2017
DOI: 10.1109/comst.2016.2631079
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Resource Allocation for Underlay Cognitive Radio Networks: A Survey

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Cited by 206 publications
(105 citation statements)
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“…Several survey papers exist in the literature in the context of dynamic spectrum sharing and spectral coexistence covering a wide range of areas such as spectrum occupancy modeling and measurements [29,30], interweave DSS [31,32,34], underlay DSS [35][36][37], overlay DSS [38], MAC protocols for DSS [39], spectrum decision [43], spectrum assignment [44], security for DSS [40], learning for DSS [41,42], DSS under practical imperfections [13], licensed spectrum sharing [61][62][63] IoT, M2M and D2D [64][65][66][67] techniques [45], and the coexistence of LTE and WiFi [46]. Furthermore, the contribution in [37] provided a comprehensive review of radio resource allocation techniques for efficient spectrum sharing based on different design techniques such as transmission power-based versus SINRbased, and centralized versus distributed method, and further provided various requirements for the efficient resource allocation techniques.…”
Section: B Related Workmentioning
confidence: 99%
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“…Several survey papers exist in the literature in the context of dynamic spectrum sharing and spectral coexistence covering a wide range of areas such as spectrum occupancy modeling and measurements [29,30], interweave DSS [31,32,34], underlay DSS [35][36][37], overlay DSS [38], MAC protocols for DSS [39], spectrum decision [43], spectrum assignment [44], security for DSS [40], learning for DSS [41,42], DSS under practical imperfections [13], licensed spectrum sharing [61][62][63] IoT, M2M and D2D [64][65][66][67] techniques [45], and the coexistence of LTE and WiFi [46]. Furthermore, the contribution in [37] provided a comprehensive review of radio resource allocation techniques for efficient spectrum sharing based on different design techniques such as transmission power-based versus SINRbased, and centralized versus distributed method, and further provided various requirements for the efficient resource allocation techniques.…”
Section: B Related Workmentioning
confidence: 99%
“…On the other hand, spectrum exploitation techniques can be broadly classified into interweave, underlay and overlay based on the access mechanisms employed by the SUs [12]. Interweave paradigm allows the opportunistic secondary transmission in the frequency channels in which the primary transmission is absent [97] while the underlay paradigm enables the concurrent operation of primary and secondary systems while guaranteeing sufficient protection to the PUs [98,99]. On the contrary, the overlay paradigm utilizes advanced coding and transmission strategies and requires a very high degree of coordination between spectrum sharing systems, which might be complex in practice [100,101].…”
Section: Full-duplex In Dss Systemsmentioning
confidence: 99%
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“…Spectrum allocation is considered one of the major problems among the mentioned requirements [1,9]. The static spectrum allocation policies are inefficient for meeting the ever-growing demand of spectrum resources, which are needed for high-speed wireless access in 5G cellular networks [10]. Radio resources have become increasingly scarce because of the static spectrum allocation approaches.…”
Section: Background and Motivationmentioning
confidence: 99%
“…Radio resources have become increasingly scarce because of the static spectrum allocation approaches. The unlicensed users cannot access the licensed bands, making the bands under-utilized [6,10]. Spectrum allocation flexibility and spectrum utilization efficiency can be achieved with different proposed technologies, such as LTE-WiFi aggregation (LWA) [11], operations in millimeter-wave band [12], LTE over the unlicensed band (LTE-U) [13], multicasting [14,15], layer-division multiplexing [14,16], ultra-dense small cells in Sustainability 2018, 10, 1764 3 of 18 5G architecture [17], non-orthogonal multiple access (NOMA) [18][19][20], and software-defined cognitive radio network (SD-CRN) [21][22][23][24][25].…”
Section: Background and Motivationmentioning
confidence: 99%