具有因果观测的混合多址信道的容量
Capacity of a Mixed Multiple-Access Channel with Causal Observation
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中文总结 AI 辅助
本文确定了具有因果观测的混合二进制多址信道的容量区域,证明因果接收器通过学习状态可实现更大区域,在块长256时相比开环分配获得44.59%的容量增益。
中文摘要 AI 辅助
我们确定了混合二进制多址信道的容量区域,该信道的接收器可以选择每个观测的形成方式。两个端口以保留概率 $\pg>\pb$ 揭示传输符号的模二和;它们的角色由一个在块期间保持固定的未知状态互换。每个信道使用一次观测,无发射机反馈,且切换成本为零,对于低于1的每个固定错误阈值,该区域为 $R_1+R_2\le\pg$,并且强逆成立。对于低于二分之一的错误阈值,最大的开环和速率为 $(\pg+\pb)/2$,而固定端口仅允许 $\pb$。因果接收器通过从擦除标志中学习状态,同时利用每个信道使用进行数据传输,从而获得更大的区域。后验端口规则几乎必然只产生有限次错误选择,且预期错误次数一致有界。精确的随机线性码公式和输出计数逆界量化了有限块的影响。在块长256且 $(\pg,\pb)=(0.9,0.4)$ 的情况下,独立的数值验证支持在百分之一集合失败目标下达到214个消息比特,而同一码集合中最佳开环分配为148比特。由此产生的44.59%的增益是在相同的传输和观测预算下实现的。该分析展示了通过控制观测轴获得的显式容量增益,并将该增益与记录形成后丢失的信息分离开来。
英文摘要
We determine the capacity region of a mixed binary multiple-access channel whose receiver can choose how each observation is formed. Two ports reveal the sum modulo two of the transmitted symbols with retention probabilities $\pg>\pb$; their roles are interchanged by an unknown state that remains fixed during the block. With one observation per channel use, no transmitter feedback, and zero switching cost, the region is $R_1+R_2\le\pg$ for every fixed error threshold below one, and a strong converse holds. For error thresholds below one half, the largest open-loop sum rate is $(\pg+\pb)/2$, whereas a fixed port permits only $\pb$. A causal receiver attains the larger region by learning the state from erasure flags while using every channel use for data. A posterior port rule makes only finitely many incorrect selections almost surely, with a uniformly bounded expected number of mistakes. Exact random linear-code formulas and output-counting converses quantify the finite-block consequences. At blocklength 256 with $(\pg,\pb)=(0.9,0.4)$, independent numerical validation supports 214 message bits at a one-percent ensemble failure target, compared with 148 bits for the best open-loop allocation in the same code ensemble. The resulting 44.59\% increase is achieved with the same transmission and observation budgets. The analysis exhibits an explicit capacity gain from controlling the observation axis and separates that gain from information lost after a record has already been formed.
发表机构
- Hefei University of Technology(合肥工业大学)
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