Joint D2D Group Association and Channel Assignment in Uplink Multi-Cell NOMA Networks: A Matching-Theoretic Approach

Abstract

This paper studies joint device-to-device (D2D) group association and channel assignment in uplink multi-cell non-orthogonal multiple-access (NOMA) networks. Particularly, the goal is to assign D2D groups to cellular user channels at each base-station, while accounting for negative network externality due to the interference caused by pairing a user with a D2D group. To that end, a multi-objective signalto-interference-plus-noise ratio (SINR)-maximizing power allocation solution procedure is proposed to determine the optimal power allocation for each (D2D group, user) pair, while meeting quality-of-service (QoS) requirements. After that, the joint D2D group association and channel assignment problem is modeled as a student-project allocation with preferences over (student, project) pairs matching problem. More specifically, two polynomial-time complexity stable matching algorithms are proposed to pair D2D groups with users, and associate them with base-stations. Simulation results are presented to evaluate the proposed matching algorithms when combined with the devised solution procedure, and compare them to a joint D2D group association, channel assignment and power allocation (J-GA-CA-PA) scheme. More importantly, the proposed algorithms are shown to efficiently yield comparable SINR-per user and D2D receiver-to the J-GA-CA-PA scheme, while maintaining QoS requirements.

Random-Access NOMA in URLL Energy-Harvesting IoT Networks With Short Packet and Diversity Transmissions

“…. , R}) to the BS 6 . In the second phase of the frame, each IoT node transmits its data packets over the selected RB.…”

“…Particularly, NOMA has been shown to be superior to the conventional OMA schemes in terms of capacity and transmission latency [4]. Thus, NOMA has been proposed for new emerging applications, such as LiFi access-points [5], device-to-device communications [6], wireless power transfer [7], mobile edge computing [8], and many others [9]. In turn, incorporating NOMA into IoT networks is envisioned to be a promising solution for high spectral-efficiency and massive connectivity requirements [10].…”

An Algorithm for Strong Stability in the Student-Project Allocation Problem with Ties

“…2 An edge (si, pj) ∈ E can change state from bound to unbound, but not vice versa. 3 We note that we only remove this edge to form Gr, we do not delete the edge from G. 4 If si is bound to more than one projects offered by l k , for all the bound edges involving si and these projects that we remove from Gr, we only reduce l k 's quota in Gr by one. 5 An intuition as to why we add dummy students to Gr is as follows.…”

“…These include SPA with lecturer preferences over (i) students [15], (ii) projects [13,22,23], and (iii) (student, project) pairs [2]. Outwith assigning students to projects, applications of each of these three variants can be seen in multi-cell networks where the goal is to find a stable assignment of users to channels at base-stations [3,4,5].…”

A Survey on Application of Non-Orthogonal Multiple Access to Different Wireless Networks

“…The authors reported that the minimization of total transmit power for the network has a high dependency on subchannel assignment and user pairing. The problem of joint D2D group association and channel assignment is investigated in [174] for uplink multi-cell NOMA systems. In order to utilize cellular channels at each BS by D2D groups, the authors proposed SINR maximization based multi-objective power allocation solution with constraint of meeting QoS requirements.…”