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In this paper we propose AAC Low Delay codecs with 1024-sample window (23ms delay) and Ultra Low Delay codecs with 512-sample window which gives delay about 12ms.
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Although many approaches in the literature are used to judge the stability, our approach, among others, in addition to determining whether the system (1.1) is exponentially stable, also gives delay-dependent estimates of solutions in terms of the norms and even in the case of instability.
The expected RA delay is kept within a given delay limit.
The class 2 applications need their data to be served within a given delay constraint.
These applications require the packets to be transmitted inside a given delay bound.
The maximum throughput and the optimal time resource allocation are then determined for a given delay constraint and traffic requirements.
From this bound, according to (24), the optimal transmission power for a given delay constraint,, is derived as (28).
It also can be seen that for a given delay constraint and for moderate values of system false alarm probability, the model 1 outperforms model 2.
As its dual problem, effective capacity defines the maximum rate the channel can support while guaranteeing a given delay QoS requirement in terms of QoS exponent θ>0.
Furthermore, a more aggressive AMC design can be employed to maximize the bandwidth efficiency when the redundant packet transmissions are permitted within the given delay constraint.
The presented results show that, for a given delay, our algorithm produces FBs with significantly better properties than the near-orthogonal FBs.
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