Abstract
Device-to-Device (D2D) communications underlaying cellular networks have emerged as a necessity for a substantial increase in the system throughput and the number of active devices for the future cellular networks. In underlay D2D networks, it is conventional to use different interference management (IM) techniques to allow D2D transmitters to reuse the cellular users’ subcarriers. Conventionally, those IM techniques pair a specific number (one or more) of D2D transmitters to each subcarrier and/or allow each D2D transmitter to transmit on a specific number of subcarriers simultaneously in order to achieve the target rates. Due to the mixed-integer nature of those IM techniques, convex optimization techniques can not be used, and usually complex heuristic or game-theoretic approaches are exploited. In this paper, we introduce a reduced-constraints approach to seek sub-optimal joint power allocation and channel assignment solutions for two non-convex, mixed-integer, and non-linear programs (MINLP). Specifically, via the reduced-constraints approach and variable transformation techniques, we can exploit primal-dual algorithms to solve system power minimization and energy-efficiency maximization problems. Extensive numerical simulation results show that the proposed approach outperforms state-of-the-art techniques.
Highlights
R ECENTLY, Device-to-Device (D2D) communication arose as a future technology to improve utilization and enhance spectral efficiency needed for a fully connected world
We investigated the problem of reducing power consumption and improving the energy efficiency of the multi-pair D2D communications underlaying cellular networks
The main focus is on exploiting the convex optimization techniques to derive the optimal power allocation and channel assignment coefficients to obtain the maximum achievable performance, in terms of the available energy efficiency and minimum transmit power, instead of the existing sub-optimal and heuristic algorithms
Summary
R ECENTLY, Device-to-Device (D2D) communication arose as a future technology to improve utilization and enhance spectral efficiency needed for a fully connected world. Several investigations have focused on improving the performance of D2D networks by assigning different resources, such as the channel assignment and power allocation, to maximize the throughput or minimize the power consumption under different power and QoS constraints [6], [10]. We consider an underlay D2D communication model at which multi-pair of D2D coexists in an underlay scheme with a group of cellular users equipment (UEs) in the uplink scenario. The formulations of interference management and resource allocation problems in D2D networks involve binary channel assignment parameters that lead to non-convex and mixed-integer, non-linear programs (MINLP). Several of those problems are non-deterministic polynomial-time hard (NP-hard) problems [1], [4], [19].
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