In this paper,we investigate networkassisted full-duplex(NAFD)cell-free millimeter-wave(mmWave)massive multiple-input multiple-output(MIMO)systems with digital-to-analog converter(DAC)quantization and fronthaul compre...In this paper,we investigate networkassisted full-duplex(NAFD)cell-free millimeter-wave(mmWave)massive multiple-input multiple-output(MIMO)systems with digital-to-analog converter(DAC)quantization and fronthaul compression.We propose to maximize the weighted uplink and downlink sum rate by jointly optimizing the power allocation of both the transmitting remote antenna units(T-RAUs)and uplink users and the variances of the downlink and uplink fronthaul compression noises.To deal with this challenging problem,we further apply a successive convex approximation(SCA)method to handle the non-convex bidirectional limited-capacity fronthaul constraints.The simulation results verify the convergence of the proposed SCA-based algorithm and analyze the impact of fronthaul capacity and DAC quantization on the spectral efficiency of the NAFD cell-free mmWave massive MIMO systems.Moreover,some insightful conclusions are obtained through the comparisons of spectral efficiency,which shows that NAFD achieves better performance gains than cotime co-frequency full-duplex cloud radio access network(CCFD C-RAN)in the cases of practical limited-resolution DACs.Specifically,their performance gaps with 8-bit DAC quantization are larger than that with1-bit DAC quantization,which attains a 5.5-fold improvement.展开更多
To accurately assess the performance of cooperative multiple packet reception （MPR） based on network-assisted diversity multiple access （NDMA）, non-ideal collision detection is introduced in ALLIANCES （ALLow impr...To accurately assess the performance of cooperative multiple packet reception （MPR） based on network-assisted diversity multiple access （NDMA）, non-ideal collision detection is introduced in ALLIANCES （ALLow improved access in the network via cooperation and energy savings）. To provide a unified anatysis frame- work, the length of cooperative transmission epoch is fixed to the detected collision order. The mathematical analysis of potential throughput （PTP） and potential packet loss rate （PPLR） are given under a pessimistic assumption and an optimistic assumption. According to the analysis of PTP and PPLR, threshold selection is done to optimize system performances, e.g. the optimal threshold should guarantee PTP to be maximum or guarantee PPLR to be minimum. In simulations, the thresholds are selected according to PTP under the pessimistic assumption. Simulation results show that the proposed cooperative MPR scheme can achieve higher throughput than NDMA and slotted ALOHA schemes.展开更多
Integrated Sensing And Communication(ISAC)is regarded as a promising technology for facilitating the rapid advancement of Sixth-Generation(6G)due to its concurrent transmission of information and environmental sensing...Integrated Sensing And Communication(ISAC)is regarded as a promising technology for facilitating the rapid advancement of Sixth-Generation(6G)due to its concurrent transmission of information and environmental sensing capabilities.Rate-Splitting Multiple Access(RSMA),through the utilization of Successive Interference Cancellation(SIC)and Rate-Splitting(RS)at the transceiver,can fulfill the sensing requirement and supersede individual radar sequence to mitigate the interference between communication and sensing.This paper investigates the transceiver design of the RSMA-assisted ISAC in a Network-Assisted Full-Duplex(NAFD)cell-free Massive Multiple-Input Multiple-Output(mMIMO)system.We first derive the expressions of the communication achievable data rate and radar sensing Signal to Interference plus Noise Ratio(SINR).Subsequently,an optimization problem is formulated to maximize the communication achievable data rate,subject to both radar sensing constraints and fronthaul constraints,an effective algorithm based on sparse beamforming scheme and Semi-Definite Relaxation(SDR)is then proposed to acquire the near-optimal transceiver.Numerical results demonstrate that the application of RSMA technology in ISAC systems can significantly enhance system performance,and reveal that Dual-Functionalities Radar-Communication(DFRC)scheme can achieve higher data rate than the traditional scheme.展开更多
