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Journal articles on the topic 'Spatial Reuse'

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Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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1

Zhang, Yi, Wee Peng Tay, Kwok Hung Li, Moez Esseghir, and Dominique Gaiti. "Learning Temporal–Spatial Spectrum Reuse." IEEE Transactions on Communications 64, no. 7 (July 2016): 3092–103. http://dx.doi.org/10.1109/tcomm.2016.2569093.

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2

Lyu, Jiangbin, Yong Huat Chew, and Wai-Choong Wong. "Aloha Games with Spatial Reuse." IEEE Transactions on Wireless Communications 12, no. 8 (August 2013): 3932–41. http://dx.doi.org/10.1109/twc.2013.071913.121432.

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3

Chen, Xu, and Jianwei Huang. "Distributed Spectrum Access with Spatial Reuse." IEEE Journal on Selected Areas in Communications 31, no. 3 (March 2013): 593–603. http://dx.doi.org/10.1109/jsac.2013.130323.

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4

Liu, Ying, Guangqiang Shi, and Xiaomin Mu. "Dynamic Spectrum Access with Spatial Reuse." International Journal of Multimedia and Ubiquitous Engineering 11, no. 1 (January 31, 2016): 327–36. http://dx.doi.org/10.14257/ijmue.2016.11.1.31.

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5

Cho, Youngil, Kyoung Min Kim, and Tae-Jin Lee. "Air Charging Protocol With Spatial-Reuse." IEEE Wireless Communications Letters 9, no. 3 (March 2020): 298–301. http://dx.doi.org/10.1109/lwc.2019.2953067.

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6

Wilhelmi, Francesc, Sergio Barrachina-Muñoz, Cristina Cano, Ioannis Selinis, and Boris Bellalta. "Spatial Reuse in IEEE 802.11ax WLANs." Computer Communications 170 (March 2021): 65–83. http://dx.doi.org/10.1016/j.comcom.2021.01.028.

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7

Saha, Rony Kumer. "3D Spatial Reuse of Multi-Millimeter-Wave Spectra by Ultra-Dense In-Building Small Cells for Spectral and Energy Efficiencies of Future 6G Mobile Networks." Energies 13, no. 7 (April 6, 2020): 1748. http://dx.doi.org/10.3390/en13071748.

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The sixth-generation (6G) mobile networks are expected to operate at a higher frequency to achieve a wider bandwidth and to enhance the frequency reuse efficiency for improved spectrum utilization. In this regard, three-dimensional (3D) spatial reuse of millimeter-wave (mmWave) spectra by in-building small cells is considered an effective technique. In contrast to previous works exploiting microwave spectra, in this paper, we present a technique for the 3D spatial reuse of 28 and 60 GHz mmWave spectra by in-building small cells, each enabled with dual transceivers operating at 28 and 60 GHz bands, to enhance frequency reuse efficiency and achieve the expected spectral efficiency (SE) and energy efficiency (EE) requirements for 6G mobile networks. In doing so, we first present an analytical model for the 28 GHz mmWave spectrum to characterize co-channel interference (CCI) and deduce a minimum distance between co-channel small cells at both intra- and inter-floor levels in a multistory building. Using minimum distances at both intra- and inter-floor levels, we find the optimal 3D cluster size for small cells and define the corresponding 3D spatial reuse factor, such that the entire 28 and 60 GHz spectra can be reused by each 3D cluster in each building. Considering a system architecture where outdoor macrocells and picocells operate in the 2 GHz microwave spectrum, we derive system-level average capacity, SE, and EE values, as well as develop an algorithm for the proposed technique. With extensive numerical and simulation results, we show the impacts of 3D spatial reuse of multi-mmWave spectra by small cells in each building and the number of buildings per macrocell on the average SE and EE performances. Finally, it is shown that the proposed technique can satisfy the expected average SE and EE requirements for 6G mobile networks.

