An optimized scheduling scheme in OFDMA WiMax networks

SUMMARY The transport mapping layer (TML) scheduling model in forwarding and control element separation (ForCES) system is important because it not only should be able to process the messages with different priorities but also can solve the fairness and robustness problems in network element level. In this paper, a two‐stage scheduling scheme with strict priority and general processor share scheduling is proposed. In a stochastic network calculus framework and on the basis of moment‐generating functions, bounds on average backlogs and delays of all channels are derived. The performance solving approach presented in this paper is quite general and practical, and the results may be used in other fields easily, without limiting ForCES CE TML. Numerical examples are presented to test the bounds, which show the scheduling scheme is practical and well suited for CE TML requirements. Copyright © 2013 John Wiley & Sons, Ltd.

Section: Performance Of Gps and Sp Schedulingmentioning

confidence: 99%

“…Assume further that the parameters of the three classes' arrival process are in Table II. Then, r can be obtained by using Equation (30).…”

Section: General Evaluationmentioning

confidence: 99%

Scheduling model and performance analysis in transport mapping layer of control element in forwarding and control element separation system

Zhang

Wang

2013

“…Thus, it is important to take into account the polling mechanisms and also the scheduling mechanisms to guarantee the QoS for the applications. However, most of the previous works [12][13][14][15], take into account only the scheduling mechanisms. The scheduling algorithm proposed in our work differs from these previous works mainly because it interacts with the polling mechanisms aiming at adjusting the polling interval dynamically.…”

Section: Related Workmentioning

confidence: 99%

Adaptive packet scheduling for the uplink traffic in IEEE 802.16e networks

Teixeira

Guardieiro

2012

SUMMARYIEEE 802.16e is a telecommunication standard technology designed to support a wide variety of multimedia applications. It defines five service classes, each one with its respective QoS requirements, but does not define the scheduling algorithm for these service classes. In this paper, an adaptive packet scheduling algorithm for the uplink traffic in IEEE 802.16e networks is proposed. This algorithm is designed to be completely dynamic, mainly in networks that use various modulation and coding schemes (MCSs). The algorithm is applied directly to the bandwidth request queues in the base station (BS) and aims at supporting the real‐time and non‐real‐time applications. Using a cross‐layer approach and the states of the bandwidth request queues in the BS, a new deadlines based scheme was defined, aiming at limiting the maximum delay to the real‐time applications. Moreover, this algorithm interacts with the polling management mechanisms of the BS and controls the periodicity of sending unicast polling to the real‐time and non‐real‐time service connections, in accordance with the QoS requirements of the applications. The proposed algorithm was evaluated by means of modeling and simulation in environments where various MCSs were used and also in environments where only one type of modulation was used. The simulations showed satisfactory results in both environments. Copyright © 2012 John Wiley & Sons, Ltd.

“…Although arrays with stationary beams and multiple stationary beams will be discussed in this text, the primary emphasis will be on those arrays that are scanned electronically [1][2][3][4]. The network can be that of any of the wireless communication technologies such as global system for mobile communications, code division multiple access, wireless local loop, WAN, WiFi, and WiMAX [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Phased arrays in communication system based on Taguchi‐neural networks

Smida

Ghayoula

Nemri

et al. 2013

SUMMARY Phased antenna array design is one of the most important electromagnetic optimization problems. This research combined the Taguchi method and artificial intelligence methods, used them as the prediction tool in designing parameters for the communication system, and then constructed a set of the optimal parameter analysis flow and steps. In this paper, we present an application of artificial neural networks in the electromagnetic domain. We particularly look at the multilayer perceptron network, which has been the most used of artificial neural networks architectures both in the electromagnetic domain and in the Taguchi optimization technique and describes the Taguchi method to optimize the excitations elements of the linear array to produce a radiation pattern with minimum side lobe level and null placement control. This paper investigates how the implementation of the signal processing in hardware affects the performance of the adaptive array antenna. The investigation is confined to uplink or receive antenna array only. Results of a prototype of antenna array with feeding values designed using the proposed techniques are also presented. Copyright © 2013 John Wiley & Sons, Ltd.