Effective Capacity of Two-Hop Wireless Communication Systems

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

doi:10.1109/tit.2012.2219850

Cited by 74 publications

(43 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Particularly, the proposed analysis is shown to converge to the existing results when the delay-outage constraint becomes very loose. Illustrative results are performed to demonstrate the effectiveness of the proposed QoS-aware B-HD-ALS relaying schemes over existing relaying schemes such as QoS-blind B-HD-ALS [46], QoS-aware B-HD with fixed link scheduling (B-HD-FLS) [79], and non-buffer relaying [109] under different link conditions and delay constraints.…”

Section: Resource Allocation For Buffer-aided Half-duplex Relaying Unmentioning

confidence: 99%

“…We compare the effective capacity of the proposed QoS-aware B-HD-ALS with those of the QoS-aware B-HD-FLS [79], QoS-blind B-HD-ALS [46], and non-buffer relaying [109]. We next describe these relaying schemes and present how to derive the corresponding effective capacities.…”

Section: Comparison Benchmarksmentioning

confidence: 99%

“…In the first slot of duration τ T (seconds), τ ∈ (0, 1), the source transmits packets to the relay with rate r 1 [t] and in the second slot of duration (1 − τ )T (seconds), the relay transmits its currently buffered packets to the destination with rate r 2 [t]. The effective capacity of the fixed relaying scheme with equal delay exponent θ at the source and relay is given as [79]:…”

Section: Qos-aware B-hd-flsmentioning

confidence: 99%

“…The end-to-end effective capacity is the minimum of the two. The proof can be adapted from that in [79] and is omitted for brevity. We can see that the capacity µ • either θ is close to 0, i.e., very loose delay constraints,…”

Section: Qos-blind B-hd-alsmentioning

confidence: 99%

“…Recall that, in HD relaying, the relay can only transmit or receive during a frame. With statistical CSIT, [79] proposed and analyzed the effective capacity of a B-HD relaying with fixed link scheduling (B-HD-FLS), where the source and relay alternatively transmit over transmission frames independently of the CSI. With instantaneous CSIT, [108] studied the B-HD relaying with adaptive link scheduling (B-HD-ALS) under delay-outage constraint.…”

Section: Settingsmentioning

confidence: 99%

See 4 more Smart Citations

Radio Resource Allocation Over Fading Channels Under Statistical Delay Constraints

Phan¹,

Le‐Ngoc²

2017

SpringerBriefs in Electrical and Computer Engineering

View full text Add to dashboard Cite

Wireless data transmission suffers from the fading nature of wireless channels, where the instantaneous channel conditions and hence transmission rates randomly fluctuate over time. Consequently, data arrivals at each transmitter might not be transmitted instantly. To cope with this situation, the transmitter employs buffer to store the data temporarily for later transmission. While data buffering enables more efficient radio resource allocation to opportunistically select the favorable fading conditions for transmission, it introduces queuing delay that needs to be controlled in order to meet the end-to-end delay quality-ofservice (QoS) requirements in supporting delay-sensitive communications. In this thesis, we study and develop radio resource allocation schemes for buffer-aided communications over wireless fading channels under statistical delay constraints. Using the buffering capability as a means to exploit the fading diversity, the nodes (source and relay) perform resource allocation, and adapt their transmissions to the channel state information (CSI) in order to enhance the system throughput while maintaining the statistical delay QoS requirements in terms of upper-bounded average delay or delay-outage probability.The thesis starts by considering a source-destination communications link over a fading channel with data arriving at the source transmission buffer. In the first scenario, the source is assumed to have a maximum power constraint and an average delay constraint. We consider admission control applied on random data arrivals to the source buffer in order to avoid constraint violation, and study the joint optimal data admission control and power allocation (AC-PA) problem for throughput maximization. In the second scenario, we consider an energy-harvesting (EH) source, where random amounts of energy are harvested from renewable energy sources, and stored in a battery during the course of data transmission. In every transmission time slot, the source is constrained to use at most the amount of energy currently stored. We then explore optimal power allocation problems for such EH systems under average delay or delay-outage constraints. We formulate the problems as infinite horizon constrained Markov decision process (MDP) problems, which incorporate the random variations of the fading channel, data arrival, and EH processes. A novel solution approach based on post-decision state-value function is proposed to study the properties of the optimal solutions. We also propose online allocation algorithms when the statistical knowledge of the random processes is unknown, which is typical in real-life communications. Illustrative results demonstrate the effectiveness of the proposed algorithms over existing approaches iii under similar power and delay constraints.The thesis continues with a source-relay-destination communications link over fading channels with buffers available at both source and relay, as part of a multi-hop network. We investigate and develop optimal resource allocation schemes ...