基金supported in part by the National Natural Science Foundation of China(NSFC)under Grants 61971127,61871465,61871122in part by the National Key Research and Development Program under Grant 2020YFB1806600in part by the open research fund of National Mobile Communications Research Laboratory,Southeast University under Grant 2022D11。
文摘In this paper,we investigate networkassisted full-duplex(NAFD)cell-free millimeter-wave(mmWave)massive multiple-input multiple-output(MIMO)systems with digital-to-analog converter(DAC)quantization and fronthaul compression.We propose to maximize the weighted uplink and downlink sum rate by jointly optimizing the power allocation of both the transmitting remote antenna units(T-RAUs)and uplink users and the variances of the downlink and uplink fronthaul compression noises.To deal with this challenging problem,we further apply a successive convex approximation(SCA)method to handle the non-convex bidirectional limited-capacity fronthaul constraints.The simulation results verify the convergence of the proposed SCA-based algorithm and analyze the impact of fronthaul capacity and DAC quantization on the spectral efficiency of the NAFD cell-free mmWave massive MIMO systems.Moreover,some insightful conclusions are obtained through the comparisons of spectral efficiency,which shows that NAFD achieves better performance gains than cotime co-frequency full-duplex cloud radio access network(CCFD C-RAN)in the cases of practical limited-resolution DACs.Specifically,their performance gaps with 8-bit DAC quantization are larger than that with1-bit DAC quantization,which attains a 5.5-fold improvement.
基金supported by the National Natural Science Foundation of China(60972039)the National High-Tech Research and Development Program of China(2009AA01Z241)+2 种基金the Key Grant and Basic Research Programs of Natural Science Fund for Higher Education of Jiangsu Province(06KJA51001)the Project Key Grant Research Programs of Natural Science Fund of Science and Technology Department of Jiangsu Province(BK2007729)the Natural Science Fund for Higher Education of Jiangsu Province(09KJB510012).
文摘To accurately assess the performance of cooperative multiple packet reception （MPR） based on network-assisted diversity multiple access （NDMA）, non-ideal collision detection is introduced in ALLIANCES （ALLow improved access in the network via cooperation and energy savings）. To provide a unified anatysis frame- work, the length of cooperative transmission epoch is fixed to the detected collision order. The mathematical analysis of potential throughput （PTP） and potential packet loss rate （PPLR） are given under a pessimistic assumption and an optimistic assumption. According to the analysis of PTP and PPLR, threshold selection is done to optimize system performances, e.g. the optimal threshold should guarantee PTP to be maximum or guarantee PPLR to be minimum. In simulations, the thresholds are selected according to PTP under the pessimistic assumption. Simulation results show that the proposed cooperative MPR scheme can achieve higher throughput than NDMA and slotted ALOHA schemes.
基金supported by the National Natural Science Foundation of China under Grant 62171126.
文摘Integrated Sensing And Communication(ISAC)is regarded as a promising technology for facilitating the rapid advancement of Sixth-Generation(6G)due to its concurrent transmission of information and environmental sensing capabilities.Rate-Splitting Multiple Access(RSMA),through the utilization of Successive Interference Cancellation(SIC)and Rate-Splitting(RS)at the transceiver,can fulfill the sensing requirement and supersede individual radar sequence to mitigate the interference between communication and sensing.This paper investigates the transceiver design of the RSMA-assisted ISAC in a Network-Assisted Full-Duplex(NAFD)cell-free Massive Multiple-Input Multiple-Output(mMIMO)system.We first derive the expressions of the communication achievable data rate and radar sensing Signal to Interference plus Noise Ratio(SINR).Subsequently,an optimization problem is formulated to maximize the communication achievable data rate,subject to both radar sensing constraints and fronthaul constraints,an effective algorithm based on sparse beamforming scheme and Semi-Definite Relaxation(SDR)is then proposed to acquire the near-optimal transceiver.Numerical results demonstrate that the application of RSMA technology in ISAC systems can significantly enhance system performance,and reveal that Dual-Functionalities Radar-Communication(DFRC)scheme can achieve higher data rate than the traditional scheme.
