Spectrum-Efficient QoS-Aware Resource Assignment for FFR-Based D2D-Enabled Heterogeneous Networks

Abstract

Small cells and Device-to-Device (D2D) communication can improve the coverage and capacity of cellular systems, thereby enabling an enriched customer experience. To optimize that experience, this paper considers a problem of uplink weighted sum rate maximization for a single cell heterogeneous network containing macro cellular users, D2D users and femto-cell users. In particular, in order to control the co-tier and cross-tier interferences, a new Fractional Frequency Reuse (FFR) architecture is developed in which we seek to maximize a weighted sum rate, subject to minimum rate requirements and transmission power constraints. In order to tackle the resulting mixed integer nonlinear optimization problem, we develop a decomposition-based strategy. The proposed strategy solves the admission control, power control, and matching subproblems optimally, and allocates the remaining free sub-channels by using a heuristic suboptimal algorithm. Numerical results demonstrate that the proposed scheme, in average, achieves around 96% of the system sum rate of the optimal Branch & Bound method with much lower computational cost.

Device to Device Hybridization in 5G and Beyond: A Literature Review

“…To ensure effective mode selection and successful communication in D2D pair in either microwave or mmWave, it is vital that the interference caused by and suffered by the D2D equipment is mitigated efficiently. Some of the research focused on hybrid D2D interference management have put forward mechanisms such as Fractional Frequency Reuse (FFR) technique (Eslami, Mirjalily, & Davidson, 2020;Kim et al, 2018;Ningombam, et al, 2017) or a variant of FFR (Tabassum et al, 2020). Future network will have to coexist with microWave and mmWave band infrastructure side-by-side thereby necessitating the need for developing mechanisms that can accommodate seamless transitioning between both bands.…”

“…ensure hybrid D2D communication, BS is informed of D2D communication intention by the source UE, the BS locates and broadcast D2D-link-setup-request to the UEs, the DUE pair receives request and setup beam alignment process (Hassanieh et al, 2018) in the microWave band, DUETX sends probing signals towards DUERX in a circular pattern, all received signals are recorded and compared and forwarded to the BS, the BS sends the information to DUETX to select the strongest signal received location for data transmission, in the case the received power does not reach pre-defined threshold, the data transmission between the DUE pair is performed via microwave. Eslami et al (2020) considered co-tier and cross-tier interference in deployment of D2D communication link in hybrid mmWave and microWave network infrastructure. To provide a solution, all devices are allocated to access the spectrum either in reuse or dedicated mode, the mixed integer nonlinear nonconvex problem (Mahajan, Leyffer, Linderoth, Luedtke, & Munson, 2020) is solved based on problem decomposition method, the matching problem is addressed using Kuhn-Munkres algorithm (Chen, Tian, & Wang, 2014).…”

Analysis of the influence of device‐to‐device communication on the access terminal of electric power data communication network

“…This mechanism is considered the limitation of delay in D2D. In [16], the authors developed a novel fractional frequency reuse architecture to maximise the sum rate of the uplink. In [17], the authors proposed a scheme that combined radio resource selection with transmission power minimisation for a D2D network.…”

Joint uplink and downlink resource allocation for device to device communications

“…Centralized approaches such as [5–25] assume the channel state information (CSI) knowledge at the eNodeB. They rely on several tools as: stochastic geometry [5, 6], centralized graph‐theoretic approaches [7, 8], and mixed‐integer programming [9, 10] to enhance the network capacity.…”

“…Limited research investigated centralized full-duplex RA [21][22][23] to manage the co-tier/cross-tier interference. The authors of [21] propose a suboptimal approach, whereas, in paper [23], they use a heuristic suboptimal algorithm to solve the problem. Paper [24] presents a centralized two-step scheme to enhance the spectrum reuse [25].…”