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Multicasting for disseminating popular data is an interesting solution forimproving the energy and spectral efficiencies of cellular networks. To improvethe achievable performance of such networks, underlay device-to-device (D2D)multicast communication offers a practical solution. However, despitesignificant potential for providing higher throughput and lower delay,implementing underlay D2D multicast communication poses several challenges,such as mutual interference among cellular users (CUs) and D2D multicast groups(MGs), and overhead signaling to provide channel state information, that maylimit potential gains. We study a scenario where multiple D2D multicast groupsmay share a CU's uplink channel. We formulate an optimization problem tomaximize the achievable system throughput while fulfilling quality of service(QoS) requirements of every CU and D2D MGs, subject to their correspondingmaximum transmit power constraints. The formulated optimization problem is aninstance of mixed integer non-linear programming (MINLP) problem, which iscomputationally intractable, in general. Therefore, to find a feasiblesolution, we propose a pragmatic two-step process of channel allocation andpower allocation. In the first-step, we propose a channel allocation algorithm,which determines the subset of MGs that may share a channel subject to criteriabased on two different parameters: interference and outage probabilities. Then,we propose an algorithm to allocate power to these MG subsets that maximizesthe system throughput, while satisfying transmit power constraint. Numericalresults show the efficacy of proposed approach in terms of higher achievablesum throughput and better spectrum efficiency with respect to various existingschemes.

Multiple D2D Multicasts in Underlay Cellular Networks