Effective Capacity of Buffer-Aided Full-Duplex Relay Systems With Selection Relaying

Qiao, Deli

doi:10.1109/tcomm.2015.2497688

Cited by 29 publications

(16 citation statements)

References 37 publications

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“…Relay nodes can help source node to transmit packets to destination mode in cooperative systems [26], [27], which has been extensively studied recently. In addition, relay equipped with buffer can further improve system performance and introduce new degrees of freedom for system design [28]- [31]. In particular, various cooperative schemes have been proposed to exploit cooperative diversity for improving the physical performance [32]- [34], such as outage probability and signalto-noise ratio (SNR).…”

Section: A Related Workmentioning

confidence: 99%

Energy-Efficient Buffer-Aided Relaying Systems With Opportunistic Spectrum Access

Wang

Chen

et al. 2020

IEEE Trans. on Green Commun. Netw.

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In this paper, an energy-efficient cross-layer design framework is proposed for cooperative relaying networks, which takes into account the influence of spectrum utilization probability. Specifically, random arrival traffic is considered and an adaptive modulation and coding (AMC) scheme is adopted in the cooperative transmission system to improve the system performance. The average packet dropping rate of the relaybuffer is studied at first. With the packet dropping rate and stationary distribution of the system state, the closed-form expression of the delay is derived. Then the energy efficiency for relayassisted transmission is investigated, which takes into account the queueing process of the relay and the source. In this context, an energy efficiency optimization problem is formulated to determine the optimum strategy of power and time allocation for the relay-assisted cooperative system. Finally, the energy efficient switching strategy between the relay assisted transmission and the direct transmission is obtained, where packet transmissions have different delay requirements. In addition, energy efficient transmission policy with AMC is obtained. Numerical results demonstrate the effectiveness of the proposed design improving the energy efficiency.Index Terms-Energy efficiency and delay tradeoff, cross-layer design, opportunistic spectrum access, mode switching.

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Section: A Related Workmentioning

confidence: 99%

Energy-Efficient Buffer-Aided Relaying Systems With Opportunistic Spectrum Access

Wang

Chen

et al. 2020

IEEE Trans. on Green Commun. Netw.

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“…Rayleigh fading is more prominent when there is no line of sight communications between the transmitter and receiver. Following works [6], [23], [26], [28], [29], [31], [32], [35], [41], [44], [49], [54], [66]- [69], [73]- [75], [79], [80], [83], [84], [132]- [218], [231] consider Rayleigh fading with the EC model in different wireless networks. More prominent wireless networks that have been investigated with Rayleigh fading channels with the EC model, are CRNs, cellular networks, and cooperative networks including the FD-relay networks.…”

Section: A Stochastic Fading Modelsmentioning

confidence: 99%

“…In cellular networks, with statistical QoS provisioning, Rayleigh fading has been extensively evaluated with EC metric. In CRNs with multiple channels, prediction related to multiple interference has also been studied with Nakagami-m Networks [21], [33], [39], [57], [58], [60]- [62], [65], [77], [81], [93]- [124] Rician [42], [45], [70], [125] Log-Normal [126] Weibull [127] Generalized Fading Models [52], [128]- [131] Rayleigh Fading Channels [6], [23], [26], [28], [29], [31], [32], [35], [41], [44], [49], [54], [66]- [69], [73]- [75], [79], [80], [83], [84], [132]- [218] 2D [160] Multidimensional [219] Turbulence Model [220]- [223] Gamma Fading…”

Section: A Stochastic Fading Modelsmentioning

confidence: 99%

“…Multi-Relay Networks [146] Relaying Scheme with Modulation [150] EC Analysis With Four Retransmissions Schemes Full-Duplex Relay Networks [62] Optima Resource Allocation Three-Mode Relay Networks [255] Adaptive Relaying Buffer-Aided Three Node Relay Networks [135] EC-Analysis with Buffer Aided Relaying [174] EC-Analysis with Buffer Aided Relaying Full-Duplex Relay Networks [31] EC-Analysis with Buffer Aided Relaying Two-Hop Networks [256] Resource Allocation [257] Concurrent Relay Selection Has been proposed [151] Buffer Constraints and Throughput Has been explored Diamond Relay Networks with two Relays [258] Performance analysis with New Selection Policy [259] Performance analysis with New Selection Policy QoS-Based…”

