An optimal power allocation for D2D communications over multi-user cellular uplink channels
Conference paper
Omorinoye, A., Vien, Q., Le, T. and Shah, P. 2019. An optimal power allocation for D2D communications over multi-user cellular uplink channels. Duong, T., Vo, N., Nguyen, L., Vien, Q. and Nguyen, V. (ed.) 5th EAI International Conference on Industrial Networks and Intelligent Systems (INISCOM 2019). Ho Chi Minh, Vietnam, Vietnam 19 Aug 2019 Springer, Cham. pp. 53-64 https://doi.org/10.1007/978-3-030-30149-1_5
Type | Conference paper |
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Title | An optimal power allocation for D2D communications over multi-user cellular uplink channels |
Authors | Omorinoye, A., Vien, Q., Le, T. and Shah, P. |
Abstract | Device-to-Device (D2D) communications has emerged as a promising technology for optimizing spectral efficiency, reducing latency, improving data rate and increasing system capacity in cellular networks. Power allocation in D2D communication to maintain Quality-of-Service (QoS) remains as a challenging task. In this paper, we investigate the power allocation in D2D underlaying cellular networks with multi-user cellular uplink channel reuse. Specifically, this paper aims at minimizing the total transmit power of D2D users and cellular users (CUs) sub- ject to QoS requirement at each user in terms of the required signal-to- interference-plus-noise ratio (SINR) at D2D users and base station (BS) over uplink channel as well as their limited transmit power. We first derive expressions of SINR at the D2D users and BS based on which an optimization framework for power allocation is developed. We then propose an optimal power allocation algorithm for all D2D users and CUs by taking into account the property of non-negative inverse of a Z- matrix. The proposed algorithm is validated through simulation results which show the impacts of noise power, distance between D2D users, the number of D2D pairs and the number of CUs on the power allocation in the D2D underlaying cellular networks. |
Conference | 5th EAI International Conference on Industrial Networks and Intelligent Systems (INISCOM 2019) |
Page range | 53-64 |
Proceedings Title | Industrial Networks and Intelligent Systems: 5th EAI International Conference, INISCOM 2019, Ho Chi Minh City, Vietnam, August 19, 2019, Proceedings |
Series | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
Editors | Duong, T., Vo, N., Nguyen, L., Vien, Q. and Nguyen, V. |
ISSN | 1867-8211 |
Electronic | 1867-822X |
ISBN | |
Paperback | 9783030301484 |
Electronic | 9783030301491 |
Publisher | Springer, Cham |
Publication dates | |
Online | 17 Aug 2019 |
17 Aug 2019 | |
Publication process dates | |
Deposited | 25 Nov 2019 |
Accepted | 30 May 2019 |
Output status | Published |
Accepted author manuscript | File Access Level Open |
Copyright Statement | This version of the paper has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-ma...), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-030-30149-1_5 |
Additional information | Paper published as: |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-030-30149-1_5 |
Scopus EID | 2-s2.0-85072888539 |
Web address (URL) of conference proceedings | https://doi.org/10.1007/978-3-030-30149-1 |
Related Output | |
Has metadata | http://www.scopus.com/inward/record.url?eid=2-s2.0-85072888539&partnerID=MN8TOARS |
Language | English |
https://repository.mdx.ac.uk/item/889z7
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