Optimal channel assignment with aggregation in multi-channel systems: A resilient approach to adjacent-channel interference

Gulnur Selda Uyanik, Mohammad J. Abdel-Rahman, Marwan Krunz

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


Channel assignment mechanisms in multi-channel wireless networks are often designed without accounting for adjacent-channel interference (ACI). To prevent such interference between different users in a network, guard-bands (GBs) are needed. Introducing GBs has significant impact on spectrum efficiency. In this paper, we present channel assignment mechanisms that aim at maximizing the spectrum efficiency. More specifically, these mechanisms attempt to minimize the amount of additional GB-related spectrum that is needed to accommodate a new link. Similar to the IEEE 802.11n and the upcoming IEEE 802.11ac standards, our assignment mechanisms support channel bonding, and more generally, channel aggregation. We first consider sequential assignment (i.e., one link at a time), and we formulate the optimal ACI-aware channel assignment that maximizes the spectrum efficiency as a subset-sum problem. An exact exponential-time dynamic programming (DP) algorithm, a polynomial-time greedy heuristic, and an ε-approximation are presented and compared. Second, considering a set of links (batch assignment), we derive the optimal ACI-aware exponential-time assignment that maximizes the network's spectrum efficiency. The optimal batch assignment is compared with the sequential assignment. Results reveal that our proposed algorithms achieve considerable improvement in spectrum efficiency compared to previously proposed schemes.

Original languageEnglish (US)
Pages (from-to)64-76
Number of pages13
JournalAd Hoc Networks
StatePublished - Sep 2014


  • Channel assignment
  • Dynamic programming
  • Greedy algorithms
  • Multiple subset-sum problem
  • Spectrum efficiency
  • ε-Approximate algorithms

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications


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