Radios for communication, interconnect, synchronization, radar, and orientation
Server-sat radios will have multiple low-power outputs and communicate to many printed-circuit antennas and resonant impedance matchin structures. They will talk on multiple bands, for downlink, uplink, femtosecond-precision array timing, micron-precision server-sat location and orientation within the array, and orientation to other arrays and to GPS and ground systems. Much of this accuracy will come from continuous monitoring and averaging, differential and quadrature analog signal processing, and the ultra-low vibration and perturbation environment of a server-sat in a completely predictable nano-gee space environment. MORE LATER
Timing precision and synchronization
In the late 1990s, Keith Lofstrom worked with Teradyne and Analog Devices to produce a timing interpolator system for a tester that produced timing edges with 1ps resolution within a 2ns time period. Measurements showed that the timing accuracy of each edge was less than the 8 femtoseconds of the measurement equipment. This was for single edges - an system that averages trillions of periodic edges into planar resonators should be able to estimate system phasing to fractions of a femtosecond; at the speed of light, this is a small fraction of a micron. To achieve this, the measurement system must be well isolated from all noise sources, and all signals must be differential, with balanced power on all edges, balanced grounds and power signals to each circuit, etc.
Vibration can generate errors, but the vibrations will be very small in a server-sat (mostly related to transients caused by the LCD thrusters, and perhaps from nano-meteor impact) and measurable. Thermal variations will occur as various electronic sections turn on and off, but these thermal variations can be characterized and extracted. Perhaps the largest source of unpredictable perturbations will be radio energy from other arrays coupling with signal runs on the server-sat; this may require extra ground planes.
As a new service, server sky will likely be allocated EHF frequencies for the downlink - in the 30GHz to 300GHz range. For now, let's assume a frequency of 38GHz and a wavelength of 8 millimeters. This wavelength is smaller than the size of a server-sat, so directional beams can be made with server-sat scale antennas. Each server-sat can direct radio energy into an angle of perhaps sin-1(0.1) or 6 degrees, for a ground spot of perhaps 600km.
However, the directionality of sever-sats comes from their ability to act as a phased array. Constructive and destructive interference between phase locked arrays of server-sats permits ground spots of a few tens of meters - better than cellular service and wimax. The wider the array, the smaller the ground spot, so for downlink at least, adding server-sats will improve spatial multiplexing bandwidth, with no practical limits on download bandwidth to billions of customers on earth.
A phased array works by adjusting the time delay of each server-sat transmitter so that the signals from each transmitter, located at a different distance from the receiver, all arrive at the receiver at same time. If each transmitter is emitting a pure sine wave, this can be accomplished by shifting the phase of the outgoing signal.
The easiest way to do this is to compute the path length from each transmitter to the ground receiver in wavelengths, take the fractional part, and conjugate it (that is, the negative fractional part becomes the phase of that transmitter). For a 10,000km path, that can be accurately represented as a 32.10 bit fixed point number or a 64 bit IEEE754 floating point number.
If the system is linear, then the transmitter can emit the sum of many different phased signals pointing at many ground spots. An easy way to do this is to make the transmitter emit modulated I and Q signals (90 degrees apart), where each I and Q signal is the computed algebraic sum of many baseband or intermediate frequency signals representing different spatial channels. Modern VLSI integrated circuits can combine many data channels and compute the phased sums of them at high speed, while recomputing transmit angles to accommodate the movement of the orbiting array relative to the ground (angles will change 21 nanodegrees per microsecond). In this way, one phased array can communicate with many different ground spots.
However, traditional phased arrays have a problem called grating lobes. If the spacing of the transmitter nodes is wider than the wavelength of the sine wave source, then there are many ground spots and many angles that show a constructive interference maximum. These spatial lobes are called grating lobes, and resemble the off-axis lobes in an x-ray crystallography pattern. If the precise spacing of server-sats is 10 meters, there will be grating lobes at 0.046 degree spacings, or a ground spacing of 5.1 kilometers. Although the main ground spot of a large array of transmitters will be narrow, there will be many more than one.
The grating lobes near the main ground spot for a 10 meter spacing and an 8mm wavelength, 128 elements in a line. The peaks shown are actually the maximum of many peaks - the lobes have a fine structure.
There is a solution. Unlike a traditional phased array, the transmitters can be placed in an unevenly spaced (or even random) array, and the array spacing can be adjusted and optimized in real time. This destroys the exact periodicity of the array, and flattens the lobes into the noise floor. While the same amount of unwelcome power is splattered across the landscape, at least it is not focused into a few spots (the sidelobe power would only be reduced if the transmitting antennas were close enough to couple). If the randomly spaced elements are still phased for a maximum at the primary lobe, the power of that lobe is unaffected.
