A Joint Antenna and Path Selection Technique in Single-Relay-Based DF Cooperative MIMO Networks

In this paper, the authors consider a single-relay-based decode-and-forward (DF) cooperative multiple-input multiple-output (MIMO) system in which the source, the relay, and the destination are equipped with Ns, Nr, and Nd antennas, respectively. The authors propose a joint antenna and path selection scheme, which jointly selects the single-transmit and single-receive antenna pairs, along with the selection of either a direct path that consists of source-destination channels or a cooperative path that consists of source-relay and relay-destination channels. The proposed selection scheme is based on the maximization of minimum of maximums (max-min-max) criterion of instantaneous signal-to-noise ratio (SNR). The analysis in this paper is based on the assumptions that all the channels follow independent Rayleigh fading. A closed-form expression of the symbol error rate (SER) for the proposed scheme in a cooperative MIMO system with M-ary phase-shift keying is derived. The authors extract the analytical diversity order from the derived SER and show that the proposed selection scheme achieves the diversity order of NsNd + Nrmin(Ns, Nd) in the considered cooperative MIMO system. Closed-form expressions of bandwidth efficiency (BE) and ergodic capacity (Ct) are derived for the proposed scheme. An optimized selection parameter from the specific set of values is numerically evaluated by maximizing a heuristic utility function (Ct × BE/SER). By using the already- gathered information about the maximum instantaneous SNR of every hop, a power adaptation scheme that maximizes the instantaneous SNR in the cooperative path is proposed and analyzed. The proposed power adaptation scheme, which is applied only in the event of selection of a cooperative path, outperforms the uniform-power-distribution-based DF cooperative MIMO system.


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  • Accession Number: 01597937
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Mar 15 2016 10:47AM