A Distributed Opportunistic MAC Protocol for Multichannel Wireless Networks

Khanian, Zahra Baghali; Rasti, Mehdi; Salek, Farzin; Hossain, Ekram

doi:10.1109/twc.2016.2538220

Cited by 12 publications

(11 citation statements)

References 29 publications

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“…By assuming that channel state information (CSI) are available at the transmitters, the ORA protocols in [34] were shown to achieve the multiuser diversity gain without any centralized scheduling. This idea was extended to various scenarios, including slotted ALOHA random access networks with imperfect CSI [36], a scenario with discontinuous channel measurements [37], carrier sense multiple access networks [38], and multichannel wireless networks [39], [40]. Nevertheless, the single AP problem was handled in all the protocols [34]- [40]; thus, it is not straightforward to apply the idea of ORA to multicell random access networks where there exists inter-cell interference.…”

Section: A Related Workmentioning

confidence: 99%

“…In the seminal study on the ORA with one AP deployment [34], the partial CAIT and the corresponding distribution information were assumed to be available. Recently, the CAIT acquisition process was introduced for the multichannel ORA [39].…”

Section: System and Channel Modelsmentioning

confidence: 99%

“…It is worthwhile to note that since only the amplitude information (but not the phase information that needs to be estimated more accurately for satisfactory performance) is required for our protocol, the length of feedback messages can be remarkably shortened via multi-bit quantization, thus resulting in negligible protocol overheads. Inspired by [34], [35], [39], an offline channel amplitude acquisition strategy is described under our multi-AP model (i.e., our multi-cell random access model) as follows. In slotted ALOHA, each AP feeds the short signaling (0, 1, e) back to inform the belonging users of the reception status after each time slot via the downlink channel, where 0 indicates no packet reception (idle); 1 indicates reception of only one packet (i.e., successful transmission); and e indicates collision since two or more packets are transmitted simultaneously.…”

Section: System and Channel Modelsmentioning

confidence: 99%

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Interference-Aware Opportunistic Random Access in Dense IoT Networks

Lin¹,

Kim

Shin

2020

IEEE Access

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It is a challenging task to design a random access protocol that achieves the optimal throughput in multi-cell random access with decentralized transmission due to the difficulty of coordination. In this paper, we present a decentralized interference-aware opportunistic random access (IA-ORA) protocol that enables us to obtain the optimal throughput scaling in an ultra-dense multi-cell random access network with one access point (AP) and a number of users. In sharp contrast to opportunistic scheduling for cellular multiple access where users are selected by base stations, under the IA-ORA protocol, each user opportunistically transmits with a predefined physical layer (PHY) data rate in a decentralized manner if not only the desired signal power to the serving AP is sufficiently large but also the generating interference leakage power to the other APs is sufficiently small (i.e., two threshold conditions are fulfilled). As a main result, it is shown that the optimal aggregate throughput scaling (i.e., the MAC throughput of 1 e in a cell and the power gain) is achieved in a high signal-to-noise ratio regime if the number of per-cell users exceeds some level. Additionally, it is numerically demonstrated via computer simulations that under practical settings, the proposed IA-ORA protocol outperforms conventional opportunistic random access protocols in terms of aggregate throughput.INDEX TERMS Decentralized transmission, interference-aware opportunistic random access (IA-ORA), inter-cell interference, multiuser diversity, throughput scaling.Recently, the use of random access in wireless communications has received considerable attention along with the rapid development of machine-type communications (MTC) and Internet of Things (IoT) networks due to the necessity of a relatively low protocol overhead and high spectral efficiency [1], [2]. For several decades, a variety of random access protocols have been implemented based on ALOHA and its variants with carrier sensing [3]. In MTC and IoT networks, transmission activity of vast devices tends to be irregular and unpredictable with short packets [1]. Under the assumption of such a traffic pattern, instead of state-of-the-art media access control (MAC) protocols (e.g., carrier-sense multiple access with collision avoidance (CSMA/CA)), rather simple uncoordinated random accessThe associate editor coordinating the review of this manuscript and approving it for publication was Jinhwan Koh.

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Section: A Related Workmentioning

confidence: 99%

Section: System and Channel Modelsmentioning

confidence: 99%

Section: System and Channel Modelsmentioning

confidence: 99%

See 1 more Smart Citation

Interference-Aware Opportunistic Random Access in Dense IoT Networks

Lin¹,

Kim

Shin

2020

IEEE Access

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show abstract

“…However, the major limitation of this protocol is static CI and in order to overcome this, the authors [6,10] have presented a modified SMC-MAC protocol where CI is flexible and have exploited a backoff algorithm. Recent works on the advance MAC protocols are presented in [21][22][23][24][25][26]. Khanian et al [21] have proposed a distributed opportunistic MAC scheme for maximising the expected aggregate throughput of multichannel wireless network in which each user attempts to send only on its best channel.…”

Section: Cr-mac Protocolsmentioning

confidence: 99%

“…Recent works on the advance MAC protocols are presented in [21][22][23][24][25][26]. Khanian et al [21] have proposed a distributed opportunistic MAC scheme for maximising the expected aggregate throughput of multichannel wireless network in which each user attempts to send only on its best channel. The CU transmits data if the best-channel gain is greater than the given threshold, which is dynamically updated depending on previous idle and collision situations.…”

Section: Cr-mac Protocolsmentioning

confidence: 99%