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IEEE Wireless Communications and Networking Conference (WCNC)

作者： Argyriou, Antonios Univ Thessaly Dept Elect & Comp Engn Volos Greece

ISBN: (纸本)9781479930838

In this paper we propose a cooperative protocol and a symbol decoding algorithm that target improved performance in the presence of inter-cell interference (ICI) in wireless cellular networks. Our scheme uses the wireless signals that interfere at relay nodes located at the cell edge instead of discarding them. The relays are non-regenerative and apply a space-time code (STC) to the interfered signal. Subsequently, the relays broadcast the coded signals. At the destinations the interfered and ST-coded signals are decoded in two stages. First by decoding the STC, and then by applying successive interference cancellation (SIC). Simulation results for Rayleigh fading channel reveal significant throughput benefits even in the low SNR regime. We also present results for a small-scale LTE-based cellular scenario and we compare our scheme against the Coordinated MultiPoint (CoMP) transmission mode of LTE-A that is based on beamforming.

关键词： interference decoding cooperative protocol Alamouti code space-time block coding distributed space-time coding physical layer network coding wireless networks ICI LTE-A

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An Alternative To decoding interference or Treating interference As Gaussian Noise

An Alternative To Decoding Interference or Treating Interfer...

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IEEE International Symposium on Information Theory (ISIT)

作者： Moshksar, Kamyar Ghasemi, Akbar Khandani, Amir K. Univ Waterloo Dept Elect & Comp Engn Waterloo ON N2L 3G1 Canada

ISBN: (纸本)9781457705953

This paper addresses the following question regarding Gaussian networks: Is there an alternative to decoding interference or treating interference as Gaussian noise? By answering this question we aim to establish a benchmark for practical systems where multiuser decoding is not a common practice. To state our result, we study a decentralized network of one Primary User (PU) and one Secondary User (SU) modeled by a two-user Gaussian interference channel. The primary transmitter is constellation-based, i.e., PU is equipped with a modulator and its code-book is constructed over a modulation signal set. SU utilizes random Gaussian codewords with controlled transmission power that guarantees a certain level of interference-to-Noise Ratio (INR) at the primary receiver. Both users are unaware of each other's code-book, however, SU is smart in the sense that it is aware of the constellation set of PU. While interference at the primary receiver is modeled as additive Gaussian noise, the secondary receiver can utilize the structure of PU's modulator as side information to decode its message without decoding the message of pu. The instantaneous realizations of symbols in a codeword transmitted by PU are unknown to both ends of SU's direct link, however, the sample space of such symbols is available to SU. This makes the interference plus noise at the secondary receiver be a mixed Gaussian process. Invoking entropy power inequality and an upper bound on the differential entropy of a mixed Gaussian vector, we develop an achievable rate for SU that is robust to the structure of PU's modulation signal set and only depends on its constellation size and the dimension of the euclidean space that the constellation points lie in. Moreover, we obtain an achievable rate for PU using Fano's inequality in conjunction with a Gallager-type upper bound on the probability of error in decoding constellation points at the primary receiver. The developed achievable rates for PU and SU enable us t

关键词： AWGN Encoding Fano inequality Gallager-type upper bound Gaussian networks PU modulator Receivers Strontium additive Gaussian noise channel coding decentralized network differential entropy codes entropy codes entropy power inequality error probability error statistics euclidean space interference decoding interference-to-noise ratio mixed Gaussian vector modulation signal set modulators multiuser decoding network coding primary receiver primary transmitter primary user radiofrequency interference random Gaussian codewords random codes secondary receiver secondary user two-user Gaussian interference channel

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Energy Efficient Cooperative Strategies for Relay-Assisted Downlink Cellular Systems

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IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 2014年第11期32卷 2075-2089页

作者： Rini, Stefano Kurniawan, Ernest Ghaghanidze, Levan Goldsmith, Andrea Tech Univ Munich Inst Commun Engn D-80290 Munich Germany Tech Univ Munich D-80290 Munich Germany Stanford Univ Dept Elect Engn Stanford CA 94305 USA Stanford Univ Sch Engn Stanford CA 94305 USA Stanford Univ Stanford CA 94305 USA

