Multi-Cell Interference Exploitation: Enhancing the Power Efficiency in Cell Coordination

Wei, Zhongxiang; Masouros, Christos; Wong, Kai-Kit; Kang, Xin

doi:10.1109/twc.2019.2946818

Cited by 33 publications

(37 citation statements)

References 44 publications

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“…As a result, the DER by the MMSE precoder is occasionally maintained at high receive SNR. On the other hand, the symbol error rate (SER) [17] performance is demonstrated in Fig. 1(b).…”

Section: Simulation Resultsmentioning

confidence: 99%

Physical Layer Anonymous Communications

Wei

Liu

Masouros

2020

2020 IEEE Globecom Workshops (GC WKSHPS

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In the era of the big data, anonymity is recognized as an important attribute in privacy-preserving communications. The existing anonymous authentication, encryption, routing and protocols are applied at higher layers of networks, and ignore the fact that physical layer (PHY) also contains privacy-critical information, such as the signalling patterns and the inherent characteristics of channel fading. These can be used to identify traffic patterns and reveal users' identities, inflicting an unprecedented vulnerability to potential anonymity-violating behavior. Hence, privacy threats start from the acquisition of data, which necessitates complementary privacy solutions that reside at PHY. In this paper, we introduce the concept of PHY anonymity, and reveal the fact that the receiver is able to unmask the sender's identity by only analysing the PHY information. We first propose a novel sender detection strategy at the receiver, and then we develop a corresponding anonymous precoding design to address sender's anonymity while guaranteeing high receive signal-to-interference-plus-noise ratio (SINR) for communications. Simulation verifies that the proposed anonymous precoder is able to preserve anonymity and simultaneously guarantee high receive performance for communication purpose, opening a new dimension on anonymous designs at PHY.

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“…As a result, the DER by the MMSE precoder is occasionally maintained at high receive SNR. On the other hand, the symbol error rate (SER) [17] performance is demonstrated in Fig. 1(b).…”

Section: Simulation Resultsmentioning

confidence: 99%

Physical Layer Anonymous Communications

Wei

Liu

Masouros

2020

2020 IEEE Globecom Workshops (GC WKSHPS

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“…The formulated problems are discussed for the case when only imperfect CSI is known as well as the case when the CSI of the Eves is completely unknown. In addition, CI precoding has also been extended to a multi-cell scenario in [218] based on both deterministic optimization and probabilistic optimization, where several coordination schemes are proposed for downlink transmission. A fullycoordinated strategy is firstly considered, where both the intracell interference and the inter-cell interference are exploited for performance improvements based on the CI formulation, by sharing the information of both the channel and data symbols among the BSs.…”

Section: E Multi-cell Distributed Antennas (Das)mentioning

confidence: 99%

A Tutorial on Interference Exploitation via Symbol-Level Precoding: Overview, State-of-the-Art and Future Directions

Spano

Krivochiza

et al. 2020

IEEE Commun. Surv. Tutorials

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190

127

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Interference is traditionally viewed as a performance limiting factor in wireless communication systems, which is to be minimized or mitigated. Nevertheless, a recent line of work has shown that by manipulating the interfering signals such that they add up constructively at the receiver side, known interference can be made beneficial and further improve the system performance in a variety of wireless scenarios, achieved by symbol-level precoding (SLP). This paper aims to provide a tutorial on interference exploitation techniques from the perspective of precoding design in a multi-antenna wireless communication system, by beginning with the classification of constructive interference (CI) and destructive interference (DI). The definition for CI is presented and the corresponding mathematical characterization is formulated for popular modulation types, based on which optimization-based precoding techniques are discussed. In addition, the extension of CI precoding to other application scenarios as well as for hardware efficiency is also described. Proof-of-concept testbeds are demonstrated for the potential practical implementation of CI precoding, and finally a list of open problems and practical challenges are presented to inspire and motivate further research directions in this area.

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“…Furthermore, the LUs can still correctly detect the received signal with the increased DoFs at the transmitter. The CI concept has been thoroughly discussed in the recent literature, and to avoid extensive repetition we refer the readers to [37] for details. According to the geometrical interpretation in Fig.…”

Section: A System Modelmentioning

confidence: 99%

Secure Directional Modulation With Few-Bit Phase Shifters: Optimal and Iterative-Closed-Form Designs

Wei

Masouros

Liu

2021

IEEE Trans. Commun.

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In this paper, directional modulation (DM) is investigated to enhance physical layer security. Practical transmitter designs are exploited under imperfect channel state information (CSI) and hardware constraints, such as finite-resolution phase shifters (PSs) and per-antenna power budget. Tailored for the practical issues in realizing DM, a series of practical scenarios are investigated. Starting from the scenario where eavesdroppers (Eve)s' information is completely unknown, corresponding designs are proposed to optimize legitimate users (LU)s' receiving performance while randomizing the Eves' received signal. When the Eves' CSI is imperfectly known, in the second scenario, the Eves' receiving performance is further deteriorated by imposing destructive interference to the Eves. For each scenario, three algorithms are proposed under hardware constraints and imperfect CSI, i.e. one direct-mapping algorithm suitable for high/moderate number of bits in PSs, one heuristic algorithm with improved receiving performance at the cost of complexity, and one iterativeclosed-form algorithm with enhanced practicality of symbol-level based DM. Simulation demonstrates that the algorithms achieve lower symbol error rate (SER) at the LUs while significantly deteriorating the Eves' SER, leading to an improved secrecy throughput over the benchmarks.

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Multi-Cell Interference Exploitation: Enhancing the Power Efficiency in Cell Coordination

Cited by 33 publications

References 44 publications

Physical Layer Anonymous Communications

Physical Layer Anonymous Communications

A Tutorial on Interference Exploitation via Symbol-Level Precoding: Overview, State-of-the-Art and Future Directions

Secure Directional Modulation With Few-Bit Phase Shifters: Optimal and Iterative-Closed-Form Designs

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