研究目的
To improve the multiplexing gain and spectral efficiency of cooperative communication by proposing a channel aware successive relaying protocol (CAO-SIR) that mitigates inter-relay interference through careful adaptation of relays’ transmission order and rate.
研究成果
The proposed CAO-SIR protocol effectively mitigates inter-relay interference through relay ordering and rate adaptation, achieving high spectral efficiency and near-optimal diversity-multiplexing tradeoff (DMT). The protocol's performance is validated through theoretical analysis and numerical simulations, showing significant improvements over conventional relaying protocols.
研究不足
The study assumes quasi-static or slow fading channels and perfect CSI feedback, which may not hold in fast fading or imperfect CSI scenarios. The complexity of relay selection and power allocation increases with the number of relays.
1:Experimental Design and Method Selection:
The paper proposes a channel aware successive relaying protocol (CAO-SIR) that adapts relays’ transmission order and rate to mitigate inter-relay interference. The protocol is analyzed and optimized based on an equivalent parallel relay channel model.
2:Sample Selection and Data Sources:
The study considers a cooperative communication system with a source node, a destination node, and M potential relays. The channel coefficients and gains are estimated through pilot-based channel estimation and CSI feedback.
3:List of Experimental Equipment and Materials:
The system model includes nodes with half-duplex constraints, time-slotted scheduling, and AWGN channels. The transmission power of each node is denoted by Pa = E{|Xa[k]|2}, and the transmitter side SNR is denoted by γa = Pa/σ
4:Experimental Procedures and Operational Workflow:
The CAO-SIR protocol involves re-ordering relays based on their link qualities to the source, scheduling transmissions in N + 1 timeslots, and adapting the data rate of messages based on channel quality. Interference cancellation is performed using a rate adaptation aided successive cancellation method.
5:Data Analysis Methods:
The performance of CAO-SIR is analyzed in terms of average throughput, outage probability, and diversity-multiplexing tradeoff (DMT). The analysis includes theoretical derivations and numerical simulations.
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