The impact of cognitive radio techniques on the energy efficiency of a downlink cellular system in which multiple relays assist the transmission of the base station toward multiple receivers is studied. In particular, the fundamental tradeoff between the power consumption at the base station and the level of cooperation at the relay nodes is investigated. By increasing its transmit power, the base station can distribute the same message to multiple relays. In turn, the common knowledge at the relays enables cooperation, which results in a reduction in the power consumption due to interference management and coherent combining gains. This implies that the overall power efficiency can potentially be improved by an increase in the power consumption at the base station. We employ an information-theoretical analysis of the attainable power efficiency based on the chain graph representation of achievable schemes. This novel theoretical tool uses a graphical Markov model to represent coding operations and allows for the automatic derivation of achievable rate regions for general networks. This approach provides an effective tool to analyze the relationship between the energy consumption at the base station and power savings provided by relay cooperation through the use of transmission strategies such as superposition coding, interference decoding and rate-splitting. We present numerical evaluations for the scenario in which two relay nodes aid the communication between the base station and three receivers. These evaluations show that cooperative strategies at the relays provide clear advantages as compared to the non-cooperative scenario for varying channel conditions and target rates.

关键词： Energy efficiency Relay network Downlink cellular system Superposition coding interference decoding Rate-splitting

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Capacity Results for the Multicast Cognitive interference Channel

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IEEE TRANSACTIONS ON INFORMATION THEORY 2017年第7期63卷 4119-4136页

作者： Benammar, Meryem Piantanida, Pablo Shamai (Shitz), Shlomo Huawei Technol Co Ltd France Res Ctr Math & Algorithm Sci Lab F-92100 Boulogne Billancourt France Univ Paris Sud CNRS L2S UMR 8506Cent Supelec F-91190 Gif Sur Yvette France Technion Dept Elect Engn IL-3200003 Haifa Israel

The capacity region of the multicast Cognitive Inter-Ference Channel (CIFC) is investigated. This channel consists of two independent transmitters that wish to multicast two different messages, each to a different set of users. In addition, one of the transmitters-commonly referred to as the cognitive transmitter-has prior non-causal knowledge of both messages to be transmitted. This scenario subsumes some long-standing open problems, such as the interference channel, the broadcast channel, and multicast communications. The aim of this paper is the derivation of optimal interference mitigation techniques under different interference regimes. To this end, two settings, namely the multi-primary CIFC, i.e., M = 1 and N >= 1, and its complementary, the multi-secondary CIFC, i.e., N = 1 and M >= 1, are investigated as an attempt to build a thorough understanding for the more general multicast CIFC setting. It is shown that, for some interference regimes, well-known coding techniques for the standard CIFC remain still optimal under the constraint of multicasting to multiple users. However, in other interference regimes, capacity achieving coding and decoding schemes prove to be more involved. A careful combination of these coding schemes and new outer bounding techniques allows to characterize the capacity region for several classes of discrete memoryless and Gaussian multicast CIFC under different interference regimes.

关键词： Cognitive interference channel multiple description coding multicasting compound interference channel interference decoding interference precoding

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Simultaneous Wireless Information and Power Transfer for Internet of Things Sensor Networks

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IEEE INTERNET OF THINGS JOURNAL 2018年第4期5卷 2829-2843页

作者： Chae, Sung Ho Jeong, Cheol Lim, Sung Hoon Chosun Univ Dept Elect Engn Gwangju 61452 South Korea Dongshin Univ Dept Energy IoT Naju 58245 South Korea Korea Inst Ocean Sci & Technol Dept ICT Res Unit Busan 49111 South Korea

In this paper, we study simultaneous wireless information and power transfer (SWIPT) for Internet of Things (IoT) sensor networks. The transmitters (e.g., access point) employ hybrid beamforming and each IoT receiver adopts a power splitting (PS) method that divides the received signal into two parts for information recovery and energy harvesting. We propose a novel strategy for SWIPT in which the transmitters have the option to either send a private or a common message. The private message is recovered only by a designated IoT receiver while common messages are recovered by all the receivers. While requiring the receivers to recover a common message results in additional rate constraints, the overall system performance benefits by mitigating interference. We propose SWIPT schemes that minimize the total transmit power by properly selecting message configurations, designing hybrid beamforming vectors, and adjusting the PS ratio at the receivers to satisfy the individual rate and energy harvesting constraints. In particular, we develop tractable and efficient two-stage algorithms that, in the first stage determine the message configurations and in the second stage find the beamforming vectors (for both analog and digital components). Numerical simulations demonstrate that the proposed schemes significantly outperform conventional schemes that transmit private messages only using digital beamforming.

