Adaptive transmission schemes for MISO spectrum sharing systems: Tradeoffs and performance analysis

Zied Bouida, Ali Ghrayeb, Khalid Qaraqe, Mohamed Slim Alouini

Research output: Contribution to journalArticle

8 Citations (Scopus)


In this paper, we propose a number of adaptive transmission techniques in order to improve the performance of the secondary link in a spectrum sharing system. We first introduce the concept of minimum-selection maximum ratio transmission (MS-MRT) as an adaptive variation of the existing MRT (MRT) technique. While in MRT all available antennas are used for transmission, MS-MRT uses the minimum subset of antennas verifying both the interference constraint (IC) to the primary user and the bit error rate (BER) requirements. Similar to MRT, MS-MRT assumes that perfect channel state information (CSI) is available at the secondary transmitter (ST), which makes this scheme challenging from a practical point of view. To overcome this challenge, we propose another transmission technique based on orthogonal space-time block codes with transmit antenna selection (TAS). This technique uses the full-rate full-diversity Alamouti scheme in order to maximize the secondary's transmission rate. The performance of these techniques is analyzed in terms of the average spectral efficiency (ASE), average number of transmit antennas, average delay, average BER, and outage performance. In order to give the motivation behind these analytical results, the tradeoffs offered by the proposed schemes are summarized and then demonstrated through several numerical examples.

Original languageEnglish
Article number2337894
Pages (from-to)5352-5365
Number of pages14
JournalIEEE Transactions on Wireless Communications
Issue number10
Publication statusPublished - 1 Oct 2014



  • Adaptive modulation
  • Maximum ratio transmission
  • Minimum selection
  • Performance analysis
  • Space-time block codes
  • Spectrum sharing
  • Transmit beamforming

ASJC Scopus subject areas

  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this