2009/03/03 by Xiaohu Shang, Shang, Xiaohu, Biao Chen +5 · 2 citations
Computer Science · Engineering · Mathematics · #Adjacent-channel interference #Advanced MIMO Systems Optimization #Advanced Wireless Communication Techniques #Channel (broadcasting) #Channel capacity #Co-channel interference #Combinatorics #Computer science #Electronic engineering #Engineering #FOS: Computer and information sciences #Gaussian #Information Theory (cs.IT) #Interference (communication) #Mathematics #Noise (video) #Physics #Power (physics) #Power Line Communications and Noise #Telecommunications #Topology (electrical circuits) #Transmission (telecommunications) #cs.IT #math.IT
paper · pdf · doi:10.48550/arxiv.0903.0595
published in arXiv (Cornell University) (Cornell University) · 32 pages, 8 figures, submitted to IEEE trans. on Information Theory in Feb
arxiv created 2009/03/03 · openalex publication_date 2009/03/03 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
The sum-rate capacity of the parallel Gaussian interference channel is shown to be achieved by independent transmission across sub-channels and treating interference as noise in each sub-channel if the channel coefficients and power constraints satisfy a certain condition. The condition requires the interference to be weak, a situation commonly encountered in, e.g., digital subscriber line transmission. The optimal power allocation is characterized by using the concavity of sum-rate capacity as a function of the power constraints.