Transmit power policy and ergodic multicast rate analysis of cognitive radio networks in generalized fading
Transmit power policy and ergodic multicast rate analysis of cognitive radio networks in generalized fading
This paper determines the optimum secondary user (SU) power allocation and ergodic multicast rate of point-to-multipoint communication in a cognitive radio network (CRN) in the presence of various quality of service (QoS) constraints for the primary users (PUs). Using tools from extreme value theory (EVT), it is first proved that the limiting distribution of the minimum of independent and identically distributed (i.i.d.) signal-to-interference ratio (SIR) random variables (RVs) is a Weibull distribution, when the user signal and the interferer signals undergo independent and non-identically distributed (i.n.i.d.) kappa -mu shadowed fading. Also, the rate of convergence of the actual minimum distribution to the Weibull distribution is derived. This limiting distribution is then used for determining the optimum transmit power of a secondary network in an underlay CRN subject to three different QoS constraints at the primary network in a generalized fading scenario. Furthermore, the optimum transmit power and the asymptotic ergodic multicast rate of SUs is analyzed for varying channel fading parameters.
cognitive radio, Extreme value theory, outage probability, queuing delay, secrecy outage, κ-μ shadowed fading
3311-3325
Subhash, Athira
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Srinivasan, Muralikrishnan
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Kalyani, Sheetal
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Hanzo, Lajos
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1 June 2020
Subhash, Athira
9f262efd-98ca-4abe-a4bc-54243530d1b8
Srinivasan, Muralikrishnan
ca80cae7-7d0a-4cf8-b48e-4398591643c1
Kalyani, Sheetal
974cfe6e-d6e2-4449-9110-7f33ae5806f8
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Subhash, Athira, Srinivasan, Muralikrishnan, Kalyani, Sheetal and Hanzo, Lajos
(2020)
Transmit power policy and ergodic multicast rate analysis of cognitive radio networks in generalized fading.
IEEE Transactions on Communications, 68 (6), , [9037080].
(doi:10.1109/TCOMM.2020.2980843).
Abstract
This paper determines the optimum secondary user (SU) power allocation and ergodic multicast rate of point-to-multipoint communication in a cognitive radio network (CRN) in the presence of various quality of service (QoS) constraints for the primary users (PUs). Using tools from extreme value theory (EVT), it is first proved that the limiting distribution of the minimum of independent and identically distributed (i.i.d.) signal-to-interference ratio (SIR) random variables (RVs) is a Weibull distribution, when the user signal and the interferer signals undergo independent and non-identically distributed (i.n.i.d.) kappa -mu shadowed fading. Also, the rate of convergence of the actual minimum distribution to the Weibull distribution is derived. This limiting distribution is then used for determining the optimum transmit power of a secondary network in an underlay CRN subject to three different QoS constraints at the primary network in a generalized fading scenario. Furthermore, the optimum transmit power and the asymptotic ergodic multicast rate of SUs is analyzed for varying channel fading parameters.
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- Accepted Manuscript
More information
Accepted/In Press date: 5 March 2020
e-pub ahead of print date: 16 March 2020
Published date: 1 June 2020
Additional Information:
Funding Information:
Manuscript received September 16, 2019; revised January 29, 2020; accepted March 5, 2020. Date of publication March 16, 2020; date of current version June 16, 2020. L. Hanzo would like to acknowledge the financial support of the Engineering and Physical Sciences Research Council Projects EP/Noo4558/1, EP/PO34284/1, COALESCE, of the Royal Society’s Global Challenges Research Fund Grant as well as of the European Research Council’s Advanced Fellow Grant QuantCom. The associate editor coordinating the review of this article and approving it for publication was F. J. Lopez-Martinez. (Athira Subhash and Muralikrishnan Srinivasan are co-first authors.) (Corresponding author: Lajos Hanzo.) Athira Subhash, Muralikrishnan Srinivasan, and Sheetal Kalyani are with the Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai 600036, India (e-mail: ee14d206@ee.iitm.ac.in; ee16d027@smail.iitm.ac.in; skalyani@ee.iitm.ac.in).
Copyright © 2020, IEEE
Keywords:
cognitive radio, Extreme value theory, outage probability, queuing delay, secrecy outage, κ-μ shadowed fading
Identifiers
Local EPrints ID: 438724
URI: http://eprints.soton.ac.uk/id/eprint/438724
ISSN: 0090-6778
PURE UUID: ee8008bd-cdb3-46c0-8756-55c648581e28
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Date deposited: 23 Mar 2020 17:31
Last modified: 18 Mar 2024 02:36
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Contributors
Author:
Athira Subhash
Author:
Muralikrishnan Srinivasan
Author:
Sheetal Kalyani
Author:
Lajos Hanzo
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