Considerations on the multiplexing and diversity tradeoff in IEEE 802.11 networks

To determine the optimal network architecture between the Basic Service Set, the Extended Service Set and the Independent Basic Service Set, this study established a new algorithm to assess Voice over Internet Protocol (VoIP) metrics of different IEEE 802.11 technologies. An important coefficient for each VoIP metric parameter has been invented to rank the different IEEE 802.11 standards and to identify the most efficient one for the VoIP application. The best overall network performance that offers good voice quality is ensured by determining the optimum network architecture and technology. Moreover, for the VoIP efficiency parameters, it meets the acceptance threshold values. This algorithm was implemented in different sizes of rooms ranging from 1 × 1 m to 10 × 10 m, and the number of nodes varied from 1 to 65. End to end delay, jitter, throughput and packet loss were the quality of service parameters used.

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“…The main component of 802.11 WLAN is BSS [22]. BSS is a wireless network operated by a central coordination or access point (AP) system.…”

Section: Infrastructure Of Ieee Networkmentioning

confidence: 99%

An Algorithmic Approach to Identify the Optimum Network Architecture and WLAN Protocol for VoIP Application

Ali

Dhimish

Alsmadi

et al. 2021

Wireless Pers Commun

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“…IEEE 802.11 standard does not support time-sensitive voice applications but only best-effort services. After several refinements and with the increasing call for real-time multimedia applications, a new amendment named IEEE 802.11e was designed (Babich, Comisso, & Crismani, 2014).…”

Section: Preliminaries 21 Ieee Mac Layer Technologiesmentioning

confidence: 99%

Algorithmic Identification of the Best WLAN Protocol and Network Architecture for Internet-Based Applications

Ali

Dhimish

Alsmadi

et al. 2020

J. Info. Know. Mgmt.

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This research developed a novel algorithm to evaluate internet-based services such as VoIP, Video Conferencing, HTTP and FTP, of different IEEE 802.11 technologies in order to identify the optimum network architecture among Basic Service Set (BSS), Extended Service Set (ESS) and the Independent Basic Service Set (IBSS). The proposed algorithm will yield the rank order of different IEEE 802.11 technologies. By selecting the optimum network architecture and technology, the best overall network performance that provides good voice, video and data quality is guaranteed. Furthermore, it meets the acceptance threshold values for the VoIP, Video Conferencing, HTTP and FTP quality metrics. This algorithm was applied to various room sizes ranging from [Formula: see text][Formula: see text]m to [Formula: see text][Formula: see text]m and the number of nodes ranged from 1 to 65. The spatial distributions considered were circular, uniform and random. The Quality of Service (QoS) metrics used were delay, jitter, throughput and packet loss.

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“…al. [7] have presented a study on the multiplexing and diversity tradeoff in IEEE 802.11 networks through an analytical model. In their analysis, the network topology follows a destination centric approach, where both the source node and interferers are randomly located within a circle that has the destination node at its center.…”

Section: Related Workmentioning

confidence: 99%

“…In fact, as far as research on multi-antenna ad hoc networks is concerned, a significant body of work has already been done on the use of beamforming techniques (i.e., the so-called directional antennas) [2,3]. However, the study of MIMO ad hoc networks that exploit diversity and/or multiplexing gains still deserves further investigation, since the bulk of previous work has either focused on fully-connected and collision-free scenarios [4,5,6,7], or have assumed simple abstractions to represent MIMO behavior at the PHY layer [8,9,10].…”

Section: Introductionmentioning

confidence: 99%

Joint Spatial Multiplexing and Transmit Diversity in MIMO Ad Hoc Networks

Firyaguna¹,

Christofaro²,

Andrade³

et al. 2017

Preprint

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This paper investigates the performance of MIMO ad hoc networks that employ transmit diversity, as delivered by the Alamouti scheme, and/or spatial multiplexing, according to the Vertical Bell Labs Layered Space-Time system (V-BLAST). Both techniques are implemented in a discrete-event network simulator by focusing on their overall effect on the resulting signal-to-interference-plus-noise ratio (SINR) at the intended receiver. Unlike previous works that have studied fully-connected scenarios or have assumed simple abstractions to represent MIMO behavior, this paper evaluates MIMO ad hoc networks that are not fully connected by taking into account the effects of multiple antennas on the clear channel assessment (CCA) mechanism of CSMA-like medium access control (MAC) protocols. In addition to presenting a performance evaluation of ad hoc networks operating according to each individual MIMO scheme, this paper proposes simple modifications to the IEEE 802.11 DCF MAC to allow the joint operation of both MIMO techniques. Hence, each pair of nodes is allowed to select the best MIMO configuration for the impending data transfer. The joint operation is based on three operation modes that are selected based on the estimated SINR at the intended receiver and its comparision with a set of threshold values. The performance of ad hoc networks operating with the joint MIMO scheme is compared with their operation using each individual MIMO scheme and the standard SISO IEEE 802.11. Performance results are presented based on MAC-level throughput per node, delay, and fairness under saturated traffic conditions.

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Considerations on the multiplexing and diversity tradeoff in IEEE 802.11 networks

Cited by 9 publications

References 25 publications

An Algorithmic Approach to Identify the Optimum Network Architecture and WLAN Protocol for VoIP Application

An Algorithmic Approach to Identify the Optimum Network Architecture and WLAN Protocol for VoIP Application

Algorithmic Identification of the Best WLAN Protocol and Network Architecture for Internet-Based Applications

Joint Spatial Multiplexing and Transmit Diversity in MIMO Ad Hoc Networks

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