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Mobile Networks and Applications
Erschienen in: Mobile Networks and Applications 5/2020

17.06.2020

Survey on Wireless Networks Coexistence: Resource Sharing in the 5G Era

verfasst von: Ali Mamadou Mamadou, Joël Toussaint, Gérard Chalhoub

Erschienen in: Mobile Networks and Applications | Ausgabe 5/2020

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Abstract

The next generation of mobile-enabled wireless networks, known as 5G networks, is announced to be deployed by 2020. In the 5G framework, access technologies are one of the main features that would allow users to seamlessly connect to the Internet using any of the available technologies. These technologies are going to coexist in the same physical environment. This coexistence has the advantage of offering the user multiple options for establishing communications. On the other hand, existing and upcoming wireless standards have not given this coexistence enough attention. In this paper, we survey existing communication protocols, techniques and mechanisms, as well as features of the 5G communication standards that allow technology to cope well with coexistence. We focus on access layer solutions that can be used in unlicensed frequency bands. We also argue that resource sharing should be extended not only to manage the available spectrum but also the available physical systems. We argue in this paper that resource sharing mechanisms would have a positive impact on the 5G infrastructure for better spectrum efficiency.
Vorheriger Artikel Editorial: Emerging Networking Technology for Internet of Things
Nächster Artikel Survey and Perspective on Extremely High Throughput (EHT) WLAN — IEEE 802.11be