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8

Bauer, Sonja. "Identification of Water-Reuse Potentials to Strengthen Rural Areas in Water-Scarce Regions—The Case Study of Wuwei." Land 9, no. 12 (December 3, 2020): 492. http://dx.doi.org/10.3390/land9120492.

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Due to water scarcity, which is worsening due to climate change, rural areas often face the challenge of rural exoduses. Limited water resources restrict local farmers as the opportunities for cultivation in the fields are reduced. This makes rural areas increasingly unattractive. To strengthen rural areas, sustainable water management with a focus on water-reuse is required. Since treated wastewater is a daily resource with calculable quantities available, reused water can contribute to the sustainable strengthening of a region. Therefore, an analysis of water-reuse potentials must be conducted to develop a water-reuse concept and thus increase the application of reused water. For this purpose, a case study of Wuwei as a rural and water-scarce region in China was chosen. By using a geoinformation system, the unfulfilled water-reuse potential can be identified by intersecting the results of the analysis regarding the current water supply and disposal situation with spatial and regional information, such as population data. Hence, the study presents the potential to increase wastewater treatment and water-reuse for, e.g., agricultural irrigation. It is shown that, in the best case, reused water can be increased from 5479 m3 per day to 207,461 m3 per day. Resource efficiency can be further increased by combining water-reuse concepts with land-use strategies adapted to climate change. This will ensure a more sustainable water supply in the future.

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9

Garcia-Soidan, Pilar H., and Peter Hall. "On Sample Reuse Methods for Spatial Data." Biometrics 53, no. 1 (March 1997): 273. http://dx.doi.org/10.2307/2533113.

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10

Medra, Ahmed, and Timothy N. Davidson. "Spatial Reuse Precoding for Scalable Downlink Networks." IEEE Transactions on Signal Processing 63, no. 22 (November 2015): 5976–89. http://dx.doi.org/10.1109/tsp.2015.2461511.

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11

Kleinrock, L., and J. Silvester. "Spatial reuse in multihop packet radio networks." Proceedings of the IEEE 75, no. 1 (1987): 156–67. http://dx.doi.org/10.1109/proc.1987.13711.

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12

Wang, Xiaofei, and Toby Berger. "Spatial channel reuse in wireless sensor networks." Wireless Networks 14, no. 2 (October 9, 2006): 133–46. http://dx.doi.org/10.1007/s11276-006-8743-z.

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13

Liu, Kai, Rui Wang, Caizhao Yue, Feng Liu, Tao Lu, and Zixiang Xiong. "Interference Range-Reduced Cooperative Multiple Access with Optimal Relay Selection for Large Scale Wireless Networks." Sensors 19, no. 11 (June 5, 2019): 2565. http://dx.doi.org/10.3390/s19112565.

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Cooperative communication improves the link throughput of wireless networks through spatial diversity. However, it reduces the frequency reuse of the entire network due to the enlarged link interference range introduced by each helper. In this paper, we propose a cooperative medium access control (MAC) protocol with optimal relay selection (ORS-CMAC) for multihop, multirate large scale networks, which can reduce the interference range and improve the network throughput. Then, we investigate the performance gain achieved by these two competitive factors, i.e., the spatial frequency reuse gain and spatial diversity gain, in large scale wireless networks. The expressions of maximum network throughput for direct transmissions and cooperative transmissions in the whole network are derived as a function of the number of concurrent transmission links, data packet length, and average packet transmission time. Simulation results validate the effectiveness of the theoretical results. The theoretical and simulation results show that the helper can reduce the spatial frequency reuse slightly, and spatial diversity gain can compensate for the decrease of the spatial frequency reuse, thereby improving the network throughput from the viewpoint of the whole network.

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14

Cidon, I., L. Georgiadis, R. Guerin, and Y. Shavitt. "Improved fairness algorithms for rings with spatial reuse." IEEE/ACM Transactions on Networking 5, no. 2 (April 1997): 190–204. http://dx.doi.org/10.1109/90.588080.

