Nekouei, Ehsan and Inaltekin, Hazer and Dey, Subhrakanti (2013) Distributed cognitive multiple access networks: Power control, scheduling and multiuser diversity. In: 2013 IEEE International Symposium on Information Theory. IEEE, pp. 1665-1669. ISBN 9781479904464

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Abstract

This paper studies optimal distributed power allocation and scheduling policies (DPASPs) for distributed total power and interference limited (DTPIL) cognitive multiple access networks in which secondary users (SU) independently perform power allocation and scheduling tasks using their local knowledge of secondary transmitter secondary base-station (STSB) and secondary transmitter primary base-station (STPB) channel gains. In such networks, transmission powers of SUs are limited by an average total transmission power constraint and by a constraint on the average interference power that SUs cause to the primary base-station. We first establish the joint optimality of water-filling power allocation and threshold-based scheduling policies for DTPIL networks. We then show that the secondary network throughput under the optimal DPASP scales according to 1/en h log log (N), where n h is a parameter obtained from the distribution of STSB channel power gains and N is the total number of SUs. From a practical point of view, our results signify the fact that distributed cognitive multiple access networks are capable of harvesting multiuser diversity gains without employing centralized schedulers and feedback links as well as without disrupting primary's quality-of-service (QoS).

Item Type:	Book Section
Additional Information:	Cite as: E. Nekouei, H. Inaltekin and S. Dey, "Distributed cognitive multiple access networks: Power control, scheduling and multiuser diversity," 2013 IEEE International Symposium on Information Theory, 2013, pp. 1665-1669, doi: 10.1109/ISIT.2013.6620510.
Keywords:	Distributed; cognitive; multiple access networks; Power control; scheduling; multiuser diversity;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	14501
Identification Number:	https://doi.org/10.1109/ISIT.2013.6620510
Depositing User:	Subhrakanti Dey
Date Deposited:	03 Jun 2021 14:32
Publisher:	IEEE
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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