Abstract:This paper considers a multiuser full-duplex (FD) wireless communication system, where a FD radio base station (BS) serves multiple single-antenna half-duplex (HD) uplink and downlink users simultaneously. Unlike conventional interference mitigation approaches, we propose to use the knowledge of the data symbols and the channel state information (CSI) at the FD radio BS to exploit the multi-user interference constructively rather than to suppress it. We propose a multi-objective optimisation problem (MOOP) via… Show more
“…In addition, they treat the SI signal as an undesired additive distortion. Whereas, it is justified from the information theoretic definition of mutual information that treating the SI term as mere interference will result in a loss of useful information [24], [25]. Moreover, both research studies did not investigate whether the HWIs exhibit symmetric or asymmetric distortion characteristics.…”
“…In addition, they treat the SI signal as an undesired additive distortion. Whereas, it is justified from the information theoretic definition of mutual information that treating the SI term as mere interference will result in a loss of useful information [24], [25]. Moreover, both research studies did not investigate whether the HWIs exhibit symmetric or asymmetric distortion characteristics.…”
“…Note that, w.r.t. [23] here we include the receive beamforming in the MOOP instead of assuming a ZF receiver. It can be observed that, due to the substitution of the conventional downlink SINR constraint with the CI SINR constraint, the constraint B1 is now convex.…”
Section: Moop Based On Constructive Interferencementioning
confidence: 99%
“…Most relevant to the focus of this paper are [21]- [23]. The authors in [21] investigated the power efficient resource allocation for a MU-MIMO FD system.…”
Section: Introductionmentioning
confidence: 99%
“…They extended their work to a robust and secure FD system model in the presence of roaming users (eavesdroppers) in [22]. In [23], the concept of interference exploitation in multiuser FD systems was presented, where the knowledge of the downlink data symbols at the FD BS was utilized to constructively exploit interference rather than suppress it. In addition to the significant power savings achieved compared to the existing solutions, it was shown that although the concept of constructive interference was applied for downlink transmission, the benefits extend to uplink transmission.…”
In this paper, we consider a multiuser single-cell transmission facilitated by a full duplex (FD) base station (BS). We formulate two multi-objective optimization problems (MOOPs) via the weighted Tchebycheff method to jointly minimize the two desirable system design objectives namely the total downlink and uplink transmit power. In the first MOOP, multiuser interference is suppressed while in the second MOOP, multiuser interference is rather exploited. In order to solve the non-convex MOOPs, we propose a two-step iterative algorithm to optimize jointly the receive beamformer, transmit beamformer and uplink transmit power, respectively. Simulation results show the proposed scheme achieves a scalable performance-complexity trade-off that allows performance improvements compared to existing solutions.
“…While the proposed schemes have been specifically tailored for Phase-Shift Keying (PSK) modulation scenarios, recent works have shown that such concepts can be readily adapted to accommodate CI exploitation in Quadrature Amplitude Modulation (QAM) [40], [41]. In fact, the authors in [42] have proven that the benefits of CI can extend to 16-QAM modulations by allowing the predictable interference at the BS to constructively superimpose with the desired signal at the receiver side.…”
We propose several low-complexity Transmit Antenna Selection (TAS) and precoding schemes for Massive multi-input multi-output (M-MIMO). It is well established that large antenna arrays in M-MIMO lead to particularly high hardware overheads as they require an equally large number of radio-frequency chains, and antenna selection is envisaged as a solution to reducing this hardware complexity. Accordingly, in the proposed schemes, both hardware and computational complexity of M-MIMO systems are addressed by jointly optimizing TAS and precoding. We first introduce a mixed-integer programming approach that simultaneously identifies the transmitting antennas subset and solves the precoding problem, by employing a unified metric based on Constructive Interference (CI) concept. We then propose three sub-optimal techniques that allow a reduction of the computational complexity required to solve the joint optimization. Our analyses and results prove that the proposed joint TAS and precoding schemes based on CI exploitation are able to outperform the state-of-the-art, while providing a favorable performance-complexity trade-off.
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