Resource allocation in cognitive underlay system with uncertain interference channel's statistics

Rongfei Fan; Jiannan Cui; Wen Chen; Jianping An; Gongpu Wang

doi:10.1109/LCOMM.2018.2807812

Resource allocation in cognitive underlay system with uncertain interference channel's statistics

Rongfei Fan^*, Jiannan Cui, Wen Chen, Jianping An, Gongpu Wang

^*Corresponding author for this work

School of Cyberspace Science and Technology

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

In this letter, resource allocation is investigated for multiple pairs of secondary users in a cognitive underlay system. In the investigated system, the interference channel's statistics, including mean and variance, may change over time. It is assumed that a limit number of historical measurements of the interference channel's mean and variance are available. Based on the measurements, a minimum-volume elliptical region is used to describe the uncertainty of the interference channel's mean and variance. Sum capacity of multiple secondary users is maximized while limiting the worst-case interference outage probability. An optimization problem is formulated, which is non-convex. Global optimal solution is achieved by transforming the formulated non-convex problem into two level of convex optimization problems.

Original language	English
Pages (from-to)	1022-1025
Number of pages	4
Journal	IEEE Communications Letters
Volume	22
Issue number	5
DOIs	https://doi.org/10.1109/LCOMM.2018.2807812
Publication status	Published - May 2018

Keywords

Cognitive radio
resource allocation
uncertain interference channel's statistics
underlay

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10.1109/LCOMM.2018.2807812

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title = "Resource allocation in cognitive underlay system with uncertain interference channel's statistics",

abstract = "In this letter, resource allocation is investigated for multiple pairs of secondary users in a cognitive underlay system. In the investigated system, the interference channel's statistics, including mean and variance, may change over time. It is assumed that a limit number of historical measurements of the interference channel's mean and variance are available. Based on the measurements, a minimum-volume elliptical region is used to describe the uncertainty of the interference channel's mean and variance. Sum capacity of multiple secondary users is maximized while limiting the worst-case interference outage probability. An optimization problem is formulated, which is non-convex. Global optimal solution is achieved by transforming the formulated non-convex problem into two level of convex optimization problems.",

keywords = "Cognitive radio, resource allocation, uncertain interference channel's statistics, underlay",

author = "Rongfei Fan and Jiannan Cui and Wen Chen and Jianping An and Gongpu Wang",

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AU - Fan, Rongfei

AU - Cui, Jiannan

AU - Chen, Wen

AU - An, Jianping

AU - Wang, Gongpu

PY - 2018/5

Y1 - 2018/5

N2 - In this letter, resource allocation is investigated for multiple pairs of secondary users in a cognitive underlay system. In the investigated system, the interference channel's statistics, including mean and variance, may change over time. It is assumed that a limit number of historical measurements of the interference channel's mean and variance are available. Based on the measurements, a minimum-volume elliptical region is used to describe the uncertainty of the interference channel's mean and variance. Sum capacity of multiple secondary users is maximized while limiting the worst-case interference outage probability. An optimization problem is formulated, which is non-convex. Global optimal solution is achieved by transforming the formulated non-convex problem into two level of convex optimization problems.

AB - In this letter, resource allocation is investigated for multiple pairs of secondary users in a cognitive underlay system. In the investigated system, the interference channel's statistics, including mean and variance, may change over time. It is assumed that a limit number of historical measurements of the interference channel's mean and variance are available. Based on the measurements, a minimum-volume elliptical region is used to describe the uncertainty of the interference channel's mean and variance. Sum capacity of multiple secondary users is maximized while limiting the worst-case interference outage probability. An optimization problem is formulated, which is non-convex. Global optimal solution is achieved by transforming the formulated non-convex problem into two level of convex optimization problems.

KW - Cognitive radio

KW - resource allocation

KW - uncertain interference channel's statistics

KW - underlay

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JO - IEEE Communications Letters

JF - IEEE Communications Letters

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Resource allocation in cognitive underlay system with uncertain interference channel's statistics

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Keywords

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