Section: B Cooperative Networkmentioning

confidence: 99%

See 1 more Smart Citation

Effective Capacity in Wireless Networks: A Comprehensive Survey

Amjad

Musavian

Rehmani

2019

IEEE Commun. Surv. Tutorials

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Low latency applications, such as multimedia communications, autonomous vehicles, and Tactile Internet are the emerging applications for next-generation wireless networks, such as 5th generation (5G) mobile networks. Existing physicallayer channel models, however, do not explicitly consider qualityof-service (QoS) aware related parameters under specific delay constraints. To investigate the performance of low-latency applications in future networks, a new mathematical framework is needed. Effective capacity (EC), which is a link-layer channel model with QoS-awareness, can be used to investigate the performance of wireless networks under certain statistical delay constraints. In this paper, we provide a comprehensive survey on existing works, that use the EC model in various wireless networks. We summarize the work related to EC for different networks such as cognitive radio networks (CRNs), cellular networks, relay networks, adhoc networks, and mesh networks. We explore five case studies encompassing EC operation with different design and architectural requirements. We survey various delay-sensitive applications such as voice and video with their EC analysis under certain delay constraints. We finally present the future research directions with open issues covering EC maximization.

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“…Time switching policies that adapt according to energy level and data queues to optimize the network throughput have been discussed in the work of Moradian et al Kashef and Ephremides performed stability analysis of the data queues at both the source and relay employing EH. A similar work has also been reported in the work of Qiao, which uses statistical delay constraints to derive the effective capacity of the EH cooperative network.…”

Section: Introductionmentioning

confidence: 99%

On achieving throughput optimality with energy prediction–based power allocation in 5G networks

Gardazi

Ahmad

Qureshi

et al. 2018

Trans Emerging Tel Tech

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The expected presence of huge number of low data rate devices in 5G/beyond 5G networks can compromise its overall capacity and cause an increase in carbon footprint. With continuous improvement in radio access technologies, these low data rate devices can be offloaded to self sustainable small cells operating in spectrum extensions (licensed/unlicensed). To ensure self‐sustainability and end‐to‐end connectivity of these low data rate devices naturally calls for energy harvesting (EH)–based cooperative communication solution. Therefore, in this paper, we propose an energy prediction–based power allocation (EPPA) policy to improve the utilization of intermittent EH arrivals to maximize throughput. Moreover, EH predictions are obtained through the training of an M‐order Markov model, which are further used to derive estimated throughput optimal (EPPA‐NO) and suboptimal (EPPA‐I) power allocation/data rate selection policies. An EPPA‐K scheme with exact knowledge of future arrivals are used as an upper bound to benchmark the performance of EPPA‐NO and EPPA‐I in terms of throughput, delay, energy consumption per bit, and respective complexity. It is observed that the performance of these schemes is highly dependent on the prediction accuracy. To this end, we further propose a learning‐based weighted linear regression scheme. For an energy‐constrained scenario, using weighted linear regression further improves energy efficiency over EPPA‐NO and EPPA‐I and reaches within 1% of EPPA‐K for a buffer size of 700 bits.

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Effective Capacity of Buffer-Aided Full-Duplex Relay Systems With Selection Relaying

Cited by 29 publications

References 37 publications

Energy-Efficient Buffer-Aided Relaying Systems With Opportunistic Spectrum Access

Energy-Efficient Buffer-Aided Relaying Systems With Opportunistic Spectrum Access

Effective Capacity in Wireless Networks: A Comprehensive Survey

On achieving throughput optimality with energy prediction–based power allocation in 5G networks

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