Energy-Efficient Resource Allocation for High-Rate Underlay D2D Communications With Statistical CSI: A One-to-Many Strategy

For the prominent superiorities in energy and spectrum efficiency, Device-to-Device (D2D) communication has become a hot topic among the 5th generation (5G) technologies. However, the widely adopted mode that one or more D2D links reuse one cellular user's uplink spectrum may lead to severe lim...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology Vol. 69; no. 4; pp. 4006 - 4018
Main Authors: Li, Runzhou, Hong, Peilin, Xue, Kaiping, Zhang, Ming, Yang, Te
Format: Journal Article
Language:English
Published: New York IEEE 01.04.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Agglomeration
carrier aggregation
Cellular communication
Communication
Computer simulation
Copper
D2D communications
Device-to-device communication
Electronic devices
Greedy algorithms
high-rate
Interference
Mathematical model
non-convex MINLP
Nonlinear programming
outage probability
Power consumption
Power management
Quality of service
Resource allocation
Resource management
spectrum and power allocation
Uplink
ISSN:0018-9545, 1939-9359
Online Access:Get full text
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Summary:For the prominent superiorities in energy and spectrum efficiency, Device-to-Device (D2D) communication has become a hot topic among the 5th generation (5G) technologies. However, the widely adopted mode that one or more D2D links reuse one cellular user's uplink spectrum may lead to severe limitation on D2D communication rate, especially when cellular user's uplink spectrum is very limited. In this paper, we will face the high rate requirements of D2D pairs (DPs), with the help of carrier aggregation technology, each DP can reuse the uplink spectrum of multiple cellular users when needed. More practically, we consider that only statistical channel state information (CSI) of certain communication links is available here. Then, we formulate the problem to minimize the total power consumption of the mobile devices to obtain an energy-efficient resource allocation result, including spectrum and power allocation. Meanwhile, the quality of service (QoS) requirements of cellular and high-rate D2D communications are both ensured. The formulated problem is mathematically a non-convex mixed-integer nonlinear programming (MINLP) problem, which is NP-hard. To solve it, we first tighten the constraints and deploy transformation methods on it to make it convex. Then, we propose a two-layer algorithm, the independent-power greedy-based outer approximation (IPGOA), to solve the transformed problem. Besides, to handle the involved uniform power allocation circumstance in the carrier aggregation process, a uniform-power GOA (UPGOA) algorithm, which can be regarded as a simplified version of IPGOA, is also proposed. The simulation results show that in different scenarios, our proposed scheme is approximately optimal.
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2020.2973228