It is supposed that ultra-reliable low latency communication (uRLLC) would continue to evolve in the future sixth generation (6G) network, to provide enhanced capability towards extreme connectivity, with the aid of well established multiple-input multiple-output (MIMO) technology. Since the latency constraint can be represented equivalently by the blocklength of a codeword, channel coding theory at a finite blocklength plays an important role in theoretic analysis of uRLLC. Based on Polyanskiy’s and Yang’s asymptotic results on maximal achievable rate, we first derive the proximate closed-form expressions for the expectation and variance of channel dispersion. Then, the upper bound of average maximal achievable rate is obtained for massive MIMO systems under ideal independent and identically distributed fading channels. Since almost all the fundamental parameters, including the spatial degree-of-freedom (DoF), are considered, this expression can be viewed as a performance bound of the spatiotemporal two-dimension channel coding to some extent. Moreover, it is shown by simulation and analysis, as the DoF goes to infinity, MIMO systems reveal a nature of deterministic transmission, since the average maximal achievable coding rate per antenna can be achieved at each transmission. In this case, the inversely proportional law observed therein implies that the blocklength in the time domain can be further shortened at the expense of spatial DoF. This exchangeability of space and time, to support a given coding rate, paves a solid and feasible road for us to further reduce latency in 6G uRLLC.

Satellite communication is an important technology for the coverage of open country, and plays a vital role of link channel in remote Internet of Things (IoT). However, various kinds of IoT terminals may suffer from the limited battery capacity and computing capability. Therefore, this article proposes a new multiuser IoT system design, in which the satellite link is used to provide communication service for access points (AP), and allow terminals to download and upload data through APs. Then, the AP will exploit simultaneous wireless information and power transfer (SWIPT) and mobile edge computing (MEC) technologies to alleviate the deficiencies mentioned above. Moreover, the AP will equip with the full duplex (FD) and multi-input multi-output (MIMO) technologies to further improve the spectrum efficiency. Besides, a hybrid energy storage is assumed in the AP, i.e., the energy may come from power grid or renewable energy. Taking into account all issues above, we optimize the uplink achievable rate through jointly optimizing the CPU frequency, computation tasks, terminal transmitting power and the ratio of MEC task. In order to solve this optimization problem, we first decouple it into two sub-problems. For the first one, we can obtain the closed-form solution of CPU frequency. For the second one, we continue to decompose it into two non-convex problems, and then the iterative active-set method is used to solve these two problems. Numerical simulations demonstrate the effectiveness of the proposed design.

This letter presents an ultra-compact two-stage 60-GHz differential bi-directional amplifier (DBA) design in a 65-nm CMOS process. To satisfy the stability and gain requirements, a differential neutralized bi-directional common-source gain cell combined with the cross-coupled gm-boosting technique is proposed. In addition, a layout-symmetrical coupled line transformer is used as the inter-stage matching network to achieve broadband operation, reducing insertion loss and ensuring identical responses in both forward/backward modes. The proposed DBA achieves a peak gain of 16.1 dB with a 3-dB bandwidth of 15 GHz (52–67 GHz), maximum OP $_{\mathrm {1 \,\,dB}}$ of 5.1 dBm, $P_{\mathrm {SAT}}$ of 9.6 dBm, a peak PAE of 11.5% at 62 GHz, respectively, consuming 70 mW from a power supply of 1.2 V. The circuit core occupies an ultra-compact area of only 0.0675 mm ² .

This paper investigates the integration of a reconfigurable intelligent surface (RIS) into a secure multiuser massive multiple-input multiple-output (MIMO) system in the presence of transceiver hardware impairments (HWI), imperfect channel state information (CSI), and spatially correlated channels. We first introduce a linear minimum-mean-square error estimation algorithm for the aggregate channel by considering the impact of transceiver HWI and RIS phase-shift errors. Then, we derive a lower bound for the achievable ergodic secrecy rate in the presence of a multi-antenna eavesdropper when artificial noise (AN) is employed at the base station (BS). In addition, the obtained expressions of the ergodic secrecy rate are further simplified in some noteworthy special cases to obtain valuable insights. To counteract the effects of HWI, we present a power allocation optimization strategy between the confidential signals and AN, which admits a fixed-point equation solution. Our analysis reveals that a non-zero ergodic secrecy rate is preserved if the total transmit power decreases no faster than 1/ N , where N is the number of RIS elements. Moreover, the ergodic secrecy rate grows logarithmically with the number of BS antennas M and approaches a certain limit in the asymptotic regime N → ∞. Simulation results are provided to verify the derived analytical results. They reveal the impact of key design parameters on the secrecy rate. It is shown that, with the proposed power allocation strategy, the secrecy rate loss due to HWI can be counteracted by increasing the number of low-cost RIS elements.

In this letter, the performance of a secure massive multiple-input multiple-output (MIMO) system adopting low-resolution digital-to-analog converters (DACs) is analyzed over spatially correlated wireless channels. A tight lower bound for the achievable secrecy rate is derived with artificial noise (AN) transmitted in the null space of the user channels. Using the analytical results, the impact of spatial correlation on the secrecy rate is explicitly evaluated in the presence of low-resolution DACs. The analytical observations reveal that using low-resolution DACs can be beneficial to the secrecy performance compared with ideal DACs, when the channels are strongly correlated and optimal power allocation is not employed.

For satellite communication applications, this paper presents an image rejection Ku-band low noise amplifier (LNA) in a 65-nm CMOS process for the Hartley receiver architecture. To achieve high input/output linearity performance, the inductive source degenerated cascode and the capacitive neutralized common-source (CS) amplifier topologies are used in the LNA input and output stages, respectively. To achieve wideband input return loss, the minimum noise figure and high gain performance simultaneously, the inductive source degenerated cascode amplifier is co-designed with the fourth order input impedance matching network. For the image rejection purpose, a bridged-tee band-stop filter is proposed. The measurements show the LNA achieves 14.3-to-18.3 GHz 3 dB bandwidth with 17-to-20 dB power gain, 3.5-to-4 dB noise figure, 17-to-37 dB image rejection and -5 dBm IIP3. Including all pads, the chip occupies a silicon area of $1360\times 450\,\,\mu \text{m}^{2}$ and consumes 72 mW DC power.