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minimum throughput guarantee, will ful ll the needs of all time-sensitive applications On the other hand, the differentiated QoS component, such as a relative or proportional packet dropping ratio assurance, can be used as an approach to absorb the impact of time-varying wireless channel quality which cannot be determined at the time of admission control of the users, and to distribute the impact in a controlled manner among all admitted users These two components must work together and can never be independent As such, the differentiated QoS component becomes a quality measurement in meeting the guaranteed QoS component For example, a higher relative packet loss, a higher proportional delay variance, and so on, mean a lower quality in meeting an identical delay upper bound among different users.

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With the de nition given above, the compound QoS commitments proposed have the following advantages: r It provides a practical approach to dealing with the highly variable wireless channel quality As a result of the time-varying wireless channel quality, the acceptable network load before congestion occurs may vary Since the performance of differentiated QoS components are less subjective, if not completely independent of network load a compound QoS commitment allows the overall network performance to remain under control as committed while the limited resources are used to deliver the guaranteed QoS components r It has two degrees of freedom and therefore increases the exibility in committing an achievable QoS Let us assume that the performance metrics of either the guaranteed QoS commitments or the differentiated QoS commitments are represented by a single-dimensional matrix.

Then, with compound QoS commitments, the performance metrics can actually be represented by a twodimensional matrix, where the guaranteed QoS component and the differentiated QoS component are the dimensions With the two-dimensional matrix, there are more possible ways to give a QoS commitment and thus the admissibility may be improved For example, a user i that has been rejected admission when it initially requests 60 ms upper delay bound and an identical packet drop ratio as that of user j may be given admission when it requests the same upper delay bound but allows two times the packet drop ratio of user j Kong et al [47] have proposed a CEA scheduling algorithm to realize compound QoS in terms of guaranteed packet delay upper bound and proportionally differentiated packet drop ratio among different supported users.

The delay of a packet is de ned as the time between its generation at the user and its subsequent arrival at the base station in uplink transmission [47] For a user i, let Di be its target delay upper bound and Si (t) its average packet drop ratio at time t More speci cally, Si (t) is the fraction of total traf c accumulated up to time t that is dropped by user i in order to meet Di within a jumping time window ( , + Ts ] Here Ts is the time window duration such that < t + Ts Let I be the set of all users supported, and let B(t) be a subset of users in I that are backlogged and perceive a good channel state at time t The scheduling algorithm.

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10 Time (ns)

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