Multicasting over Emerging 5G Networks: Challenges and Perspectives

Araniti, Giuseppe; Condoluci, Massimo; Scopelliti, Pasquale; Molinaro, Antonella; Iera, Antonio

doi:10.1109/mnet.2017.1600067nm

Cited by 115 publications

(47 citation statements)

References 16 publications

(47 reference statements)

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“…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%

Sum Utilization of Spectrum with Spectrum Handoff and Imperfect Sensing in Interweave Multi-Channel Cognitive Radio Networks

Khalid

2018

Sustainability

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Fifth-generation (5G) heterogeneous network deployment poses new challenges for 5G-based cognitive radio networks (5G-CRNs) as the primary user (PU) is required to be more active because of the small cells, random user arrival, and spectrum handoff. Interweave CRNs (I-CRNs) improve spectrum utilization by allowing opportunistic spectrum access (OSA) for secondary users (SUs). The sum utilization of spectrum, i.e., joint utilization of spectrum by the SU and PU, depends on the spatial and temporal variations of PU activities, sensing outcomes, transmitting conditions, and spectrum handoff. In this study, we formulate and analyze the sum utilization of spectrum with different sets of channels under different PU and SU co-existing network topologies. We consider realistic multi-channel scenarios for the SU, with each channel licensed to a PU. The SU, aided by spectrum handoff, is authorized to utilize the channels on the basis of sensing outcomes and PU interruptions. The numerical evaluation of the proposed work is presented under different network and sensing parameters. Moreover, the sum utilization gain is investigated to analyze the sensitivities of different sensing parameters. It is demonstrated that different sets of channels, PU activities, and sensing outcomes have a significant impact on the sum utilization of spectrum associated with a specific network topology.

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Section: Background and Motivationmentioning

confidence: 99%

Sum Utilization of Spectrum with Spectrum Handoff and Imperfect Sensing in Interweave Multi-Channel Cognitive Radio Networks

Khalid

2018

Sustainability

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“…Constraints in (4c) are arrived following (3), and that in (4d) represents transmit power restriction whereP t is the maximum transmit power at RRH t.…”

Section: B Problem Statementmentioning

confidence: 99%

“…The benefits of multicasting have been exploited in the Long-Term Evolution (LTE) networks via the mechanism called evolved multimedia broadcast and multicast service (eMBMS) [2]. The service is also likely to be embedded in the Fifth Generation (5G) mobile networks [3].…”

Section: Introductionmentioning

confidence: 99%

Weighted Max–Min Fairness for C-RAN Multicasting Under Limited Fronthaul Constraints

Nguyen

Juntti

2018

IEEE Trans. Commun.

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Abstract-We consider downlink transmission in cloud radio access networks (C-RANs) with multiple cochannel multicasting groups served by a group of remote radio heads (RRHs), which receive information from a base band unit via finite-capacity fronthaul links. Our aim is to jointly design RRH selection and beamforming vectors such that the minimum weighted data rate among users are maximized under the constraints of maximum transmit power and fronthaul capacity at each specific RRH. The problem is intractable due to the numerical difficulties of combination and nonconvex functions. Based on a semidefinite relaxation technique, bisection search, and branch-and-bound method, we develop an upper bound which is also the optimal solution to the original problem if the relaxation is tight. More importantly, we propose a heuristic low-complexity iterative procedure for practical applications based on the state-of-the-art sequential convex approximation. Subsequently, we modify the proposed methods for the uncertain channel state information case. To be specific, the upper bound and its suboptimal solution are altered based on the S-lemma while the low-complexity algorithm is tailored by using two different approximations of intractable robust counterpart. The validity of the proposed methods in the region of limited fronthaul capacity is confirmed by numerical results.Index Terms-Cloud radio access networks, multicasting, channel uncertainties, transmit beamforming, mixed integer semidefinite program, sequential convex approximation, robust optimization.

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“…Multicast [11] is one of the most important services which is required to be supported in IoT [12,13]. In IoT [14] applications where the message must get through multiple devices/nodes or a major equipment shutdown is required (e.g., for urgent reasons), the sending node must be able to confirm that its message was received by all the members of the multicast group while assuring security from eavesdroppers.…”

Section: Introductionmentioning

confidence: 99%

“…In IoT [14] applications where the message must get through multiple devices/nodes or a major equipment shutdown is required (e.g., for urgent reasons), the sending node must be able to confirm that its message was received by all the members of the multicast group while assuring security from eavesdroppers. In the IoT, the major challenge compared with traditional multicast system is that it not only supports end-user devices, but also involves large-scale machinetype communications (MTC) and other low-power devices [12]. Thus, multicast in the IoT needs to have the capacity of accommodating different kinds of devices and dealing with high speed rate or erupted traffic.…”

Section: Introductionmentioning

confidence: 99%

Security Enhancement for Multicast over Internet of Things by Dynamically Constructed Fountain Codes

et al. 2018

Wireless Communications and Mobile Computing

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The Internet of Things (IoT) is expected to accommodate every object which exists in this world or likely to exist in the near future. The enormous scale of the objects is challenged by big security concerns, especially for common information dissemination via multicast services, where the reliability assurance for multiple multicast users at the cost of increasing redundancy and/or retransmissions also benefits eavesdroppers in successfully decoding the overheard signals. The objective of this work is to address the security challenge present in IoT multicast applications. Specifically, with the presence of the eavesdropper, an adaptive fountain code design is proposed in this paper to enhance the security for multicast in IoT. The main novel features of the proposed scheme include two folds: (i) dynamical encoding scheme which can effectively decrease intercept probability at the eavesdropper; (ii) increasing the transmission efficiency compared with the conventional nondynamical design. The analysis and simulation results show that the proposed scheme can effectively enhance information security while achieving higher transmission efficiency with a little accredited complexity, thus facilitating the secured wireless multicast transmissions over IoT.

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Multicasting over Emerging 5G Networks: Challenges and Perspectives

Cited by 115 publications

References 16 publications

Sum Utilization of Spectrum with Spectrum Handoff and Imperfect Sensing in Interweave Multi-Channel Cognitive Radio Networks

Sum Utilization of Spectrum with Spectrum Handoff and Imperfect Sensing in Interweave Multi-Channel Cognitive Radio Networks

Weighted Max–Min Fairness for C-RAN Multicasting Under Limited Fronthaul Constraints

Security Enhancement for Multicast over Internet of Things by Dynamically Constructed Fountain Codes

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