Device-to-device (D2D) communication is a promising future wireless network technology that establishes a direct link between the devices in close vicinity. Along with the improved end-to-end latency and network rate, it also enhances the spectral and power efficiency. Most of the previous works on interference management and resource allocation have considered half-duplex (HD) D2D systems and have assumed that D2D pairs cannot access more than a single channel at a time and a cellular channel is assigned to at most one D2D pair. In this article, we investigate multiple-pair-multiple-channel (MPMC) allocation scenario over multiple-input-multiple-output-based full-duplex D2D networks.The idea is to maximize the aggregate sum data rate of the D2D network by optimal allocation of the resources and maintaining a desired threshold rate for the cellular users. The cross-tier interferences are intelligently handled by appropriate channel allocation and the co-tier interferences by proper power allocation.The efficacy of the proposed MPMC algorithm has been evaluated through rigorous simulations, and an appreciably better network rate has been found as compared with the single-pair-single-channel-based allocation. Moreover, by allowing more users to communicate in tandem, with enhanced average rate, the results also ensure a better opportunity of higher utilization of the scarce licensed cellular spectrum. The presented algorithm has also been compared with random and uniform based allocations and further analyzed in HD-MPMC communications.
The emergence of Internet-of-Things (IoT) aims to improve modern life by inter-connecting many smart devices, technologies, and applications. It, however, drastically increases mobile traffic and requires large wireless spectrum. Therefore, for a better spectrum utilization to support this massive connectivity along with low latency and close proximity based communication, non-orthogonal multiple access enabled underlay device-to-device (D2D-NOMA) is envisioned as a key technology for IoT deployment. Hence, in this work, we consider multiple IoT clusters communicating via underlay D2D-NOMA in an uplink cellular network, with the objective of minimizing the outage probability (OP) while allocating resources to the clusters. Specifically, for each cluster, we formulate the optimization problem of OP-based power control with fixed channel allocation (PCCA) and solve it using particle swarm optimization (PSO). Additionally, we prove the convexity of PCCA problem and obtain closed-form expressions at high SNR. Further, we propose a novel OP-aware channel allocation (OPCA) algorithm to enhance the overall D2D network outage performance. The results are numerically validated and an average performance improvement of 31% and 51% is observed over the two conventional schemes namely fixed power allocation and orthogonal multiple access enabled D2D, respectively.
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