Interference‐resilient spectrum sharing with collision detection and data recovery for cognitive radio networks. (27th April 2020)

• Record Type: Journal Article
• Authors: Javed, Imran; Loan, Asim; Mahmood, Waqar
• Is Part Of: International journal of communication systems. Volume 33:Number 11(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-04-27
• Subjects: cognitive radio -- fading channel -- interference cancellation -- OFDM; Telecommunication systems -- Periodicals; 621.382
• DOI: 10.1002/dac.4432
• Languages: English
• ISSNs: 1074-5351

Abstract

Summary: Data recovery under collision of primary/secondary users in cognitive radio networks is largely an unaddressed problem. Existing approaches require either (a) retransmissions, (b) interference‐free alignment of transmission parameters, or (c) prior knowledge for data recovery. In contrast to the existing approaches, the paper proposes estimation of channel state information based on received collided frames and recommends techniques for spectrum sharing, collision detection, and data recovery. Specifically, based on estimated channel vector, interference‐resilient spectrum‐sharing protocol and techniques are proposed for (a) identification of primary user (PU) activity before (or during) secondary user's (SU's) transmission, (b) MIMO channel estimation under collision, (c) optimal pilot permutation, and (d) interference cancellation (with/without receiver diversity). Results are reported for different baseband modulation techniques under frequency selective/flat fading channel scenarios that demonstrate the efficacy of a proposed work. Abstract : This research article proposes new techniques for the problem of data recovery under collision scenario between primary and secondary users in cognitive radio networks, which, otherwise, has largely been an unaddressed problem. Specifically, interference‐resilient spectrum‐sharing protocol and techniques are proposed for (a) identification of PU activity before (or during) SU's transmission, (b) MIMO channel estimation under collision, (c) optimal pilot permutation, and (d) interference cancellation (with/without receiver diversity).