Capacity performance of adaptive receive antenna subarray formation for MIMO systems
EURASIP Journal on Wireless Communications and Networking
Antenna selection for MIMO systems with closely spaced antennas
EURASIP Journal on Wireless Communications and Networking - 3GPP LTE and LTE Advanced
Co-channel interference cancellation using single radio frequency and baseband chain
IEEE Transactions on Communications
Analog beamforming in MIMO communications with phase shift networks and online channel estimation
IEEE Transactions on Signal Processing
Robustness of Weighting Receive Antenna Selection Algorithm
Wireless Personal Communications: An International Journal
Wireless Personal Communications: An International Journal
| Hi-index | 35.69 |
We introduce a novel soft antenna selection approach for multiple antenna systems through a joint design of both RF (radio frequency) and baseband signal processing. When only a limited number of frequency converters are available, conventional antenna selection schemes show severe performance degradation in most fading channels. To alleviate those degradations, we propose to adopt a transformation of the signals in the RF domain that requires only simple, variable phase shifters and combiners to reduce the number of RF chains. The constrained optimum design of these shifters, adapting to the channel state, is given in analytical form, which requires no search or iterations. The resulting system shows a significant performance advantage for both correlated and uncorrelated channels. The technique works for both transmitter and receiver design, which leads to the joint transceiver antenna selection. When only a single information stream is transmitted through the channel, the new design can achieve the same SNR gain as the full-complexity system while requiring, at most, two RF chains. With multiple information streams transmitted, it is demonstrated by computer experiments that the capacity performance is close to optimum.