systems

Abstract: Abstract-We consider scheduling and resource allocation for the downlink of a cellular OFDM system, with various practical considerations including integer carrier allocations, different subchannelization schemes, a maximum SNR constraint per tone, and "self-noise" due to channel estimation errors and phase noise. During each time-slot a subset of users must be scheduled for transmission, and the available tones and transmission power must be allocated among the selected users. Employing a gradient-based sched… Show more

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Cited by 82 publications
(71 citation statements)
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“…In our work, we consider equal power allocation across all PRBs, which has been shown to be close to optimal, as described in [4] and [5]. Unlike our work, [4] and [5] do not consider updating the weights after each PRB allocation in a given scheduling instant. A slight variant of the sequential scheduler is also described in [3].…”
Section: Introductionmentioning
confidence: 91%
See 1 more Smart Citation
“…In our work, we consider equal power allocation across all PRBs, which has been shown to be close to optimal, as described in [4] and [5]. Unlike our work, [4] and [5] do not consider updating the weights after each PRB allocation in a given scheduling instant. A slight variant of the sequential scheduler is also described in [3].…”
Section: Introductionmentioning
confidence: 91%
“…The authors of [4] and [5] have designed an optimal PRB and power allocation scheme that maximizes the weighted sum-rate at each scheduling instant. In our work, we consider equal power allocation across all PRBs, which has been shown to be close to optimal, as described in [4] and [5].…”
Section: Introductionmentioning
confidence: 99%
“…For elastic traffics, a general form of the utility function k . N ı k N d k / is the generalised a-fairness utility function [20,21], that is,…”
Section: Resource Control Frameworkmentioning
confidence: 99%
“…Under the assumption of infinite buffer size, let ı k .t/ D k .t/ and d k .t/ D 0 for all k 2 K and t 2 f0, 1, 2, g. Then, the resource allocation decision is made according to the gradient-based scheduling framework in [20,21]. In other words, such decision is the solution to…”
Section: Large Deviation Approachmentioning
confidence: 99%
“…The utility can be the function of users' throughput or the quantification of their QoS, fairness, and so on. In prior work [2], a gradient-based utility method is proposed for assuring QoS in resource allocation of OFDM-based systems. With this method, the problem appears to be a weighted sum capacity maximization problem, where the weight is determined from the instantaneous system utility in the previous time slot.…”
Section: Introductionmentioning
confidence: 99%