Resource Allocation and Quality of Service Evaluation for Wireless Communication Systems Using Fluid Models

Liu, Lingjia; Parag, Parimal; Tang, Jia; Chen, Wei-Yu; Chamberland, Jean-François

doi:10.1109/tit.2006.894682

Cited by 102 publications

(68 citation statements)

References 28 publications

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“…Hence, effective data rate is zero and information has to be resent. We assume that a simple automatic repeat request (ARQ) mechanism is incorporated in the communication protocol to acknowledge the reception of data and to ensure that the erroneous data is retransmitted [6]. Fig.…”

Section: System Modelmentioning

confidence: 99%

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Energy Efficiency of Fixed-Rate Wireless Transmissions under QoS Constraints

Qiao

Gursoy

Velipasalar

2009

2009 IEEE International Conference on Communications

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Abstract-1 Transmission over wireless fading channels under quality of service (QoS) constraints is studied when only the receiver has perfect channel side information. Being unaware of the channel conditions, transmitter is assumed to send the information at a fixed rate. Under these assumptions, a two-state (ON-OFF) transmission model is adopted, where information is transmitted reliably at a fixed rate in the ON state while no reliable transmission occurs in the OFF state. QoS limitations are imposed as constraints on buffer violation probabilities, and effective capacity formulation is used to identify the maximum arrival rate that a wireless channel can sustain while satisfying statistical QoS constraints. Energy efficiency is investigated by obtaining the minimum bit energy and wideband slope expressions in both low-power and wideband regimes. The increased energy requirements due to the presence of QoS constraints are quantified. Comparisons with variable-rate/fixed-power and variable-rate/variable-power cases are given. Overall, an energydelay tradeoff for fixed-rate transmission systems is provided.I. INTRODUCTION Efficient use of limited energy resources is of paramount importance in most wireless systems. From an informationtheoretic perspective, the energy required to reliably send one bit is a metric that can be adopted to measure the energy efficiency. Generally, energy-per-bit requirement is minimized, and hence the energy efficiency is maximized, if the system operates in the low-power or wideband regimes. Recently, Verdú in [1] has determined the minimum bit energy required for reliable communications over a general class of channels, and studied the spectral efficiency-bit energy tradeoff in the wideband regime.While providing powerful results, information-theoretic studies generally do not address delay and quality of service (QoS) constraints [2]. However, the impact upon the queue length and queueing delay of transmission using codes with large blocklength, which are required to achieve the information-theoretic performance limits, can be significant. Situation is even further exacerbated in wireless channels in which the ergodic capacity has an operational meaning only if the codewords are long enough to span all fading states. Hence, in slow fading environments, large delays can be experienced in order to achieve the ergodic capacity. Due to these considerations, performance metrics such as capacity versus outage [3] and delay limited capacity [4] have been considered in the literature for slow fading scenarios.

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Section: System Modelmentioning

confidence: 99%

“…Effective capacity formulation uses the large deviations theory and incorporates the statistical QoS constraints by capturing the rate of decay of the buffer occupancy probability for large queue lengths. The analysis and application of effective capacity in various settings has attracted much interest recently (see e.g., [6]- [8]). …”

mentioning

confidence: 99%

Energy Efficiency of Fixed-Rate Wireless Transmissions under QoS Constraints

Qiao

Gursoy

Velipasalar

2009

2009 IEEE International Conference on Communications

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“…Communication of delay-sensitive bits over wireless channels has been addressed under various assumptions and settings in works such as [3]- [8]. Often, asymptotic approximations are employed to enable tractable analysis of the problem.…”

Section: A Prior Work and Our Contributionmentioning

confidence: 99%

“…8 Remark 2: It is straight forward to show that Λ is convex and Λ ′ (0) = λ (see [14,Lemma 1.11]). Note that λ describes how close the average bit-arrival rate is to the asymptotic approximation of the ergodic capacity of the channel.…”

Section: B Smoothly-scaling Bit-arrival Processmentioning

confidence: 99%

“…Proof: See Appendix I. 8 [14] A function f : R → R * is essentially smooth if the interior of its effective domain D = {x : f (x) < ∞} is non-empty, if it is differentiable in the interior of D and if f is steep, which means that for any sequence θn which converges to a boundary point of D, then limn→∞ |f ′ (θn)| = +∞. f is lower-semicontinuous if its level sets {x : f (x) ≤ α} are closed for α ∈ R.…”

Section: ) Motivation For Smoothly-scaling Assumptionmentioning

confidence: 99%

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High-SNR Analysis of Outage-Limited Communications With Bursty and Delay-Limited Information

Elia

Javidi

2009

IEEE Trans. Inform. Theory

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Abstract-This work analyzes the high-SNR asymptotic error performance of outage-limited communications with fading, where the number of bits that arrive at the transmitter during any time slot is random but the delivery of bits at the receiver must adhere to a strict delay limitation. Specifically, bit errors are caused by erroneous decoding at the receiver or violation of the strict delay constraint. Under certain scaling of the statistics of the bit-arrival process with SNR, this paper shows that the optimal decay behavior of the asymptotic total probability of bit error depends on how fast the burstiness of the source scales down with SNR. If the source burstiness scales down too slowly, the total probability of error is asymptotically dominated by delay-violation events. On the other hand, if the source burstiness scales down too quickly, the total probability of error is asymptotically dominated by channel-error events. However, at the proper scaling, where the burstiness scales linearly with 1 √ log SNR and at the optimal coding duration and transmission rate, the occurrences of channel errors and delay-violation errors are asymptotically balanced. In this latter case, the optimal exponent of the total probability of error reveals a tradeoff that addresses the question of how much of the allowable time and rate should be used for gaining reliability over the channel and how much for accommodating the burstiness with delay constraints.

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