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Literatur
1.
2.
Gohil A, Modi H, Patel SK (2013) 5G technology of mobile communication: a survey. In: 2013 International conference on intelligent systems and signal processing (ISSP), pp 288–292
3.
Agiwal M, Roy A, Saxena N (2016) Next generation 5G wireless networks: a comprehensive survey. IEEE Commun Surv Tutor 18(3):1617–1655. ISSN 1553-877XCrossRef
4.
5.
6.
7.
Contreras-Castillo J, Zeadally S, Guerrero Ibànez JA (2017) A seven-layered model architecture for Internet of Vehicles. J Inf Telecomm 1(1):4–22
8.
9.
10.
11.
Feng J, Liu Z, Wu C, Ji Y (2019) Mobile edge computing for the internet of vehicles: offloading framework and job scheduling. IEEE Veh Technol Mag 14(1):28–36. ISSN 1556-6072CrossRef
12.
Marinho J, Monteiro E (2012) Cognitive radio: survey on communication protocols, spectrum decision issues, and future research directions. Wirel Netw 18(2):147–164. ISSN 1572- 8196CrossRef
13.
Yucek T, Arslan H A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Commun Surv Tutor 11(1):116–130, First 2009. ISSN 1553-877X
14.
Cormio C, Chowdhury KR (2009) A survey on mac protocols for cognitive radio networks. Ad Hoc Netw 7(7):1315–1329. ISSN 1570-8705CrossRef
15.
Omer AE (2015) Review of spectrum sensing techniques in Cognitive Radio networks. In: 2015 International conference on computing, control, networking, electronics and embedded systems engineering (ICCNEEE), pp 439–446
16.
Routray SK, Sharmila KP (2017) Software defined networking for 5G. In: 2017 4th international conference on advanced computing and communication Systems (ICACCS), pp 1–5
17.
Borcoci E, Obreja S, Vochin M (2017) Internet of vehicles functional architectures-comparative critical study. In: The ninth international conference on advances in future internet, AFIN, pp 10–14
18.
Chekired DA, Togou MA, Khoukhi L (2018) Hierarchical wireless vehicular fog architecture: a case study of scheduling electric vehicle energy demands. IEEE Veh Technol Mag 13(4):116–126. ISSN 1556-6072CrossRef
19.
20.
Urkowitz H (1967) Energy detection of unknown deterministic signals. Proc IEEE 55(4):523–531. ISSN 0018-9219CrossRef
21.
Song C, Alemseged YD, Tran HN, Villardi G, Sun C, Filin S, Harada H (2010) Adaptive two thresholds based energy detection for cooperative spectrum sensing. In: 2010 7th IEEE consumer communications and networking conference, pp 1–6
22.
Digham FF, Alouini M, Simon MK (2007) On the energy detection of unknown signals over fading channels. IEEE Trans Commun 55(1):21–24. ISSN 0090-6778CrossRef
23.
Goudarzi S, Hassan W H, Anisi M H, Soleymani A (2015) A comparative review of vertical handover decision-making mechanisms in heterogeneous wireless networks. Indian J Sci Technol 8(23):1–20CrossRef
24.
Zenaldan F, Hassan S, Habbal A (2017) Vertical handover in wireless heterogeneous networks. J Telecommun Electron Comput Eng (JTEC) 9(1–2):81–85
25.
De Domenico A, Calvanese Strinati E, Di Benedetto M (2012) A survey on MAC strategies for cognitive radio networks. IEEE Commun Surv Tutor 14(1):21–44. ISSN 1553-877XCrossRef
26.
Lien S, Tseng C, Chen K (2008) Carrier sensing based multiple access protocols for cognitive radio networks. In: 2008 IEEE international conference on communications, pp 3208–3214
27.
28.
Cordeiro C, Challapali K (2007) C-MAC: a cognitive MAC protocol for multi-channel wireless networks. In: 2007 2nd IEEE international symposium on new frontiers in dynamic spectrum access networks, pp 147–157
29.
Farago A, Myers AD, Syrotiuk VR, Zaruba GV (2000) Meta-MAC protocols: automatic combination of MAC protocols to optimize performance for unknown conditions. IEEE J Sel Areas Commun 18(9):1670–1681. ISSN 0733-8716CrossRef
30.
Doerr C, Neufeld M, Fifield J, Weingart T, Sicker DC, Grunwald D (2005) MultiMAC—an adaptive MAC framework for dynamic radio networking. In: First IEEE international symposium on new frontiers in dynamic spectrum access networks, 2005. DySPAN 2005, pp 548–555
31.
Kim T-S, Park T, Sha M, Lu C (2012) Toward MAC protocol service over the air. In: 2012 IEEE global communications conference (GLOBECOM), pp 451–457
32.
Qiao M, Zhao H, Wang S, Wei J (2016) MAC protocol selection based on machine learning in cognitive radio networks. In: 2016 19th international symposium on wireless personal multimedia communications (WPMC), pp 453–458
33.
Demirors E, Sklivanitis G, Melodia T, Batalama SN (2015) RcUBe: real-time reconfigurable radio framework with self-optimization capabilities. In: 2015 12th annual IEEE international conference on sensing, communication, and networking (SECON). IEEE, pp 28–36
34.
Yau S, Ge L, Hsieh P-C, Hou I-H, Cui S, Kumar PR, Ekbal A, Kundargi N (2015) WiMAC: rapid implementation platform for user definable MAC protocols through separation. ACM SIGCOMM Comput Commun Rev 45(4):109–110CrossRef
35.
Jooris B, Bauwens J, Ruckebusch P, De Valck P, Van Praet C, Moerman I, De Poorter E (2016) Taisc: a cross-platform mac protocol compiler and execution engine. Comput Netw 107:315–326CrossRef
36.
Isolani PH, Claeys M, Donato C, Granville LZ, Latré S (2018) A survey on the programmability of wireless MAC protocol. IEEE Commun Surv Tutor 1–1. ISSN 1553-877X
37.
Steenkiste P, Nychis G, Seshan S (2009) Enabling mac protocol implementations on software-defined radios. In: Proceedings of the 6th USENIX symposium on networked systems design and implementation
38.
39.
40.
Khorov E, Kiryanov A, Lyakhov A, Bianchi G (2018) A tutorial on IEEE 802.11ax high efficiency WLANs. IEEE Commun Surv Tutor 1–1. ISSN 1553-877X
41.