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15

Papadaki, K., and V. Friderikos. "Robust scheduling in spatial reuse TDMA wireless networks." IEEE Transactions on Wireless Communications 7, no. 12 (December 2008): 4767–71. http://dx.doi.org/10.1109/t-wc.2008.070505.

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16

Nadeem, Tamer, and Lusheng Ji. "Location-Aware IEEE 802.11 for Spatial Reuse Enhancement." IEEE Transactions on Mobile Computing 6, no. 10 (October 2007): 1171–84. http://dx.doi.org/10.1109/tmc.2007.1029.

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17

Kavvada, Olga, Kara L. Nelson, and Arpad Horvath. "Spatial optimization for decentralized non-potable water reuse." Environmental Research Letters 13, no. 6 (May 18, 2018): 064001. http://dx.doi.org/10.1088/1748-9326/aabef0.

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18

Venkataraman, Hrishikesh, Gabriel-Miro Muntean, and Harald Haas. "Spatial reuse efficiency calculation for multihop wireless networks." AEU - International Journal of Electronics and Communications 64, no. 12 (December 2010): 1207–10. http://dx.doi.org/10.1016/j.aeue.2010.01.004.

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19

Kim, Jinkyeong, and Jae-Min Ahn. "Aggressive Spatial Reuse Scheme for the 802.11 Wireless LAN." Journal of Korean Institute of Communications and Information Sciences 41, no. 2 (February 29, 2016): 222–28. http://dx.doi.org/10.7840/kics.2016.41.2.222.

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20

Shao, Xiao, and Harry Leib. "Media Access with Spatial Reuse for Cooperative Spectrum Sensing." Wireless Sensor Network 09, no. 07 (2017): 205–37. http://dx.doi.org/10.4236/wsn.2017.97012.

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21

Diamant, Roee, Ghasem Naddafzadeh Shirazi, and Lutz Lampe. "Robust Spatial Reuse Scheduling in Underwater Acoustic Communication Networks." IEEE Journal of Oceanic Engineering 39, no. 1 (January 2014): 32–46. http://dx.doi.org/10.1109/joe.2013.2239812.

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22

Papanastasiou, S., and M. Ould-Khaoua. "TCP congestion window evolution and spatial reuse in MANETs." Wireless Communications and Mobile Computing 4, no. 6 (September 2004): 669–82. http://dx.doi.org/10.1002/wcm.236.

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23

Alawieh, Basel, Yongning Zhang, Chadi Assi, and Hussein Mouftah. "Improving Spatial Reuse in Multihop Wireless Networks - A Survey." IEEE Communications Surveys & Tutorials 11, no. 3 (2009): 71–91. http://dx.doi.org/10.1109/surv.2009.090306.

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24

Mueller, Joerg H., Thomas Neff, Philip Voglreiter, Markus Steinberger, and Dieter Schmalstieg. "Temporally Adaptive Shading Reuse for Real-Time Rendering and Virtual Reality." ACM Transactions on Graphics 40, no. 2 (April 27, 2021): 1–14. http://dx.doi.org/10.1145/3446790.

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Temporal coherence has the potential to enable a huge reduction of shading costs in rendering. Existing techniques focus either only on spatial shading reuse or cannot adaptively choose temporal shading frequencies. We find that temporal shading reuse is possible for extended periods of time for a majority of samples, and we show under which circumstances users perceive temporal artifacts. Our analysis implies that we can approximate shading gradients to efficiently determine when and how long shading can be reused. Whereas visibility usually stays temporally coherent from frame to frame for more than 90%, we find that even in heavily animated game scenes with advanced shading, typically more than 50% of shading is also temporally coherent. To exploit this potential, we introduce a temporally adaptive shading framework and apply it to two real-time methods. Its application saves more than 57% of the shader invocations, reducing overall rendering times up to in virtual reality applications without a noticeable loss in visual quality. Overall, our work shows that there is significantly more potential for shading reuse than currently exploited.

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25

Lee, Seung-Dae, and Yong-Chae Jung. "Spatial Reuse based on Power Control Algorithm Ad hoc Network." Journal of the Korea Academia-Industrial cooperation Society 11, no. 1 (January 31, 2010): 119–24. http://dx.doi.org/10.5762/kais.2010.11.1.119.

