PROJECT TITLE :
Massive MIMO in Real Propagation Environments: Do All Antennas Contribute Equally?
Huge MIMO can greatly increase both spectral and transmit-energy potency. This is achieved by allowing the quantity of antennas and RF chains to grow very massive. But, the challenges embody high system complexity and hardware energy consumption. Here we tend to investigate the possibilities to cut back the required variety of RF chains, by performing antenna choice. Whereas this approach is not a terribly effective strategy for theoretical freelance Rayleigh fading channels, a considerable reduction in the quantity of RF chains can be achieved for real large MIMO channels, while not vital performance loss. We tend to evaluate antenna selection performance on measured channels at two.half dozen GHz, using a linear and a cylindrical array, both having 128 elements. Add-rate maximization is employed because the criterion for antenna choice. A selection scheme based mostly on convex optimization is nearly optimal and used as a benchmark. The achieved total-rate is compared with that of a very straightforward theme that selects the antennas with the very best received power. The power-based mostly theme offers performance close to the convex optimization scheme, for the measured channels. This observation indicates a possible for vital reductions of huge MIMO implementation complexity, by reducing the amount of RF chains and performing antenna choice using easy algorithms.
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