Efficient interference-aware power control in wireless ad hoc networks

Yao, Junmei; Lou, Wei; Yang, Chao; Wu, Kaishun

doi:10.1109/icc.2017.7997363

Cited by 7 publications

(6 citation statements)

References 16 publications

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“…Due to the scarcity of wireless resources, how to effectively utilize wireless resources is the most popular research issue. Currently, many state-of-the-art extensions to traditional DCF have been proposed to mitigate cochannel interference in dense WLANs, such as cochannel concurrency transmission [6,[9][10][11][12] and transmission power control (TPC) [13][14][15][16]. In [9], Vutukuru et al propose CMAP algorithm to build a conflict map for each node by using empirical observations of packet loss and the map differentiating manner between interfering and noninterfering links.…”

Section: Related Workmentioning

confidence: 99%

“…Nevertheless, it brings high extra overhead when the network topology changes frequently. In [11], they further propose an Interference-Aware Power Control (IAPC) protocol to avoid interference by transmitting CTS and 2…”

Section: Related Workmentioning

confidence: 99%

“…end if (9) end if (10) end for (11) Wireless Communications and Mobile Computing where E [X] is the expectation of X. Let P s denote the probability of successful transmission for legacy DCF; that is, 1) .…”

Section: Roughputmentioning

confidence: 99%

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SDN-Based Centralized Downlink Scheduling with Multiple APs Cooperation in WLANs

Lei

Wang

Xia

2019

Wireless Communications and Mobile Computing

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Conventional DCF and RTS/CTS mechanisms perform the channel contention by a distributed and independent manner, which can lead to severe cochannel interference and low channel utilization in multiple APs dense deployment scenario. In this paper, we propose a channel scheduling cooperation algorithm called CCT-SDN (centralized concurrent transmission based on SDN) that enables multiple APs (Access Points) to perform cooperatively a centralized downlink transmission control, thus achieving higher system throughput and channel utilization by avoiding cochannel interference and implementing concurrent transmission. This design inherits the merit of the conventional distributed random channel access and adopts standardized OpenFlow protocol and Software Defined Network (SDN) architecture to make a centralized concurrent downlink traffic transmission decision among APs. Meanwhile, we also present a novel neighborhood relation storage scheme called SPRIM to enhance the retrieving efficiency of SDN controller, which enables CCT-SDN to perform a real-time control. Moreover, we also develop a theoretical model to prove the improvement of CCT-SDN. Furthermore, our solution does not require any modifications to existing ubiquitous 802.11 terminal devices and thus is likely to be widely deployed. Finally, extensive simulation results on Mininet-WiFi verify that CCT-SDN can achieve significant performance in terms of aggregate throughput, channel utilization, and packet loss rate in different deployment scenarios.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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SDN-Based Centralized Downlink Scheduling with Multiple APs Cooperation in WLANs

Lei

Wang

Xia

2019

Wireless Communications and Mobile Computing

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“…(i) Avoid Interference and Exploit Concurrency. Many current strategies leverage the technology of cross correlation to recover the control information under interferences so as to coordinate between nodes [12][13][14][15][16][17]. In these protocols, authors carefully design some known symbol sequences to convey the control information and conduct the cross correlation between the received signal and the known sequences to determine which sequence is received, so as to obtain the control information under interferences, as shown in Figure 7.…”

Section: Survey On Crossmentioning

confidence: 99%

Revisiting of Channel Access Mechanisms in Mobile Wireless Networks through Exploiting Physical Layer Technologies

Yao

Yue

et al. 2018

Wireless Communications and Mobile Computing

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The wireless local area networks (WLANs) have been widely deployed with the rapid development of mobile devices and have further been brought into new applications with infrastructure mobility due to the growth of unmanned aerial vehicles (UAVs). However, the WLANs still face persistent challenge on increasing the network throughput to meet the customer’s requirement and fight against the node mobility. Interference is a well-known issue that would degrade the network performance due to the broadcast characteristics of the wireless signals. Moreover, with infrastructure mobility, the interference becomes the key obstacle in pursuing the channel capacity. Legacy interference management mechanism through the channel access control in the MAC layer design of the 802.11 standard has some well-known drawbacks, such as exposed and hidden terminal problems, inefficient rate adaptation, and retransmission schemes, making the efficient interference management an everlasting research topic over the years. Recently, interference management through exploiting physical layer mechanisms has attracted much research interest and has been proven to be a promising way to improve the network throughput, especially under the infrastructure mobility scenarios which provides more indicators for node dynamics. In this paper, we introduce a series of representative physical layer techniques and analyze how they are exploited for interference management to improve the network performance. We also provide some discussions about the research challenges and give potential future research topics in this area.

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“…In CSMA-based wireless networks, the interference range is set equal to the carrier sensing range [4,6,9,20]. Several works [2,4,[21][22][23] set the interference range by restricting the signal-to-interference-and-noise ratio (SINR) to a threshold. In their works, only one interference transmitter is considered when calculating the SINR.…”

Section: Introductionmentioning

confidence: 99%

Optimal interference range for minimum Bayes risk in binomial and Poisson wireless networks

Ouyang

Shi

Zhang

et al. 2019

J Wireless Com Network

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Interference is the main performance-limiting factor in most wireless networks. Protocol interference model is extensively used in the design of wireless networks. However, the setting of interference range, a crucial part of the protocol interference model, is rather heuristic and remains an open problem. In this paper, we use the stochastic geometry and the direct approach to obtain the associated feasibility distributions. After that, we use the binary hypothesis testing to achieve the Bayes risk under binomial point process (BPP) and Poisson point process (PPP), respectively. According to the first derivative of the Bayes risk, we provide the equation to achieve the optimal interference range for minimum Bayes risk. We extend the method proposed by Wildman et al. to a more general situation. Furthermore, we show that for infinite PPP, those two methods converge to the same results. Several numerical results for wireless networks under BPP, finite PPP, and infinite PPP are given. Simulation results show that in the finite wireless network, the BPP method performs better than the PPP method.

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Efficient interference-aware power control in wireless ad hoc networks

Cited by 7 publications

References 16 publications

SDN-Based Centralized Downlink Scheduling with Multiple APs Cooperation in WLANs

SDN-Based Centralized Downlink Scheduling with Multiple APs Cooperation in WLANs

Revisiting of Channel Access Mechanisms in Mobile Wireless Networks through Exploiting Physical Layer Technologies

Optimal interference range for minimum Bayes risk in binomial and Poisson wireless networks

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