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26

Arun Kumar, K. L., and P. V. Nageswara Rao. "Conservative Spatial Reuse Routing in Multi-Hop Cognitive Sensor Networks." International Journal of Applied Engineering Research 12, no. 13 (August 17, 2017): 3822. http://dx.doi.org/10.37622/ijaer/12.13.2017.3822-3827.

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27

Cidon, I., and Y. Ofek. "MetaRing-a full-duplex ring with fairness and spatial reuse." IEEE Transactions on Communications 41, no. 1 (1993): 110–20. http://dx.doi.org/10.1109/26.212370.

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28

Kasbekar, Gaurav S., and Saswati Sarkar. "Spectrum Pricing Games with Spatial Reuse in Cognitive Radio Networks." IEEE Journal on Selected Areas in Communications 30, no. 1 (January 2012): 153–64. http://dx.doi.org/10.1109/jsac.2012.120114.

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29

Guo, Deke, Yuan He, Yunhao Liu, Panlong Yang, Xiang-Yang Li, and Xin Wang. "Link Scheduling for Exploiting Spatial Reuse in Multihop MIMO Networks." IEEE Transactions on Parallel and Distributed Systems 24, no. 7 (July 2013): 1355–65. http://dx.doi.org/10.1109/tpds.2012.181.

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30

Jin, Sunggeun, Munhwan Choi, Kyeongpyo Kim, and Sunghyun Choi. "Opportunistic Spatial Reuse in IEEE 802.15.3c Wireless Personal Area Networks." IEEE Transactions on Vehicular Technology 62, no. 2 (February 2013): 824–34. http://dx.doi.org/10.1109/tvt.2012.2226638.

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31

Cheng, Ray-Guang, Ruei-I. Chang, and Kuo-Lun Hua. "IWTRP: Spatial-reuse Enhancement of the Wireless Token Ring Protocol." IEEE Communications Letters 11, no. 8 (August 2007): 701–3. http://dx.doi.org/10.1109/lcomm.2007.070203.

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32

Tae-Suk Kim, Hyuk Lim, and J. C. Hou. "Understanding and Improving the Spatial Reuse in Multihop Wireless Networks." IEEE Transactions on Mobile Computing 7, no. 10 (October 2008): 1200–1212. http://dx.doi.org/10.1109/tmc.2008.51.

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33

Wang, Siyi, Weisi Guo, and Amir Jafari. "Cascade decode-and-forward: spatial diversity reuse in sensor networks." International Journal of Sensor Networks 20, no. 4 (2016): 219. http://dx.doi.org/10.1504/ijsnet.2016.076717.

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34

Grandvoinnet, Phillipe. "Sanatoriums in Europe: Build Heritage and Transformation Strategies." Cure and Care, no. 62 (2020): 44–51. http://dx.doi.org/10.52200/62.a.iyjyy4x1.

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Sanatoriums are an emblematic program of the Modern Movement in architecture. Prolifically built in Europe between 1900 and 1950, they constitute today a remarkable architectural heritage whose technical, functional and spatial qualities are well documented. Since the decline of tuberculosis after the WWII, those sanatoriums that were not demolished have been constantly transformed and reused. Although iconic sanatoriums benefited from meticulous restoration, guided by precise historical and technical knowledge, much remains to be done to explore and develop the reuse potential of these buildings.

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35

Du, Derong, Xin Jian, Xuegang Wu, Yong Tan, Xiaoping Zeng, Shijian Huang, and Yadong Li. "3D Spatial Characteristics of C-V2X Communication Interference." Electronics 8, no. 6 (June 25, 2019): 718. http://dx.doi.org/10.3390/electronics8060718.

