Multiuser Detection
Random Data: Analysis and Measurement Procedures
Random Data: Analysis and Measurement Procedures
IEEE Transactions on Signal Processing
Adaptive interference suppression in multiuser wireless OFDMsystems using antenna arrays
IEEE Transactions on Signal Processing
Co-channel interference cancellation based on MIMO OFDM systems
IEEE Wireless Communications
Co-channel interference cancellation for space-time coded OFDM systems
IEEE Transactions on Wireless Communications
A single antenna interference cancellation algorithm for increased gsm capacity
IEEE Transactions on Wireless Communications
Maximum ratio combining for OFDM systems with cochannel interference
IEEE Transactions on Consumer Electronics
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Bypassing orthogonal relaying transmissions via spatial signal separation
IEEE Transactions on Communications
Hi-index | 0.00 |
Radio networks for future mobile communications systems, for example, 3GPP Long-Term Evolution (LTE), are likely to use an orthogonal frequency division multiplexing- (OFDM-) based air interface in the downlink with a frequency reuse factor of one to avoid frequency planning. Therefore, system capacity is limited by interference, which is particularly crucial for mobile terminals with a single receive antenna. Nevertheless, next generation mobile communications systems aim at increasing downlink throughput. In this paper, a single antenna interference cancellation (SAIC) algorithm is introduced for amplitude-shift keying (ASK) modulation schemes in combination with bit-interleaved coded OFDM. By using such a transmission strategy, high gains in comparison to a conventional OFDM transmission with quadrature amplitude modulation (QAM) can be achieved. The superior performance of the novel scheme is confirmed by an analytical bit-error probability (BEP) analysis of the SAIC receiver for a single interferer, Rayleigh fading, and uncoded transmission. For the practically more relevant multiple interferer case we present an adaptive least-mean-square (LMS) and an adaptive recursive least-squares (RLS) SAIC algorithm. We show that in particular the RLS approach enables a good tradeoff between performance and complexity and is robust even to multiple interferers.