Reweighted nuclear norm minimization of interference alignment for cognitive radio networks

Anizamariah Daud, Mahamod Ismail, Nordin Ramli, Hafizal Mohamad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

A cognitive radio network allows the primary users (PU) and secondary users (SU) transmit simultaneously given that the primary user's transmission is not disrupted. The secondary users are able to transmit their signals by aligning the signal direction to the primary user's unused direction. However, the performance of SU is heavily affected by the degree of freedom (DoF) of the cognitive radio network in a static flat-fading multiple input multiple output (MIMO) interference channel. A rank constraint rank minimization (RCRM) method has been used to maximize the DoF but the optimization problem happens to be a non-convex problem thus, a tighter convex approximation will help to solve this problem. One of the most popular methods is the nuclear norm minimization method which provides a convex envelope of the approximation but discovered to be not optimal in finding the maximum achievable DoF. This paper proposes a reweighted nuclear norm minimization method in a cognitive radio network with the presence of PU and multiple SU with the interest at the SU's receiver side. The proposed method allows the PU and SU to coexist in the same frequency band and transmit simultaneously without disturbance from SU to PU while avoiding degradation of performance for SU at the same time. The weight matrix is placed at the receiver and updated iteratively according to the current environment, resulting in a tighter convex approximation and thus, enhances the performance of SU.

Original languageEnglish
Title of host publicationInternational Conference on Wireless and Mobile Computing, Networking and Communications
Pages757-762
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2013 - Lyon
Duration: 7 Oct 20139 Oct 2013

Other

Other2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2013
CityLyon
Period7/10/139/10/13

Fingerprint

Radio interference
Cognitive radio
Fading (radio)
Frequency bands
Atmospherics
Degradation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

Cite this

Daud, A., Ismail, M., Ramli, N., & Mohamad, H. (2013). Reweighted nuclear norm minimization of interference alignment for cognitive radio networks. In International Conference on Wireless and Mobile Computing, Networking and Communications (pp. 757-762). [6673441] https://doi.org/10.1109/WiMOB.2013.6673441

Reweighted nuclear norm minimization of interference alignment for cognitive radio networks. / Daud, Anizamariah; Ismail, Mahamod; Ramli, Nordin; Mohamad, Hafizal.

International Conference on Wireless and Mobile Computing, Networking and Communications. 2013. p. 757-762 6673441.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Daud, A, Ismail, M, Ramli, N & Mohamad, H 2013, Reweighted nuclear norm minimization of interference alignment for cognitive radio networks. in International Conference on Wireless and Mobile Computing, Networking and Communications., 6673441, pp. 757-762, 2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2013, Lyon, 7/10/13. https://doi.org/10.1109/WiMOB.2013.6673441
Daud A, Ismail M, Ramli N, Mohamad H. Reweighted nuclear norm minimization of interference alignment for cognitive radio networks. In International Conference on Wireless and Mobile Computing, Networking and Communications. 2013. p. 757-762. 6673441 https://doi.org/10.1109/WiMOB.2013.6673441
Daud, Anizamariah ; Ismail, Mahamod ; Ramli, Nordin ; Mohamad, Hafizal. / Reweighted nuclear norm minimization of interference alignment for cognitive radio networks. International Conference on Wireless and Mobile Computing, Networking and Communications. 2013. pp. 757-762
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