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In C-V2X (cellular vehicle-to-everything) communication networks, dense spatial reuse of the available radio spectrum is required to achieve efficient spectral usage. Spectrum reuse causes severe network interference where signals from many undesired transmitters are aggregated at a receiver. This paper investigates the 3D spatial characteristics of C-V2X communication interference in the angular domain. A 3D GIDM (Gaussian interference distribution model) is proposed, and the corresponding interference APD (angular power density) is given. Then, the closed-form expressions of some key spatial statistics of interference are derived based on the interference APD. Finally, the closed-form expressions of the probability density function and spatial correlation function of SIR (signal–to–interference ratio) are derived based on the 3D multipath APD model and spatial statistics of the Rice channel. Simulation analysis shows that 3D spatial angular directions have significant effect on these spatial statistics of interference and the spatial correlation function of SIR. The results provide useful insight on the analysis and design of the interference-limited networks.

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36

STINE, JOHN A., GUSTAVO DE VECIANA, KEVIN H. GRACE, and ROBERT C. DURST. "ORCHESTRATING SPATIAL REUSE IN WIRELESS AD HOC NETWORKS USING SYNCHRONOUS COLLISION RESOLUTION (SCR)." Journal of Interconnection Networks 03, no. 03n04 (September 2002): 167–95. http://dx.doi.org/10.1142/s0219265902000616.

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We propose a novel medium access control protocol for ad hoc wireless networks data to send can contend simultaneously for the channel. Nodes contend for access using a synchronous signaling mechanism that achieves two objectives: it arbitrates contentions locally and it selects a subset of nodes across the network that attempt to transmit simultaneously. The subset of nodes that survive the signaling mechanism can be viewed as an orchestrated set of transmissions that are spatially reusing the channel shared by the nodes. Thus the 'quality' of the subset of nodes selected by the signaling mechanism is a key factor in determining the spatial capacity of the system. In this paper, we propose a general model for such synchronous signaling mechanisms and recommend a preferred design. We then focus via both analysis and simulation on the spatial and capacity characteristics of these access control mechanisms. Our work is unique in that it specifically focuses on the spatial capacity aspects of a MAC protocol, as would be critical for ad hoc networking, and shows SCR is a promising solution. Specifically, it does not suffer from congestion collapse as the density of contending nodes grows, it does not suffer from hidden or exposed node effects, it achieves high capacities with a spatial usage exceeding 1 (i.e. more than one packet exchange in the area covered by a transmission), and it facilitates the integration of new physical layer capacity increasing technologies.

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37

Saha, Rony Kumer. "An Overview and Mechanism for the Coexistence of 5G NR-U (New Radio Unlicensed) in the Millimeter-Wave Spectrum for Indoor Small Cells." Wireless Communications and Mobile Computing 2021 (September 10, 2021): 1–18. http://dx.doi.org/10.1155/2021/8661797.

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In this paper, we first give an overview of the coexistence of cellular with IEEE 802.11 technologies in the unlicensed bands. We then present a coexistence mechanism for Fifth-Generation (5G) New Radio on Unlicensed (NR-U) small cells located within buildings to coexist with the IEEE 802.11ad/ay, also termed as Wireless Gigabit (WiGig). Small cells are dual-band enabled operating in the 60 GHz unlicensed and 28 GHz licensed millimeter-wave (mmW) bands. We develop an interference avoidance scheme in the time domain to avoid cochannel interference (CCI) between in-building NR-U small cells and WiGig access points (APs). We then derive average capacity, spectral efficiency (SE), and energy efficiency (EE) performance metrics of in-building small cells. Extensive system-level numerical and simulation results and analyses are carried out for a number of variants of NR-U, including NR standalone, NR-U standalone, and NR-U anchored. We also analyze the impact of the spatial reuse of both mmW spectra of multiple NR-U anchored operators with a WiGig operator. It is shown that NR-U anchored provides the best average capacity and EE performances, whereas NR-U standalone provides the best SE performance. Moreover, both vertical spatial reuse intrabuilding level and horizontal spatial reuse interbuilding level of mmW spectra in small cells of an NR-U anchored can improve its SE and EE performances. Finally, we show that by choosing appropriate values of vertical and horizontal spatial reuse factors, the proposed coexistence mechanism can achieve the expected SE and EE requirements for the future Sixth-Generation (6G) mobile networks.

