Optimal resource allocation for mimo ad hoc cognitive radio networks

Seung Jun Kim, Georgios B. Giannakis

Research output: Contribution to journalArticlepeer-review

221 Scopus citations


Maximization of the weighted sum-rate of secondary users (SUs) possibly equipped with multiantenna transmitters and receivers is considered in the context of cognitive radio (CR) networks with coexisting primary users (PUs). The total interference power received at the primary receiver is constrained to maintain reliable communication for the PU. An interference channel configuration is considered for ad hoc networking, where the receivers treat the interference from undesired transmitters as noise. Without the CR constraint, a convergent distributed algorithm is developed to obtain (at least) a locally optimal solution. With the CR constraint, a semidistributed algorithm is introduced. An alternative centralized algorithm based on geometric programming and network duality is also developed. Numerical results show the efficacy of the proposed algorithms. The novel approach is flexible to accommodate modifications aiming at interference alignment. However, the stand-alone weighted sum-rate optimal schemes proposed here have merits over interference-alignment alternatives especially for practical SNR values.

Original languageEnglish (US)
Article number5752426
Pages (from-to)3117-3131
Number of pages15
JournalIEEE Transactions on Information Theory
Issue number5
StatePublished - May 2011

Bibliographical note

Funding Information:
Manuscript received April 28, 2010; revised January 18, 2011; accepted January 21, 2011. Date of current version April 20, 2011. This work was supported by the National Science Foundation under Grants CCF 0830480, CON 014658, ECCS 0824007, and ECCS 1002180. Part of this work was presented at the 46th Annual Allerton Conference on Communication, Control, and Computing, Monticello, IL, 2008.


  • Ad hoc network
  • MIMO
  • cognitive radio
  • interference network
  • optimization


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