Delivering QoS requirements to traffic with diverse delay tolerances in a TDMA environment

Capone, J.M.; Stavrakakis, Ioannis

doi:10.1109/90.759325

Cited by 16 publications

(10 citation statements)

References 13 publications

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“…1 Each base station has four antenna elements. For the purposes of this simulation, only two user service types are considered, e.g., voice quality and video quality.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Assuming a single signal from each mobile transmitter, the vector signal received at base station is (1) where is the array response vector from toward , and is the signal from , is the propagation delay of signal , and…”

Section: General Model and Algorithmmentioning

confidence: 99%

“…Such a network requires that different users should be provided different qualities-of-service (QoS) to accommodate their distinct service types. There has been considerable attention devoted to this subject, where the term QoS has been used as an epithet for a variety of quality measures, such as packet dropping rate [1], [2], bit-error rate [3], resolution or quantization scale [4], packet delay [1], [5], and [6], bandwidth [3], [6], and [7], or channel quality or signal-to-interference and noise ratio (SINR) [8]. In this paper, the performance index will be the SINR levels [9], [10].…”

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confidence: 99%

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Adaptive QoS for wireless multimedia networks using power control and smart antennas

Mercado

Liu

2002

IEEE Trans. Veh. Technol.

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Abstract-This paper addresses the problem of adaptive quality-of-service (QoS) for mobile multimedia services under a power controlled wireless network using smart antennas. Given the nature of multimedia, we chose the signal-to-interference and noise ratio (SINR) of each user's channel as the QoS index. We direct our attention toward two problems. The first is to increase the SINR levels for multimedia users as much as the system can provide for, under the channel fading and interference conditions. Different users have distinct desired SINR levels according to their requested service types; our algorithm uses an iterative method to drive the SINR levels as close as possible to those desired levels. The SINR levels are improved without deteriorating quality for other types of users. Simulations presented here show a significant increase in the average SINR levels for multimedia users. The second problem considered in this paper, is how to speedily initiate new users into the network by using lower complexity algorithms that yield reliable results. As shown in the simulations, our fast activation scheme can substantially reduce the time for activating new users into the system.

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“…1 Each base station has four antenna elements. For the purposes of this simulation, only two user service types are considered, e.g., voice quality and video quality.…”

Section: Simulation Resultsmentioning

confidence: 99%

Section: General Model and Algorithmmentioning

confidence: 99%

mentioning

confidence: 99%

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Adaptive QoS for wireless multimedia networks using power control and smart antennas

Mercado

Liu

2002

IEEE Trans. Veh. Technol.

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“…For wireless TDMA systems, [9] introduces scheduling policies to optimize the overall system performance, and to satisfy the maximum tolerable packet delay and dropping probability requirements. In [10], Zhuge et al propose a packet scheduling algorithm in cellular CDMA systems, which is adaptive not only to packet delay deadline required by the application, but also the deviation of data rate from its target value and the channel status variations.…”

mentioning

confidence: 99%

CPLD-PGPS scheduler in wireless OFDM systems

Diao

Shen

2006

IEEE Trans. Wireless Commun.

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“…On the other hand in works addressing packet-level QoS aspects, algorithms for applying appropriate traffic performance relation to attain QoS targets for a given population of the specified kind of users are typically not considered. In [1,3,6] considerable efforts are spent on the design of a variety of QoS strategies and mechanisms.…”

Section: Introductionmentioning

confidence: 99%

Joint Connection and Packet Level Analysis in W-CDMA Radio Interface

Benetis

Popova

Iversen

Wireless Systems and Mobility in Next Generation Internet

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Abstract. This work introduces a new analytical method for performance evaluation of wireless packet-oriented networks. Unlike traditional call admission control procedures commonly used for performance evaluation of wireless networks, this paper deals with the problem of coupling connection and packet level QoS characteristics by analysis. At connection level we use the Blocked-Calls-Cleared (BCC) model, whereas at packet level we use the Blocked-Call-Interfered (BCI) model which has no immediate feedback from packet level to connection level about lost data. At connection level we use the convolution algorithm which defines the feasible state space at packet level. At packet level we take into consideration wireless interference (soft blocking). The traffic is modeled as multi-rate Binomial-Poisson-Pascal (BPP-) traffic at connection level and on-off traffic at packet level. We obtain individual performance measures for each service, both at connection level and at packet level. By case studies we investigate the trade-off between the two levels to meet Grade of Service (GoS) requirements for cellular networks with WCDMA radio interface.

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Delivering QoS requirements to traffic with diverse delay tolerances in a TDMA environment

Cited by 16 publications

References 13 publications

Adaptive QoS for wireless multimedia networks using power control and smart antennas

Adaptive QoS for wireless multimedia networks using power control and smart antennas

CPLD-PGPS scheduler in wireless OFDM systems

Joint Connection and Packet Level Analysis in W-CDMA Radio Interface

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