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38

Murugaveni, S., and K. Mahalakshmi. "Survey on Efficient Use of Spatial Reusability in Multhop Wireless Network." International Journal of Engineering & Technology 7, no. 2.24 (April 25, 2018): 431. http://dx.doi.org/10.14419/ijet.v7i2.24.12129.

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The present wireless routing protocols does not increase the end-to-end throughput by reducing the number of hops to deliver a single packet from a source to a destination node. To maintain the proper link among the nodes in multihop wireless ad-hoc networks, the medium access control (MAC) protocol plays a vital role. The spatial reuse and throughput of a multihop network is greatly affected in assessing the level of interference, channel sharing was not expeditiously utilized by the prevailing methodology of the IEEE 802.11.Routing protocols are generally depends on transmission cost, minimizing routing metrics. But they fail to give assurance for increasing end-to-end throughput. The existing protocols don't take spatial reusability of the remote correspondence media into account. This paper overviews numerous techniques to upgrade the effective channel use by enhancing the spatial reuse.

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39

Saha, Rony Kumer. "A Hybrid Interweave–Underlay Countrywide Millimeter-Wave Spectrum Access and Reuse Technique for CR Indoor Small Cells in 5G/6G Era." Sensors 20, no. 14 (July 17, 2020): 3979. http://dx.doi.org/10.3390/s20143979.

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In this paper, we propose a hybrid interweave–underlay spectrum access and reuse technique for the dynamic spectrum access and reuse of the countrywide 28 GHz millimeter-wave (mmWave) spectrum to in-building small cells of each mobile network operator (MNO) in a country. For the spectrum access, the proposed technique explores both interweave and underlay spectrum access techniques, whereas, for the spectrum reuse, it considers reusing the countrywide spectrum to each three-dimensional (3D) cluster of small cells in a building. To access the countrywide spectrum, each MNO is considered by paying a licensing fee following its number of subscribers. We present the 3D clustering of in-building of small cells and derive average capacity, spectral efficiency (SE), and energy efficiency (EE). We then perform extensive numerical and simulation results and analyses for an MNO of a country consisting of four MNOs. It is shown that, for no spectrum reuse to in-building small cells, the proposed technique improves average capacity and SE by 3.63 and 2.42 times, respectively, whereas EE improves by 72.79%. However, for vertical spatial reuse of six times (as an example) to small cells in a building, average capacity, SE, and EE improve further by 21.77 times, 14.51 times, and 95.66%, respectively. Moreover, the proposed technique can satisfy SE and EE requirements for sixth-generation (6G) mobile systems by horizontal spatial reuse of the countrywide spectrum to small cells of about 40.62%, 9.37%, and 6.25% less buildings than that required by the traditional static licensed spectrum access (SLSA) technique.

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40

Knitter, Michael, Ruediger Kays, and Wolfgang Endemann. "Transmit Power and Rate Control for Spatial Reuse in Dense Wireless LANs." International Journal of Interdisciplinary Telecommunications and Networking 13, no. 3 (July 2021): 12–32. http://dx.doi.org/10.4018/ijitn.2021070102.

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Spatial reuse is an approach to better utilize the wireless medium in dense networks. In contrast to time multiplexed channel access, the idea is to allow a certain level of interference between parallel transmitting links. Depending on transmit power and rate settings, such parallel transmissions may result in increased overall system performance. This paper presents a systematic approach to model dense networks and optimize transmit power and rate settings for best total system performance. It discusses driving factors and limitations for spatial reuse. The paper introduces two algorithms for concurrent optimal transmit power and rate selection. System simulations using a fading channel model compare the performance of the algorithms against CSMA/CA. The simulation results show that average system performance can be increased by 100% and more.

