Vector quantization and signal compression
Vector quantization and signal compression
Elements of information theory
Elements of information theory
Demodulation in the presence of multiuser interference: progress and misconceptions
Intelligent methods in signal processing and communications
Multiuser Detection
Interference cancellation for cellular systems: a contemporary overview
IEEE Wireless Communications
Downlink capacity of interference-limited MIMO systems with joint detection
IEEE Transactions on Wireless Communications
Iterative decoding of binary block and convolutional codes
IEEE Transactions on Information Theory
Information-theoretic considerations for symmetric, cellular, multiple-access fading channels. I
IEEE Transactions on Information Theory
Iterative receivers for multiuser space-time coding systems
IEEE Journal on Selected Areas in Communications
Iterative detection and decoding with an improved V-BLAST for MIMO-OFDM systems
IEEE Journal on Selected Areas in Communications
A testbed for cooperative multi cell algorithms
Proceedings of the 4th International Conference on Testbeds and research infrastructures for the development of networks & communities
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This paper deals with multiuser detection through base station cooperation in an uplink, interference-limited, high frequency reuse scenario. Distributed iterative detection (DID) is an interference mitigation technique in which the base stations at different geographical locations exchange detected data iteratively while performing separate detection and decoding of their received data streams. This paper explores possible DID receive strategies and proposes to exchange between base stations only the processed information for their associated mobile terminals. The resulting backhaul traffic is considerably lower than that of existing cooperative multiuser detection strategies. Single-antenna interference cancellation techniques are employed to generate local estimates of the dominant interferers at each base station, which are then combined with their independent received copies from other base stations, resulting in more effective interference suppression. Since hard information bits or quantized log-likelihood ratios (LLRs) are transferred, we investigate the effect of quantization of the LLR values with the objective of further reducing the backhaul traffic. Our findings show that schemes based on nonuniform quantization of the "soft bits" allow for reducing the backhaul to 1-2 exchanged bits/coded bit.