Throughput analysis of a CSMA based WLAN with successive interference cancellation under Rayleigh fading and shadowing

Uddin, Md. Forkan

doi:10.1007/s11276-015-1038-5

Cited by 19 publications

(4 citation statements)

References 23 publications

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“…In addition, Wang et al [13] used the signal transfer function to generate a probability distribution of the MAC access delay in IEEE 802.11b and used Markov chain to model the exponential process of backoff. Uddin et al [14] adopted the Rayleigh fading and shadowing propagation model to obtain explicit expression for the distribution, standardized deviation and mean of the MAC access delay. It is approved that a condensed powerlaw tail is included in the distribution when there is a limit of retransmission while a heavy-tailed delay distribution for unlimited retransmission is induced by the binary exponential backoff mechanism.…”

Section: Related Workmentioning

confidence: 99%

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On MAC Access Delay Distribution for IEEE 802.11p Broadcast in Vehicular Networks

Yao

Yang

et al. 2019

IEEE Access

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The inter-vehicle safety communication is generally considered as a promising technology to significantly enhance road safety. In fact, a lot of communications about inter-vehicle safety have realtime, rigorous requirements on broadcast messages in order to make sure that drivers have sufficient time for reaction towards emergencies. The procedure of the control for medium access is of significance for the delay-constrained communication systems. Therefore, in-depth investigation should be conducted for IEEE 802.11p covering the MAC and PHY protocol. Nonetheless, most existing studies only focus on the average delay analysis that includes insufficient information of inter-vehicle communications' real capacity. So as to evaluate the single-hop broadcast's performance under 802.11p, an analytical model is put forward in this paper. Both of simulation and real-world experiment results indicate that our model accurately estimates the probability distribution, deviation and mean of the MAC access delay. In addition, it can be proved that exponential distribution can be a good approximation to the distribution of MAC access delay with the usage of the K-S test. With such observation, it is convenient for us to conduct an analysis on the queuing delay in the MAC layer. As shown by the numerical analysis, the support of QoS in 802.11p provides sound guarantee about performance for higher priority messages. However, it cannot meet the real-time requirement of the applications with lower priority. INDEX TERMS DSRC, IEEE 802.11p, MAC access delay, safety communications, vehicular ad hoc networks.

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Section: Related Workmentioning

confidence: 99%

“…TR (z) = z T tr (14) Let H i (z) be the average time's PGF that the backoff counter reduces by one of ACi. It will be blocked for the T tr + AIFS[i] period when another transmission can be identified.…”

Section: Mac Access Delay Analysismentioning

confidence: 99%

On MAC Access Delay Distribution for IEEE 802.11p Broadcast in Vehicular Networks

Yao

Yang

et al. 2019

IEEE Access

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“…We notice that the average throughput of the network declines with the increase in distance and decrease in transmission power (Pt), as exhibited in Figure 3(a). This is understandable according to the path-loss model where the path loss increases with distance and the effect of the log-normal shadowing involves a fluctuation of the time of the received power, which can further degrade the performance of the communication [44,45]. Due to this fluctuation, the received power may go below the Receiver Sensitivity (Rs) (-95 dBm), thus the CU considers the received signal as noise that leads to a lower throughput.…”

Section: Link Analysis Between the End-device And The Central Entitymentioning

confidence: 99%

A performance investigation on IoT enabled intra-vehicular wireless sensor networks

Rahman¹,

Ali²,

Kabir³

et al. 2017

Int. J. Automot. Mech. Eng.

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The concept of Internet of Things (IoT) can be utilised in vehicles, since the number of sensor nodes in vehicles is rising tremendously because of the uplifting demand of applications for security, safety and convenience. In order to establish the communication among these nodes inside a vehicle, a controller area network with wired architecture provides a prominent solution. However, this solution is not flexible because of the architectural complexity and the demand for a large number of sensors inside the vehicle; hence wired architectures are replaced by wireless ones. Moreover, scalability will be an important issue while introducing the IoT concept in Intra-Vehicular Wireless Sensor Networks (IVWSNs). In this paper, a comprehensive performance investigation on the IoT enabled IVWSNs (IoT-IVWSNs) to be carried out in order to address this issue. The overview of the IoT-IVWSNs with a comparative study of the existing technologies and the design challenges for such network are provided. The link design between an enddevice and the control unit is analysed, and the performance of the network has been investigated and some open research issues are addressed. It reveals that the delay in packet transmission increases due to higher traffic loads and the number of end-devices. This result demonstrates that the existing MAC protocol works well for a small network (i.e., a network with a maximum number of 50 nodes) but is not suitable for a large network (i.e., a network with more than 50 nodes). The outcome of this research helps to design a smart car system.

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“…In [23], a k-SIC MAC protocol is proposed which the devices are divided into 2k groups using different carrier sensing thresholds for scheduling up to k devices simultaneously. In [24], an analytical model is developed to compute the average throughput of a device in a WLAN with the SIC technique in presence of pathloss, Rayleigh fading and log-normal shadowing. In [25], the authors propose a SIC-aware CSMA MAC protocol for uplink access which the AP waits to receive requests from a certain number of devices and then selects the highest number of potential devices for uplink data transmission.…”

Section: Introductionmentioning

confidence: 99%

Scalability Improvement of IEEE 802.11ah IoT Networks

Naghzali

Kazeminia

Mehrjoo

2022

Wireless Pers Commun

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In this paper, we propose a non-orthogonal multiple access (NOMA) based grouping method for IEEE 802.11ah, a promising platform for the internet of things (IoT). The grouping method improves the scalability of IoT networks, by reducing collisions in the access points (APs). The proposed method puts those IoT devices (IoT-Ds) whose channel gains are far enough from each other, i.e., who satisfy NOMA constraints, in the same group. Therefore, using successive interference cancellation (SIC), the AP is able to decode the simultaneous signal transmissions from IoT-Ds in a group. To assign IoT-Ds into groups and determine their transmission power, we formulate a total throughput maximization problem as a joint optimal grouping and power allocation problem, which is a non-convex mixed-integer programming problem. We convert it to a convex problem using quadratic fractional programming (QFP), and then we solve it using augmented Lagrange multiplier (ALM) method. Moreover, to reduce the complexity of the solution, we propose a fast grouping method to allocate power to each group in parallel. Simulation results show that the proposed methods have outstanding performance compared to conventional association identifier (AID)-based grouping method; besides, scalability of the network in terms of throughput, power consumption and channel utilization improves dramatically because of the collision reduction of IoT-Ds, which is achieved by deploying NOMA and SIC. Furthermore, the fast grouping method decreases the computational complexity greatly at the expense of a small reduction in network performance.

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Throughput analysis of a CSMA based WLAN with successive interference cancellation under Rayleigh fading and shadowing

Cited by 19 publications

References 23 publications

On MAC Access Delay Distribution for IEEE 802.11p Broadcast in Vehicular Networks

On MAC Access Delay Distribution for IEEE 802.11p Broadcast in Vehicular Networks

A performance investigation on IoT enabled intra-vehicular wireless sensor networks

Scalability Improvement of IEEE 802.11ah IoT Networks

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