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41

Maruta, Kazuki. "Dynamic Clustering and Coordinated User Scheduling for Cooperative Interference Cancellation on Ultra-High Density Distributed Antenna Systems." Entropy 20, no. 8 (August 19, 2018): 616. http://dx.doi.org/10.3390/e20080616.

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This paper proposes dynamic clustering and user scheduling for previously conceived inter-cluster interference cancellation scheme on ultra-high density distributed antenna system (UHD-DAS). UHD-DAS is composed of one central unit (CU) and densely deployed remote radio units (RUs) serving as small cell access points. It can enhance spatial spectral efficiency by alleviating traffic load imposed per radio unit; however, intenser small cell deployment revives the inter-cell interference (ICI) problem. Cell clustering, cooperation of multiple RUs, can mitigate ICI partially, whereas inter-cluster interference (ICLI) still limits its possible capacity. Simplified ICLI cancellation based on localized RU cooperation was previously proposed to mitigate interference globally. The resolved issue is that it required frequency reuse distance to fully obtain its interference cancellation ability. This paper introduces dynamic clustering with coordinated user scheduling to ensure reuse distance without extra frequency reuse. Joint dynamic clustering and ICLI cancellation can effectively work and almost reaches ideal performance as full cooperative spatial multiplexing transmission.

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42

RAHMAN, Md Mustafizur, Choong Seon HONG, Sungwon LEE, JangYeon LEE, and Jin Woong CHO. "IP-MAC: A Distributed MAC for Spatial Reuse in Wireless Networks." IEICE Transactions on Communications E93-B, no. 6 (2010): 1534–46. http://dx.doi.org/10.1587/transcom.e93.b.1534.

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43

Jo, Ohyun, and Jungmin Yoon. "Spatial Reuse Algorithm Using Interference Graph in Millimeter Wave Beamforming Systems." ETRI Journal 39, no. 2 (April 2017): 255–63. http://dx.doi.org/10.4218/etrij.17.0116.0035.

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44

Minyoung Park and P. Gopalakrishnan. "Analysis on spatial reuse and interference in 60-GHz wireless networks." IEEE Journal on Selected Areas in Communications 27, no. 8 (October 2009): 1443–52. http://dx.doi.org/10.1109/jsac.2009.091014.

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45

Zhang, Yongning, Chadi Assi, Basel Alawieh, and Hamed Alazemi. "A Spatiotemporal Contention Resolution for Enhancing Spatial Reuse in Wireless Networks." IEEE Transactions on Vehicular Technology 60, no. 2 (February 2011): 680–91. http://dx.doi.org/10.1109/tvt.2010.2101622.

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46

Krotov, Alexander, Anton Kiryanov, and Evgeny Khorov. "Rate Control With Spatial Reuse for Wi-Fi 6 Dense Deployments." IEEE Access 8 (2020): 168898–909. http://dx.doi.org/10.1109/access.2020.3023552.

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47

Chen, J. S. C., I. Cidon, and Y. Ofek. "A local fairness algorithm for gigabit LAN's/MAN's with spatial reuse." IEEE Journal on Selected Areas in Communications 11, no. 8 (1993): 1183–92. http://dx.doi.org/10.1109/49.245907.

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48

Chang, Jaewon, Jun Heo, and Wonjin Sung. "Cooperative interference mitigation using fractional frequency reuse and intercell spatial demultiplexing." Journal of Communications and Networks 10, no. 2 (June 2008): 127–36. http://dx.doi.org/10.1109/jcn.2008.6389832.

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49

Bae, Changhun, and Wayne E. Stark. "Minimum energy-per-bit wireless multi-hop networks with spatial reuse." Journal of Communications and Networks 12, no. 2 (April 2010): 103–13. http://dx.doi.org/10.1109/jcn.2010.6391366.

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50

Chen, Qimei, Hao Jiang, and Guanding Yu. "Service Oriented Resource Management in Spatial Reuse-Based C-V2X Networks." IEEE Wireless Communications Letters 9, no. 1 (January 2020): 91–94. http://dx.doi.org/10.1109/lwc.2019.2942912.

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