Energy Efficiency of Fixed-Rate Wireless Transmissions under Queueing Constraints and Channel Uncertainty

Qiao, Deli; Gursoy, M. Cenk; Velipasalar, Senem

doi:10.1109/glocom.2009.5425824

Cited by 6 publications

(13 citation statements)

References 17 publications

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“…The application and analysis of effective capacity in various settings have attracted much interest [25][26][27][28][29][30][31][32], where the authors focused on the problem of resource allocation in the presence of statistical QoS constraints. In [29], energy efficiency was investigated under QoS constraints by analyzing the normalized effective capacity in the low-power and wideband regimes. The authors in [28] studied the effective capacity of a class of multiple-antenna wireless systems subject to Rayleigh flat fading.…”

Section: Literature Reviewmentioning

confidence: 99%

Capacity optimization for radio resource allocation in cognitive networks

Elalem¹

2021

Preprint

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With the rapid development of wireless services and applications, the currently radio spectrum is becoming more crowded. How to accommodate more wireless services and applications within the limited radio spectrum becomes a big challenge faced by modern society. Cognitive radio (CR) is proposed as a promising technology to tackle this challenge by introducing secondary users (SUs) to opportunistically or concurrently access the spectrum allocated to primary users (PUs). Currently, there are two prevalent CR models: the spectrum sharing model and the opportunistic spectrum access model. In the spectrum sharing model, the SUs are allowed to coexist with the PUs as long as the interferences from SUs do not degrade the quality of service (QoS) of PUs to an unacceptable level. In the opportunistic spectrum access model, SUs are allowed to access the spectrum only if the PUs are detected to be inactive. These two models known as underlay and overlay schemes, respectively. This thesis studies a number of topics in CR networks under the framework of these two schemes. First, studied cognitive radio transmissions under QoS delay constraints. Initially, we focused on the concept: effective capacity for cognitive radio channels in order to identify the performance in the presence of QoS constraints. Both underlay and overlay schemes are studied taking into consideration the activity of primary users, and assuming the general case of channel fading as Gamma distribution. For this setting, we further proposed a selection criterion by which the cognitive radio network can choose the adequate mode of operation. Then, we studied the cognitive radio transmissions focusing on Rayleigh fading channel and assumed that no prior channel knowledge is available at the transmitter and the receiver. We investigated the performance of pilot-assisted transmission strategies. In particular, we analyzed the channel estimation using minimum mean-square-error (MMSE) estimation, and analyzed efficient resource allocation strategies. In both cases, power allocations and effective capacity optimization were obtained. Effective capacity and interference constraint were analyzed in both single-band and multi-band spectrum sensing settings. Finally, we studied optimal access probabilities for cognitive radio network using Markov model to achieve maximum throughput for both CR schemes.

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Section: Literature Reviewmentioning

confidence: 99%

Capacity optimization for radio resource allocation in cognitive networks

Elalem¹

2021

Preprint

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“…Another key characteristic of wireless communications that highly affect the performance of 5G networks, is the energy efficiency (EE) due to the limited energy resources in energy-constraint networks [32], [33]. EE which has been widely studied recently literatures, is defined as the ratio of successfully transmitted bits to the total consumed energy [34], [35].…”

Section: Energy Efficiency Of Cooperative Communicationmentioning

confidence: 99%

Performance analysis of ultra-reliable short message decode and forward relaying protocols

Nouri

Alves

2018

J Wireless Com Network

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Machine-type communication (MTC) is a rapidly growing technology which covers a broad range of automated applications and propels the world into a fully connected society. Two new use cases of MTC are massive MTC (mMTC) and ultra-reliable low latency communication (URLLC), where mMTC supports a large number of devices with high reliability and low rate connectivity while URLLC refers to excessively low outage probability under very stringent latency constraint. Herein, we examine the URLLC through three cooperative schemes, namely dual-hop decode and forward, selection combining, and maximum ratio combining, and compare to direct transmission under Rayleigh fading. We compare the performance of studied cooperative protocols under two distinct power constraints with respect to latency and energy efficiency. Moreover, we illustrate the impact of coding rate on the probability of successful transmission in ultra-reliable region in addition to the effect of power allocation on the outage probability. We also provide the performance analysis of cooperative schemes in terms of energy efficiency and latency requirements.

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“…The expression inside the expectation in (20) is obtained by evaluating the expected value of e −θR i for fixed |h| 2 . Finally, (12) is obtained by normalizing (20) by m to have the effective rate in the units of bits per channel use, and by dropping the time index i.…”

Section: Effective Throughput With Finite Blocklength Codesmentioning

confidence: 99%

“…Recently, there has been much interest in the analysis of the effective capacity of fading channels (see e.g., [5] - [12]) in order to identify the performance of wireless systems operating under statistical queueing constraints. However, in almost all prior studies, the service rates of the queueing model (or equivalently the instantaneous transmission rates over the wireless channel) are assumed to be equal to the instantaneous capacity values although channel coding is performed using a finite block of symbols.…”

Section: Introductionmentioning

confidence: 99%

Throughput analysis of buffer-constrained wireless systems in the finite blocklength regime

Gursoy

2013

J Wireless Com Network

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In this paper, a single point-to-point wireless link operating under queueing constraints in the form of limitations on the buffer violation probabilities is considered. The achievable throughput under such constraints is captured by the effective capacity formulation. It is assumed that finite blocklength codes are employed for transmission. Under this assumption, a recent result on the channel coding rate in the finite blocklength regime is incorporated into the analysis, and the throughput achieved with such codes in the presence of queueing constraints and decoding errors is identified. The performance of different transmission strategies (e.g., variable-rate, variable-power, and fixed-rate transmissions) is studied. Interactions and tradeoffs between the throughput, queueing constraints, coding blocklength, decoding error probabilities, and signal-to-noise ratio are investigated, and several conclusions with important practical implications are drawn.

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Energy Efficiency of Fixed-Rate Wireless Transmissions under Queueing Constraints and Channel Uncertainty

Cited by 6 publications

References 17 publications

Capacity optimization for radio resource allocation in cognitive networks

Capacity optimization for radio resource allocation in cognitive networks

Performance analysis of ultra-reliable short message decode and forward relaying protocols

Throughput analysis of buffer-constrained wireless systems in the finite blocklength regime

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