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Rate Splitting and Successive Decoding for Gaussian Interference Channels
IEEE Transactions on Information Theory ( IF 2.5 ) Pub Date : 2021-01-20 , DOI: 10.1109/tit.2021.3053166
Ali Haghi 1 , Amir K. Khandani 1
Affiliation  

Most coding schemes proposed for the interference channel take advantage of joint decoding to enlarge rate region. However, decoding complexity escalates considerably when joint decoding is used. This paper studies the achievable sum-rate of the two-user Gaussian interference channel when joint decoding is replaced by successive decoding. First, the strong interference class is examined, and it is proved that if transmitters’ powers satisfy certain conditions, successive decoding is optimal and achieves the sum-capacity. The number of the required splits, the amount of power allocated to each split, and the order of decoding at receivers are explicitly determined. Second, the weak interference class is examined. A novel rate-splitting scheme is proposed that does not use joint decoding. The number of required splits and the amount of power allocated to each split are expressed in closed forms. It is shown that, for a wide range of transmitters’ powers, this scheme achieves the sum-rate of the Gaussian Han-Kobayashi scheme. Moreover, it is proved that the difference between the sum-rate of this scheme and that of the Gaussian Han-Kobayashi scheme is bounded, for all values of transmitters’ powers.

中文翻译:

高斯干扰信道的速率分裂和连续解码

针对干扰信道提出的大多数编码方案都利用联合解码来扩大速率区域。然而,当使用联合解码时,解码复杂度显着提高。研究了用连续解码代替联合解码时两用户高斯干扰信道的可实现总和。首先,研究了强干扰等级,并证明了如果发射机的功率满足一定条件,则连续解码是最佳的,并且达到了和容量。明确确定所需的分割数,分配给每个分割的电量以及接收器的解码顺序。第二,检查弱干扰等级。提出了一种不使用联合解码的新颖速率分离方案。所需拆分的数量和分配给每个拆分的电量以封闭形式表示。结果表明,对于大范围的发射机功率,该方案达到了高斯Han-Kobayashi方案的总和。此外,证明了该方案的求和率与高斯Han-Kobayashi方案的求和率之差对于发射机功率的所有值都是有限的。
更新日期:2021-02-19
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