Integrating data traffic into a CDMA cellular voice system

Capone, J.M.; Merakos, Lazaros

doi:10.1007/bf01985752

Cited by 22 publications

(7 citation statements)

References 6 publications

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“…If a voice call is accepted, a voice source is described by the well known ON-OFF model shown in Fig. 1, [5], [7], [8]. The ON state represents a voice source in a talkspurt mode (a voice source is active, i.e., a user is speaking) while the OFF state represents a silence period during conversation.…”

Section: B Voice Traffic Modelmentioning

confidence: 99%

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Approximate performance analysis of heavily loaded slotted downlink channel in a wireless CDMA system supporting integrated voice/data services

Świderski

2005

IEEE Trans. Wireless Commun.

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This paper is concerned with the performance analysis of a slotted downlink channel in a wireless code division multiple access (CDMA) communication system with integrated packet voice/data transmission. The system model consists of a base station (BS) and mobile terminals (MT), each of which is able to receive voice and/or data packets. Packets of accepted voice calls are transmitted immediately while accepted multipacket data messages are initially buffered in first in, first out (FIFO) queues created separately for each destination. The BS distinguishes between silence and talkspurt periods of voice sources, so that packets of accepted data messages can use their own codes for transmission during silent time slots. To fulfill QoS requirements for both traffic types, the number of simultaneous packet transmissions over the downlink channel must be limited. To perform this task, a fair, single-priority multiqueueing scheduling scheme is employed. Discrete-time Markov processes are used to model the system operation. Statistical dependence between queues is the main difficulty which arises during the analysis. This dependence leads to serious computational complexity. The aim of this paper is to present an approximate analytical method which enables one to evaluate system performance despite the dependence. Therefore, it is assumed that the system is heavily loaded with data traffic, and a heuristic assumption is made that makes the queueing analysis computationally tractable. Typical system performance measures (i.e., the data message blocking probability, the average data throughput and delay) are evaluated, however, due to the accepted heuristic assumption, the analysis is approximate and that is why computer simulation is used to validate it.Index Terms-Code division multiple access (CDMA), personal communication systems, queueing analysis, voice and data integration. NOMENCLATUREProcessing gain of the CDMA system. Slot duration [ms]. Number of MTs accepting data number of queues at the BS. Number of CDMA codes used simultaneously (in the same time slot). Number of nonempty queues in time slot . Number of queues which can be served simultaneously in the same time slot . Voice/data packet length [bits].

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Section: B Voice Traffic Modelmentioning

confidence: 99%

“…Other simulation results are shown in [8]. On the other hand, [5]- [7] and [9] present different analytical approaches to obtain typical performance characteristic such as the blocking probability of voice calls, the average data packet/message throughput and delay (in general, a data message consists of a number of fixed-length data packets).…”

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confidence: 98%

Approximate performance analysis of heavily loaded slotted downlink channel in a wireless CDMA system supporting integrated voice/data services

Świderski

2005

IEEE Trans. Wireless Commun.

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“…In [4] the transmission of powers and rates of the NRT terminals are controlled by the network congestion level. In [5] the transmission rates of NRT terminals are controlled so that the interference of NRT terminals to RT ones remains below a given threshold. In [6] the probabilities of transmission of NRT users depend on the current or estimated state of the system.…”

Section: State-of-the-artmentioning

confidence: 99%

Opportunistic scheduling using cognitive radio

Döhler

Ghorashi

Ghozzi

et al. 2006

Comptes Rendus. Physique

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Traditional cognitive approaches based on interference scanning discard a certain communication band once interference is detected, irrespective of the temporal characteristics of the interference. The aim of this article is to alert the community that interference exhibits temporal fluctuations, which can be exploited by a cognitive radio in an opportunistic manner. To this end, we present some mathematical approaches that describe the temporal behaviour of interference signals obeying a lognormal shadowing distribution. We derive some key quantities, such as throughput, for an example hierarchical cell structure configuration of a microcell hotspot being operated within a macrocell using the same frequency band. To cite this article: M.

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“…On the other hand, for a data traffic higher packet delays are allowed (i.e., packets are allowed to be buffered) and much lower PER is required. In most papers on voice and data integration in CDMA systems call admission control for the uplink channel is analyzed [4][5][6][7][8][9][10]. In [4][5][6][7][8], silence/talkspurt period detection of the voice traffic is included in system models, while in [9,10] speech activity is omitted.…”

Section: Introductionmentioning

confidence: 99%

“…In most papers on voice and data integration in CDMA systems call admission control for the uplink channel is analyzed [4][5][6][7][8][9][10]. In [4][5][6][7][8], silence/talkspurt period detection of the voice traffic is included in system models, while in [9,10] speech activity is omitted. A downlink slotted CDMA channel transmitting voice and data traffic is considered in [11].…”

Section: Introductionmentioning

confidence: 99%

Approximate performance analysis of slotted downlink channel in a wireless CDMA system supporting integrated voice and data services

Świderski

2004

JTIT

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This paper is concerned with the performance analysis of a slotted downlink channel in a wireless CDMA communication system with integrated packet voice and data transmission. The system model consists of mobile terminals (MT) and a single base station (BS). It is assumed that the voice (data) packet error rate (PER) does not exceed 10-2 (10-5). With this requirement the number of simultaneous transmissions over the downlink channel is limited. Therefore, the objective of the call admission control is to restrict the maximum number of CDMA codes available to voice and data traffic. Packets of accepted voice calls are transmitted immediately while accepted data packets are initially buffered at the BS. This station distinguishes between silence and talkspurt periods of voice sources, so that data packets can use their own codes for transmission during silent time slots. Data packets are buffered in queues created separately for each destination. Discrete-time Markov processes are used to model the system operation. Statistical dependence between queues is the main difficulty which arises during the analysis. This dependence leads to serious computational complexity. The aim of this paper is to present an approximate analytical method based on the restricted occupancy urn model which enables to evaluate system performance despite the dependence. Numerical calculations compared with simulation results show excellent agreement for the average system throughput and the blocking probability of data packets for higher system loads. On the other hand, when the average data packet delay is considered, analytical results underestimate simulation and therefore only approximate system performance evaluation is possible.

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Integrating data traffic into a CDMA cellular voice system

Cited by 22 publications

References 6 publications

Approximate performance analysis of heavily loaded slotted downlink channel in a wireless CDMA system supporting integrated voice/data services

Approximate performance analysis of heavily loaded slotted downlink channel in a wireless CDMA system supporting integrated voice/data services

Opportunistic scheduling using cognitive radio

Approximate performance analysis of slotted downlink channel in a wireless CDMA system supporting integrated voice and data services

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