Valkanis A, Iossifides A, Chatzimisios P, Angelopoulos M, Katos V (2019) IEEE 802.11 ax spatial reuse improvement: an interference-based channel-access algorithm. IEEE Veh Technol Mag 14(2):78–84CrossRef
42.
IEEE Standard Association (2019) P802.11ax/D4.0—IEEE draft standard for information technology—Telecommunications and information exchange between systems local and metropolitan area networks—-Specific requirements part 11: wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications amendment enhancements for high efficiency WLAN. https://​ieeexplore.​ieee.​org/​document/​8672643
43.
44.
IEEE Standard Association (2016) IEEE standard for information technology-telecommunications and information exchange between systems-local and metropolitan area networks-specific requirements-part 11: wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications: Amendment 2: Sub 1 GHz License Exempt Operation. https://​standards.​ieee.​org/​standard/​802_​11ac-2013.​html
45.
Khorov E, Lyakhov A, Krotov A, Guschin A (2015) A survey on IEEE 802.11ah: an enabling networking technology for smart cities. Comput Commun 58:53–69. ISSN 0140-3664. Special Issue on Networking and Communications for Smart CitiesCrossRef
46.
Ahmed N, Rahman H, Hussain MdI (2016) A comparison of 802.11ah and 802.15.4 for IoT. ICT Express 2(3):100–102. ISSN 2405-9595. Special Issue on ICT Convergence in the Internet of Things (IoT)CrossRef
47.
48.
Wang X, Mao S, Gong MX (2016) A survey of Lte Wi-Fi coexistence in unlicensed bands. GetMobile 20:17–23CrossRef
49.
Mukherjee A, Cheng J, Falahati S, Koorapaty H, Kang DH, Karaki R, Falconetti L, Larsson D (2016) Licensed-assisted access LTE: coexistence with IEEE 802.11 and the evolution toward 5G. IEEE Commun Mag 54(6):50–57. ISSN 0163-6804CrossRef
50.
LTE Forum (2015) LTE-U CSAT Procedures TS v1.0
51.
52.
53.
Mehrnoush M, Patidar R, Roy S, Henderson T (2018) Modeling, simulation and fairness analysis of Wi-Fi and unlicensed LTE coexistence. arXiv preprint arXiv:1805.​03011
54.
Molina-Masegosa R, Gozalvez J (2017) LTE-V for Sidelink 5G V2X vehicular communications: a new 5g technology for short-range vehicle-to-everything communications. IEEE Veh Technol Mag 12(4):30–39. ISSN 1556-6072CrossRef
55.
Nabil A, Kaur K, Dietrich C, Marojevic V (2018) Performance analysis of sensing-based semi-persistent scheduling in C-V2X networks. In: 2018 IEEE 88th vehicular technology conference (VTC-Fall), pp 1–5
56.
Yang D, Xu Y, Gidlund M (2011) Wireless coexistence between IEEE 802.11-and IEEE 802.15. 4-based networks: a survey. Int J Distrib Sens Netw 7(1):912152CrossRef
57.
58.
Orfanidis C, Feeney L M, Jacobsson M, Gunningberg P (2017) Investigating interference between LoRa and IEEE 802.15.4g networks. In: 2017 IEEE 13th international conference on wireless and mobile computing, networking and communications (WiMob). IEEE, pp 1–8
59.
Yi P, Iwayemi A, Zhou C (2010) Frequency agility in a ZigBee network for smart grid application. In: 2010 Innovative Smart Grid Technologies (ISGT), pp 1–6
60.
Zeadally S, Siddiqui F, Baig Z (2019) 25 years of Bluetooth technology. Future Internet 11(9):194CrossRef
61.
So J, Kim Y (2016) Interference-aware frequency hopping for Bluetooth in crowded Wi-Fi networks. Electron Lett 52(17):1503–1505CrossRef
62.
Sun W, Koo J, Byeon S, Park W, Lim S, Ban D, Choi S (2017) BlueCoDE: Bluetooth coordination in dense environment for better coexistence. In: 2017 IEEE 25th International conference on network protocols (ICNP). IEEE, pp 1–10
63.
Lee J (2019) Multichannel WPAN protocol for coexistence under densely deployed Bluetooth LE in ISM. IEEE Trans Veh Technol 68(8):8103–8116CrossRef
64.
65.
Wetherall DJ, Tanenbaum AS (2010) RFID and sensor networks. Computer Networks, 5th edn, pp 73–75
66.
Tang Z, He Y (2007) Research of multi-access and anti-collision protocols in RFID systems. In: 2007 international workshop on anti-counterfeiting, security and identification (ASID), pp 377–380
67.
68.
69.
70.
71.
72.
73.
Xu T, Zhang M, Zeng Y, Hu H (2019) Harmonious coexistence of heterogeneous wireless networks in unlicensed bands: solutions from the statistical signal transmission technique. IEEE Veh Technol Mag 14(2):61–69CrossRef
74.
Hur S, Kim T, Love DJ, Krogmeier JV, Thomas TA, Ghosh A (2013) Millimeter wave beamforming for wireless backhaul and access in small cell networks. IEEE Trans Commun 61(10):4391–4403CrossRef
75.
Barati CN, Hosseini SA, Mezzavilla M, Korakis T, Panwar SS, Rangan S, Zorzi M (2016) Initial access in millimeter wave cellular systems. IEEE Trans Wirel Commun 15(12):7926– 7940CrossRef
76.
Abdullah NF, Nordin R, Doufexi A, Nix AR (2017) Effect of beamforming on mmWave systems in various realistic environments. In: 2017 IEEE 85th Vehicular technology conference (VTC Spring), pp 1–5
77.
78.
79.
Wu L, Sandrasegaran K (2007) A survey on common radio resource management. In: The 2nd International conference on wireless broadband and ultra wideband communications (AusWireless 2007), pp 66–66
80.
Mamadou AM, Toussaint J, Chalhoub G (2019) Interference study of coexisting IEEE 802.11 and 802.15.4 Networks. Invited paper. In: IFIP/IEEE international conference on performance evaluation and modeling in wired and wireless networks. IFIP/IEEE
81.
82.
83.
84.
Metadaten
Titel
Survey on Wireless Networks Coexistence: Resource Sharing in the 5G Era
verfasst von
Ali Mamadou Mamadou
Joël Toussaint
Gérard Chalhoub
Publikationsdatum
17.06.2020
Verlag
Springer US
Erschienen in
Mobile Networks and Applications / Ausgabe 5/2020
Print ISSN: 1383-469X
Elektronische ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-020-01564-w

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