This is easiest to show (and compute) for a linear array, although the same procedure may be extended to a three dimensional array. Many different spacing algorithms is possible. Random dithering around a precision center seems to average out to produce grating lobes (just as thermal vibration smears but does not eliminate lobes in x-ray crystalography). However, a random walk distance algorithm, where a random amount is added to each spacing between transmitters, does a good job of smearing out grating lobes. The following graphs show the results of adding uniform random spacings of 0m, 1m, 2m, and 3m to the basic 10m spacing. The distance scale is varied from -1km/1km to -1000km/5000km.
This is just a first pass test using this C program and gnuplot using a command file like this. A two dimensional extension and a three dimensional extension is needed (which will be very compute intensive), and it is likely that the proper nonrandom spacing algorithm (perhaps based on a windowed fourier transform) will produce a better spacing algorithm.
Programming and math savvy individuals can search for better/simpler spacing methods, as well as computational methods for quickly estimating maximum and average sidelobe energy. Animation savvy individuals could transform these methods into movies showing the tracking of ground spots from a moving array.
communication within an array
communication between arrays
This will be difficult - not technically, but primarily due to licensing. The server-sky orbits will be approximately in-plane with equatorial communication satellites, which also use in-plane methods to communicate. This means that beams between server-sky arrays will continue beyond the server-sky orbit and up to GEO, causing interference with receivers there.
This can be pameliorated by using very narrow, oblique, and fractional-orbit beams between inclined server-sat arrays, such that the beams are pointed well above or below the orbital plane, and relatively weak when they reach GEO altitudes anyway. Space-to-space communications often use the 60GHz band, where the atmospheric absorption of oxygen is very high, which will isolate the space links from potential jamming on the ground. Here is an example of some oblique beams between arrays:
If the beams must miss the GEO orbit by, say, 5 degrees, and the communication partners are 300km above and below the equatorial plane, then they can be spaced 7000 km apart. This would require 7 hops to travel halfway around the ring (41000km). Actually, they should be spaced closer anyway, to reduce power. The speed-of-light propagation time around the ring is 136ms. If packets are 1400 bits and running 10Gbps, then a packet time is 140nsec. Assume that switching, re-route, queueing and beam forming time add a latency of 5 microseconds to each relay. 1000 hops would add only 5 milliseconds or 4% to the path latency, permitting an array spacing of 41 km, with the arrays only 2km above and below the plane.
As the arrays get denser and larger, the beamsize gets smaller, but the amount of inter-array traffic will probably increase faster than the number of communication paths. This needs to be characterized.
Study the needed density for cross-orbit links. Keep in mind that many web services will have local caching and proxy service scattered around the ring, to reduce latency and mitigate the 20% downtime caused by earth shadow.
wild speculation: Perhaps someday, when there are billions of server-sats in orbit, server-sky will have physical fiber-optic bundles orbiting around the central orbit to handle this. The circumference of the 12789km m288 orbit is 80000 km; an unshielded 8 micron fiber of that enormous length would weigh 11 kilograms. Of course, there would be many fibers, they would have shielding and cladding and many optical satellites along the length of the system, but at least this demonstrates that optical fiber connecting distant regions of server-sat arrays, while fraught with issues, is not out of the question. For short distances and small populations of server-sats, radios are much easier.
communication with other services
Server-sky as described is confined to near the equatorial plane. This will restrict its usefulness for communications to ground sites with latitudes below 52 degrees or so, which precludes much of northern Europe . While it is possible to add high inclination orbits in synchronization with the main constellation to reach far north, in the short term it is easier to use existing services like Iridium, Globalstar, TDRSS, and the many satellites in GEO to do this. In the near-term, server-sky is primarily doing computation and radar sensing, and the constellations around the equator will be incomplete anyway, so it is better to rely on existing infrastructure when geometries and transponder configuration on the existing satellites permits this. This needs more study.
Learn about the communication methods of existing communication satellites, especially for inter-satellite communication. Those transponders and antenna dishes are typically pointed at the ground. What can they listen to?
radar - locating space debris
orientation to other arrays, GPS, and ground stations
Server sky is blind. It does not have star trackers or ring laser gyros or any other typical orientation device. It may have some MEMs gyros and accelerometers, but those are fragile and expensive to develop and the thinning needed may cost too much for Commercial Off The Shelf (COTS) devices.
Server sky has two senses, though. Sunlight to the solar cell can be measured and used to determine the sun angle. Gratings can be added to sense sun direction. So a server-sat will have some limited optical orientation capability.
Server-sky's main sense is radio. It will be in constant communication with neighboring server-sats, and can do precision orientation and location computations from that. It can also sense signals from ground stations and GPS. Modulated radio and sub-wavelength fringes are used in commercial surveying equipment to measure distances with high precision; server-sky will do the same thing with the 60GHz intra-array communication links. Assuming it can measure phase within 1 degree at 60GHz, a server-sat should be able to locate its many antennas with a 20 micron accuracy. Better measurement capabilities can be added in the future by improving the software.