Multiple D2D Multicasts in Underlay Cellular Networks

TL;DR

This paper explores optimizing underlay D2D multicast communication in cellular networks by formulating a complex optimization problem and proposing practical algorithms for channel and power allocation to enhance throughput and spectrum efficiency.

Contribution

It introduces a novel two-step approach for channel and power allocation in underlay D2D multicast, addressing interference and QoS constraints to improve network performance.

Findings

Achieves higher sum throughput compared to existing schemes.

Improves spectrum efficiency through optimized resource sharing.

Demonstrates effectiveness of proposed algorithms via numerical simulations.

Abstract

Multicasting for disseminating popular data is an interesting solution for improving the energy and spectral efficiencies of cellular networks. To improve the achievable performance of such networks, underlay device-to-device (D2D) multicast communication offers a practical solution. However, despite significant 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 may limit potential gains. We study a scenario where multiple D2D multicast groups may share a CU's uplink channel. We formulate an optimization problem to maximize the achievable system throughput while fulfilling quality of service (QoS) requirements of every CU and D2D MGs, subject to their corresponding maximum transmit power constraints. The formulated optimization problem is an instance of mixed integer non-linear programming (MINLP) problem, which is computationally intractable, in general. Therefore, to find a feasible solution, we propose a pragmatic two-step process of channel allocation and power allocation. In the first-step, we propose a channel allocation algorithm, which determines the subset of MGs that may share a channel subject to criteria based on two different parameters: interference and outage probabilities. Then, we propose an algorithm to allocate power to these MG subsets that maximizes the system throughput, while satisfying transmit power constraint. Numerical results show the efficacy of proposed approach in terms of higher achievable sum throughput and better spectrum efficiency with respect to various existing schemes.