关键词： Hybrid beamforming interference channel interference decoding Internet of Things (IoT) semidefinite programming (SDP) sensor networks simultaneous wireless information and power transfer (SWIPT)

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On Rate-Splitting With Non-Unique decoding in Multi-Cell Massive MIMO Systems

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IEEE TRANSACTIONS ON COMMUNICATIONS 2022年第9期70卷 5929-5945页

作者： Motlagh, Meysam Shahrbaf Majhi, Subhajit Mitran, Patrick Ochiai, Hideki Univ Waterloo Dept Elect & Comp Engn Waterloo ON N2L 3G1 Canada BLiNQ Networks Markham ON L3R 6B3 Canada Qualcomm India Hyderabad 500081 Andhra Pradesh India Yokohama Natl Univ Dept Elect & Comp Engn Yokohama Kanagawa 2408501 Japan

We consider the downlink of a multi-cell massive MIMO system suffering from asymptotic rate saturation due to pilot contamination. As opposed to treating pilot contamination interference as noise (TIN), we study the performance of decoding the pilot contamination interference. We model pilot-sharing users as an interference channel (IC) and study the performance of schemes that decode this interference partially based on rate-splitting (RS), and compare the performance to schemes that decode the interference in its entirety based on simultaneous unique decoding (SD) or non-unique decoding (SND). For RS, we non-uniquely decode each layer of the pilot contamination interference and use one common power splitting coefficient per IC. Additionally, we establish an achievable region for this RS scheme. Solving a maximum symmetric rate allocation problem based on linear programming (LP), we show that for zero-forcing (ZF) with spatially correlated/uncorrelated channels and with a practical number of BS antennas, RS achieves significantly higher spectral efficiencies than TIN, SD and SND. Furthermore, we numerically examine the impact of increasing the correlation of the channel across antennas, the number of users as well as the degree of shadow fading. In all cases, we show that RS maintains significant gain over TIN, SD and SND.

关键词： decoding interference Tin Contamination Downlink Antennas Massive MIMO Massive MIMO pilot contamination rate-splitting non-unique decoding interference decoding

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On the Capacity of the Cognitive interference Channel with a Relay

On the Capacity of the Cognitive Interference Channel with a...

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IEEE Wireless Communications and Networking Conference (WCNC)

作者： Reategui, Fernando Imran, Muhammad Ali Tafazolli, Rahim Univ Surrey Guildford GU2 5XH Surrey England

ISBN: (纸本)9781479930838

interference forwarding has been shown to be beneficial in the interference channel with a relay as it enlarges the strong interference region, allowing the decoding of the interference at the receivers for larger ranges of the channel gains. In this work we demonstrate the benefit of adding a relay to the cognitive interference channel. We pay special attention to the effect of interference forwarding in this configuration. Two setups are presented. In the first, the interference forwarded by the relay is the primary user's signal, and in the second, this is the cognitive user's signal. We characterise the capacity regions of these two models in the case of strong interference. We show that as opposed to the first setup, in the second setup the capacity region is enlarged, compared to the capacity region of the cognitive interference channel, when the relay does not help the intended receiver.

关键词： cognitive radio radiofrequency interference relay networks (telecommunication) wireless channels channel gains cognitive interference channel interference channel interference decoding interference forwarding interference region primary user signal relay decoding Encoding interference channels Radio transmitters Receivers Relays interference channels relay capacity region Receivers Radiofrequency interference wireless channels decoding RADIO TRANSMITTERS Cognitive radio

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