Abstract
This paper considers a Gaussian interference channel (IC), where two transmitters send two messages to two receivers respectively. By utilizing the in-band full-duplex (FD) amplify-and-forward (AF) scheme, transmitter cooperations are deployed to enhance the system performance. In particular, each transmitter is capable of listening to its counterpart and then simultaneously transmits both the source signals to achieve higher power gain. Based on the proposed scheme, the equivalent channel model as well as the statistics of the accumulated residual self-interference and noise (ARIN) introduced by the transmitter cooperations and imperfect self-interference (SI) cancellation is analyzed. With the joint and single-user decoding schemes, the corresponding achievable rate regions are derived and a two-stage iterative algorithm is proposed to characterize these regions: in each step, fix the covariance matrix of the interferences and noises, and then adopt a two-step iterative semidefinite relaxation (SDR) method to optimize the two transmitters' transmission parameters, respectively. Simulation results reveal that the proposed scheme can significantly improve the achievable rate under several channel conditions.
Highlights
For the forthcoming 5G cellular systems, interference management is one of the most crucial tasks for physical-layer transmissions and network-level user scheduling, especially in the ultra dense networks, where numerous randomly deployed access points and mobile users are located within an area of interest [1]
For the two-user interference channel (IC) case, the best known achievable result was obtained by Han and Kobayashi by the following scheme [4]: Each source message is split into two sub-messages, one as a common message decoded by both the receivers and one as a private message decoded by the intended receiver; each receiver decodes its desired message and the common message from the other transmitter, and the private message from the undesired receiver is treated as interference
We show that the channel for the considered system is equal to a two-tap multiple access channel (MAC) channel, with the additive noise determined by the accumulated residual self-interference and noise (ARIN)
Summary
For the forthcoming 5G cellular systems, interference management is one of the most crucial tasks for physical-layer transmissions and network-level user scheduling, especially in the ultra dense networks, where numerous randomly deployed access points and mobile users are located within an area of interest [1]. For the two-user Gaussian IC with source cooperations, HøstMadsen [13] derived the upper bounds for the capacity region and the DF scheme and dirty paper coding were applied to obtain the achievable rate for both the asynchronous and synchronous transmitter cases, respectively. 3) under the stationary state, we derive the average achievable rate regions for the IC based on the joint decoding and single-user decoding schemes To characterize these regions, we adopt a two-stage iterative algorithm: First, the covariance matrix for the interference and noise of the equivalent two-tap channel are fixed, as well as the power of the ARIN, and the transmission parameters are optimized by utilizing a two-step iterative method, with each step alternatively optimizing each transmitter’s transmission parameters using a semidefinite relaxation (SDR) approach; the covariance matrix and the power of the ARIN are updated with the obtained transmission parameters.
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