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Symbols used in this article and their definitions
The set of all cells in a wireless cellular system
The set of cells that are adjacent to cell i
The set of multimedia services that are available to mobile users
The multimedia services that are available to mobile users
The set of “single mode services” that are not adaptive-rate services
The set of “dual mode full-rate services” that are adaptive-rate services, but which have not been adapted
The set of “dual mode reduced-rate services” that are adaptive-rate services, and which have been adapted
A single media stream of the “dual mode full-rate service” that can be cut into two substreams referred to as descriptions (i.e., “dual mode reduced-rate service”)
The basic bandwidth unit (BBU) of each service,
The connection time, which is the duration of the connection using service type s and an exponentially distributed random variable with mean
The residual (i.e., remaining) connection time, which is exponentially distributed with mean
The mean of t
The interboundary time, which starts at the moment cell i is entered and that is an exponentially distributed random variable with means
The mean of
The probability of attempting a handover of service type s from cell i to neighboring cell j
The occupancy vector for overall services in cell i
The number of connections using multimedia service type
in cell i
The set of all feasible m
The arrival rate of the new connection request for service type s in cell i
The probability of being in state m
in the |S|-dimensional birth–death process corresponding to cell i
The capacity for cell i
The threshold of a new connection request
The threshold of a handover request
The policy of not accepting a new user's connection request for service type s in cell i
The policy of not accepting a connection request from a handover user for service type t, which is offered to cell i from service type s in its adjacent cell
The probability of blocking connection requests for service type s in cell i of new users
The probability of dropping connection requests for service type t of handover users, which is offered to cell i from service type s in its adjacent cell
The handover rate of service type s, which is offered to cell i from its adjacent cell j
The handover rate of service type t, which is offered to cell i from service type s in its adjacent cell j
The new call arrival rates after processing the CAC policy function
The arrival rates of handover calls that are not adaptive-rate calls after processing the CAC policy function
The arrival rates of handover calls that are adaptive-rate call after processing the CAC policy function
Figure 1 shows the multirate service cellular systems used in this
study while Table 1 details some of the important symbols used in
this article. .
Wang, Jian-Hong; Pan, Jen-YiJournal: EURASIP Journal on Wireless Communications and Networking
Issue 1DOI: 10.1186/1687-1499-2012-199Published: 2012-12-01Institution(s):
National Chung Cheng University
Forced termination of connections during handover and blocked connection initiation are annoying from the perspective of multiservice cellular system users. Previous studies have shown that an admission control policy reduces the dropping probability to a much lower level but at the cost of raising the blocking probability to a higher level. As an alternative for reducing both blocking and dropping probabilities, we make use of the Adaptive Multirate (AMR) scheme, which is a well-known real-time streaming coding technique. For an example of AMR technique, a video source is encoded into multiple independent descriptions. A cellular device, depending on its available computing and network resources, joins different descriptions to meet performance requirements. The base layer is received and the enhancement layer(s) are abandoned if the cellular capacity is insufficient for high-quality video. Mobile cellular devices currently obtain basic video quality at a lower frame rate. AMR services can substantially improve the degree of user satisfaction and guarantee the connection-level quality of service (QoS) for different multimedia. In cellular systems, the QoS requirements of different services require a connection admission control (CAC) that limits the number of connections in each access network. Therefore, we focus on the CAC and connection-level QoS of multiservice traffic using adaptive coding in mobile cellular systems. We initially analyzed our CAC policy in a multiservices cellular system by formulating the CAC policy functions, arrival rate, departure rate, blocking probability, and dropping probability of the multiservices, before we derived the connection-level QoS and verified it by simulation. The adaptive coding of multiservices traffic has a significant impact on the connection-level QoS in multiservice cellular systems. Our method decreased the blocking and dropping probabilities by adapting multirate services while users were roaming. Mobile cellular operators providing AMR services could apply our CAC to fulfill the quality requirements of the user experience and also improve the connection-level QoS.
This table is from the article titled "Admission control policy for adaptive multirate multiservices in cellular systems"
(from EURASIP Journal on Wireless Communications and Networking), which is copyrighted by Wang and Pan; licensee Springer. For more information on the
copyright for this table, please refer to the full table caption and to the
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