show abstract

Section: Resource Allocation For Buffer-aided Half-duplex Relaying Unmentioning

confidence: 99%

Section: Comparison Benchmarksmentioning

confidence: 99%

Section: Qos-aware B-hd-flsmentioning

confidence: 99%

Section: Qos-blind B-hd-alsmentioning

confidence: 99%

Section: Settingsmentioning

confidence: 99%

See 3 more Smart Citations

Radio Resource Allocation Over Fading Channels Under Statistical Delay Constraints

Phan¹,

Le‐Ngoc²

2017

SpringerBriefs in Electrical and Computer Engineering

View full text Add to dashboard Cite

show abstract

Statistical QoS guarantees of a device‐to‐device link assisted by a full‐duplex relay

Shah

Rahman

et al. 2021

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Device‐to‐device (D2D) communication is a promising technique to enhance the spectral efficiency for 5G and beyond cellular networks. Traditionally, D2D communication was considered solely as communication directly between two closely‐located devices, without any support from the available network infrastructure; however, this understanding limits the advantages of D2D communication. Relay‐assisted D2D communication was later proposed to allow devices to exchange data and extend coverage via relay strategy for transmission distance extension and capacity improvements. This work aims to determine the statistical quality‐of‐service (QoS) guarantees of a D2D link assisted by a full‐duplex relay by employing a commonly used analytical tool, the effective capacity (EC). We provide a closed‐form expression for the EC of relay‐assisted D2D communication, in which both the transmitter and the relay devices operate under individual QoS constraints. We also provide an analysis of the impact of mode selection on the EC of relay‐assisted D2D. Additionally, for the mode selection, we propose a novel multiple features‐based mechanism by utilizing all the features of a wireless link. We further provide a closed‐form solution for the non‐convex calibration problem of the optimal weights for these underlying features. Finally, simulation results demonstrate how the quality of self‐interference cancellation techniques impacts the EC of the relay‐assisted D2D. The results also show that the performance of our proposed mode selection mechanism with optimal weights outperforms the traditional mode selection mechanism.

show abstract

Energy‐efficient machine type communication in HetNets under statistical QoS guarantees

Waqas Haider Shah,

Qaraqe

2023

Trans Emerging Tel Tech

View full text Add to dashboard Cite

There has been an unprecedented rise in the Internet‐of‐Things (IoT) in the past decade. One of the underlying reasons for this exponential growth is that IoT allows for massive machine‐type communication (mMTC), which facilities machine‐to‐machine (M2M) communication with minimal human intervention. However, mMTC devices are characterized by resource and energy limitations, and thus require powerful and efficient power allocation methods that do not jeopardize quality‐of‐service (QoS) performance. In this work, a statistical QoS analysis of M2M communication in heterogeneous wireless networks is performed. We propose a communication mode selection (CMS) scheme that selects an uplink transmission link from the available candidate links based on pathloss criteria. The closed‐form expressions for the Effective Capacity and effective energy efficiency (Effective‐EE) of the M2M communication in the heterogeneous wireless network are derived and verified via simulations. The optimal fixed transmission rate that maximizes the Effective Capacity and Effective‐EE is also analytically analyzed. Furthermore, four scenarios are adopted to study the overall Effective Capacity and Effective‐EE of a two‐hop M2M communication link where the transmitter and access point operate under independent and identical QoS constraints. This article also investigates the impact of circuit power and the efficiency of the power amplifier on the achievable Effective‐EE of the communication link.

show abstract

Effective Capacity of Two-Hop Wireless Communication Systems

Cited by 74 publications

References 20 publications

Radio Resource Allocation Over Fading Channels Under Statistical Delay Constraints

Radio Resource Allocation Over Fading Channels Under Statistical Delay Constraints

Statistical QoS guarantees of a device‐to‐device link assisted by a full‐duplex relay

Energy‐efficient machine type communication in HetNets under statistical QoS guarantees

Contact Info

Product

Resources

About