For IDMA with low-cost Gaussian-approximation detection, the K-user MSE tuple forms a conservative field whose potential equals the achievable rate, so sum-rate capacity is reached independently of integration path.
An MSE-Based Transfer Chart for Analyzing Iterative Decoding Schemes Using a Gaussian Approximation
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MSE tuples of GA-based MUD in IDMA constitute a conservative vector field with achievable rate as its potential, enabling path-independent capacity achievement.
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Achievable Rate Region for Iterative Multi-User Detection via Low-cost Gaussian Approximation
For IDMA with low-cost Gaussian-approximation detection, the K-user MSE tuple forms a conservative field whose potential equals the achievable rate, so sum-rate capacity is reached independently of integration path.
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Achievable Rate Region for Iterative Multi-User Detection via Low-cost Gaussian Approximation
MSE tuples of GA-based MUD in IDMA constitute a conservative vector field with achievable rate as its potential, enabling path-independent capacity achievement.