2012
DOI: 10.1587/elex.9.679
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Characterization of effective capacity in AF relay systems

Abstract: Abstract:In this paper, effective capacity in amplify-and-forward (AF) relaying system is studied. For this purpose, a closed-form solution for the effective capacity of AF relays with a near optimal power allocation is extracted.

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Cited by 8 publications
(7 citation statements)
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“…Using the Lagrangian optimization method [40], the problem can be solved and µ opt 0 is derived. However, applying the Lagrange method in the optimization problem of (10), a high non-linear equation of µ opt 0 is obtained and extraction of a closed-form solution for µ opt 0 is not possible [30]. Therefore, we continue with a novel approximation and replace µ 0 at the denominator of (10) by its average E{µ 0 } = 1.…”
Section: Power Allocation Strategymentioning
confidence: 99%
See 1 more Smart Citation
“…Using the Lagrangian optimization method [40], the problem can be solved and µ opt 0 is derived. However, applying the Lagrange method in the optimization problem of (10), a high non-linear equation of µ opt 0 is obtained and extraction of a closed-form solution for µ opt 0 is not possible [30]. Therefore, we continue with a novel approximation and replace µ 0 at the denominator of (10) by its average E{µ 0 } = 1.…”
Section: Power Allocation Strategymentioning
confidence: 99%
“…Here, we study the power allocation of AF successive relays for effective capacity maximization. The effective capacity is more general than the ergodic capacity which is defined as a maximum constant arrival rate with the delay quality-of-service (QoS) guarantee [30]- [33]. Then, the allocated power is derived under short-term and long-term IRI constraints and compared with different allocation techniques with different QoS requirements.…”
Section: Introductionmentioning
confidence: 99%
“…In our case, c (m) q is directly calculated with discrete convolution. c (0) = 1, and c (1) can be defined as…”
Section: A Receive Antenna Selectionmentioning
confidence: 99%
“…The authors assume a Gaussian distribution for the accumulated service rate of the channel, which leads to a solution for the effective capacity of the channels. Following these basic researches, the effective capacity has been conducted in various communication links such as rate and power adoption in single-input single-output (SISO) and multiple-input multiple-output (MIMO) systems [5]- [6], antenna selection (AS) MIMO systems [7]- [8] and cooperative and cognitive radio channels in [9]- [10].…”
Section: Introductionmentioning
confidence: 99%