To Decode the Interference or To Consider it as Noise
Abolfazl S. Motahari, Amir K. Khandani

TL;DR
This paper proposes a decoding strategy for channels with multiple interfering users, allowing the receiver to decode some interferers and treat others as noise, achieving the channel's capacity with an efficient algorithm.
Contribution
It introduces a method to partition interfering users into decodable and non-decodable sets, optimizing achievable rates and providing a polynomial-time algorithm for maximum decodable subset detection.
Findings
Gaussian distribution is optimal for the additive Gaussian channel with interference.
The proposed method achieves the channel capacity.
An efficient polynomial-time algorithm finds the maximum decodable set.
Abstract
We address single-user data transmission over a channel where the received signal incurs interference from a finite number of users (interfering users) that use single codebooks for transmitting their own messages. The receiver, however, is allowed to decode interfering users' messages. This means the signal transmitted from any interfering user is either decoded or considered as noise at the receiver side. We propose the following method to obtain an achievable rate for this channel. Assuming its own data is decoded successfully, the receiver partitions the set of interfering users into two disjoint subsets, namely the set of decodable users and the set of non-decodable users. Then the transmitter's rate is chosen such that the intended signal can be jointly decoded with the set of decodable users. To show the strength of this method, we prove that for the additive Gaussian channel…
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Taxonomy
TopicsCooperative Communication and Network Coding · Advanced MIMO Systems Optimization · Wireless Communication Security Techniques
