Abstract
This paper considers a two-transmitter and two-receiver interference channel (IC), where each transmitter sends a message to its desired receiver. In particular, the full-duplex (FD) amplify-and-forward (AF) protocol is adopted to build up the receiver cooperations: each receiver can receive the signals from the two transmitters and two receivers, and after self-interference (SI) cancellation and message decoding, it forwards them to its counterpart. With the above scheme, the equivalent channel model is analyzed, and the statistics of the accumulated residual interference and noise (ARIN), generated by the imperfect SI cancellation and the AF scheme at the receivers, is calculated by mathematical induction. Then, the achievable rate regions of both the single-user and joint decoding schemes are derived. It is proved that one-side cooperation, i.e., only one of the two receivers forwards its counterpart’s signal, is optimal to achieve the best system performance. Next, to characterize the obtained rate regions, the rate maximization problems are formulated and approximately solved by a sequential parametric convex approximation (SPCA) method. Simulation results show that the proposed scheme can improve the achievable rate compared to the conventional non-cooperative scheme in several typical scenarios.
Highlights
For the upcoming 5G wireless communications, a large number of base stations (BSs) are densely deployed in one area, and the distances between the mobile terminals and BSs can be significantly reduced, which is promising to achieve higher energy efficiency and larger throughput [1]
The main contributions of this paper are summarized as follows: 1) First, we propose an in-band FD receiver cooperations framework with the AF scheme for a two-user Gaussian interference channel (IC) and analyze the equivalent channel model
In [30], it has been proved that when the approximation function of g(v), i.e., G(v, y), satisfies three conditions, i.e., g(v) ≥ G(v, y), g(vl−1) = G(vl−1, y), and ∇g(vl−1) = ∇G(vl−1, y), at the l-th iteration, the generated sequence {vl } by using the sequential parametric convex approximation (SPCA) algorithm will converge to a stationary point which satisfies the Karush-Kuhn-Tucker conditions of the original problems
Summary
For the upcoming 5G wireless communications, a large number of base stations (BSs) are densely deployed in one area, and the distances between the mobile terminals and BSs can be significantly reduced, which is promising to achieve higher energy efficiency and larger throughput [1]. The authors in [16] investigated the outer bounds on the capacity region for the two-user Gaussian IC with in-band receiver cooperations, and both the CF and DF schemes were applied to derive the achievable rates for both the asynchronous and synchronous cases. The authors in [17] employed a coding scheme based on superposition [4] and derived some new upper bounds on the sum rate for the case of symmetric in-band receiver cooperations. E(X ) represents the mathematical expectation of a random variable X
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