Abstract:Abstract-In this paper, we investigate a cross-layer approach to transmit antenna selection capable of adapting the number of active antennas to varying channel conditions. We address a cross-layer methodology in the sense that the criterion for the selection of antenna subsets is the maximization of link layer throughput which takes into account characteristics both at the physical and link layers. In order to enhance system performance, adaptive modulation is included to jointly perform antenna selection and… Show more
, "Energy efficiency analysis of antenna selection multi-input multioutput automatic repeat request systems over Nakagami-m fading channels," IET Communications, vol. 9, (12) pp. 1522-1530, 2015
, "Energy efficiency analysis of antenna selection multi-input multioutput automatic repeat request systems over Nakagami-m fading channels," IET Communications, vol. 9, (12) pp. 1522-1530, 2015
“…Since the numerator and denominator in Eq.5 are concave and affine respectively, Eq.5 is a concave fractional programming [5]. By defining a non-negative parameter , the above equation is converted to a convex function separating numerator and denominator with help of .…”
Section: Problem Formulationmentioning
confidence: 99%
“…Antenna selection approaches are widely used to increase capacity or throughput in MIMO systems [4][5]. However, the spectral efficient transmitter antenna selection is always performed to choose the active antennas when the number of radio frequency chains is larger than the number of the antennas.…”
Active transmits antenna selection (ATAS) leads to minimize the energy consumption in MIMO transmission, via adaptively choosing the optimal active antenna configuration satisfying the capacity requirement at the same time. This paper proposes a new low complexity ATAS method in MIMO Broadcasting channels. A computationally efficient approach, particle swarm optimization (PSO) algorithm is employed and the particles are defined as the discrete binary antenna selection factor. The objective is to maximize energy efficiency corresponding to the specified antenna which is represented by the particles. Numerical results reveal that PSO algorithm with low complexity converges to optimal solution. Therefore, our proposed algorithm is proper for real-time applications.
“…Similarly in [12], the authors proposed a modified MAC protocol where nodes use all antennas to transmit ready-to-send (RTS) or clear-to-send (CTS) control messages after which data packets are sent using directional antennas. In MIMO spatial multiplexing system, the authors in [15] proposed a cross-layer approach combining antenna selection (AS) in Rayleigh fading channels. Along the same lines, in [16] the authors proposed a cross-layer AS approach for MIMO spatial-multiplexing (SM) system deploying the decision-feedback detector (DFD) at the receiver.…”
The performance of a cross-layer (physical and MAC) design for multiple-input multiple-output (MIMO) system that maximizes the throughput of ad-hoc networks by selecting the optimum antenna combination is investigated. This crosslayer design is shown to improve the overall network performance relative to the case with no antenna selection. To further improve the overall network throughput, we minimize the effect of node blocking in the IEEE 802.11 medium-access control (MAC) protocol. The proposed protocol leverage the available degrees of freedom offered by the MIMO system to allow neighboring nodes to simultaneously communicate using the zero-forcing Bell-labs layered space-time (BLAST) architecture. The performance of the proposed cross-layer design is examined through simulations to show the throughput advantage relative to conventional MAC protocols.
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