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The two-user Gaussian interference capacity region to within one bit
Statement
For the complex Gaussian interference channel of Real and complex two-user Gaussian interference channels, the Etkin–Tse–Wang Han–Kobayashi scheme is within one bit per user of capacity, in the coordinatewise sense that for every capacity pair there is an achievable pair with . The scheme uses Gaussian common/private splits with the following nominal power policy, permitting auxiliary removal and rate moving as in Gaussian superposition Han–Kobayashi region with nonunique decoding and rate moving: in the weak regime each private signal's nominal received power at the unintended receiver is ; in the mixed regime the user causing strong interference uses only a common message and the other nominal private signal is at noise level or uses its entire power if its INR is below one. Auxiliary removal may replace a nominal split by the explicitly described one-common/one-unsplit-user construction. In the strong regime both messages may be decoded at both receivers using the exact region of [F1].
Facts & Assumptions
Given: A complex Gaussian channel with nonnegative finite powers and the SNR/INR convention in [F2]; all logarithms in the proof are base two.
The Axiom of Choice: AC is inherited through Gaussian input and information suppliers.
Exact strong-interference region for the two-user Gaussian interference channel: in the strong regime, the Gaussian MAC-intersection region is exact.
Real and complex two-user Gaussian interference channels: is user 2's interference power at receiver 1 and is user 1's interference power at receiver 2.
Gaussian Han-Kobayashi inner region for a fixed private-power split: fixed Gaussian private/common powers achieve every feasible three-stream subset-decoding rate split, including singleton streams and closure.
Genie-aided outer bounds for the two-user Gaussian interference channel: capacity obeys the displayed weak and mixed individual, sum, and weighted outer bounds.
Gaussian superposition Han–Kobayashi region with nonunique decoding and rate moving: the seven Gaussian HK facets, with an explicit nine-facet elimination and auxiliary-removal construction, are achievable under the nominal split policy; its proof selects deterministic codebooks satisfying the average power constraints.
Power bound for real and complex scalar Gaussian channels: the scalar Gaussian converse bounds a remaining user's rate by its single-user power formula when the other input vanishes.
Proof
First suppose both prescribed powers are positive; zero powers are handled separately below. Write , , , and . The weak regime is , , the mixed regimes have exactly one reversed comparison, and the strong regime is , . Positive powers make these comparisons equivalent to the gain comparisons in [F1]. In the strong regime [F1] supplies the exact region, so there is no loss. We treat one mixed regime and obtain the other by exchanging all user indices.
In the weak regime set , , , , , , , and . These correspond to the nominal private powers and , including zero cross gains without division by an INR. Let be [F5]'s quantities for this split. Then , , , , and : for example and . These elementary inequalities will compare all facets uniformly, including INR below one. Denote by the three weak outer sum right-hand sides in their displayed order and by the outer and right-hand sides.
In the mixed regime , , take , , , , , . Thus user 2 is nominally all common, and the private user 1 signal has unintended received power . The seven-facet quantities become , , , , , , , and . Let and , the mixed outer first sum and weighted right sides. The remaining sum bound is . Since , we have and .
It remains to justify clipping a coordinate at zero; a negative-coordinate polygon argument would not do this. If both capacity coordinates are at most one, use the zero code. Suppose and write . The capacity individual bound gives , so it suffices to achieve on the axis. Shut user 1 off. In a weak nominal split, if user 2 is entirely private and achieves . If , its desired private power is and its unintended private power is one. Its common layer can be decoded at the unintended receiver while treating its private layer as noise at any rate up to . At its intended receiver the private rate bound is , the common bound is , and the total bound is . The product identities and give and . For a total rate , allocate private rate and common rate ; this common rate is at most both and . Every intended MAC subset inequality and the unintended common decoding inequality therefore holds, with closure for equality, so [F3] achieves at least with this same nominal split. At the common power and are zero and the calculation still holds.
The complete weak facet comparison table is . Here the first two comparisons follow from and its reflection. For , cancel the common factor in the numerator and use ; the denominator is . The reflected inequality proves the next row. For , each of its numerator factors and dominates the corresponding outer factor by step 2.1. For the row cancel and compare the remaining inner factors with the outer factors , factor by factor using step 2.1; the denominator is . Reflection gives the final row. This verifies every entry of the table by multiplication of nonnegative factors.
The full mixed comparison table is . The third row follows by canceling and using . The fifth uses . The sixth uses the former inequality after canceling ; its capacity upper bound is the sum of the individual bound and the MAC sum bound, hence is a valid bound on . In the last row has the same output numerator as the first term of , and ; the sole additional outer factor is because . These calculations prove all rows, and each gap is no larger than its facet's sum of coefficients. They include , , , , and directly. Therefore for mixed capacity pairs with both coordinates at least one, obeys all seven achievable facets. Reflecting indices proves the other mixed regime.
If a weak-regime capacity pair has , put . Subtracting one in each coordinate reduces the linear functionals with coefficient pairs , , , , and by respectively . The table therefore places in all seven facets of [F5], which is achievable with the nominal split and its authorized auxiliary-removal alternatives. There are no missing INR subcases: if then and user 2's common power is zero; if the reflected fact holds. The formulas remain exact, and facets made redundant by singleton streams do not need to be imposed anew. At or the formulas from the two sides coincide. If , both common layers vanish and the seven-facet region reduces to the rectangle , ; each individual gap is at most one. Thus the same calculation covers both sub-noise INRs, either one, and their zero and unit boundaries.
For a mixed axis, the nominally all-common strongly interfering user has unintended link at least as strong as its intended link; with the other user shut off its entire intended single-user rate is decodable at both receivers. The other user's axis is covered by the calculation in step 2.3, including the entirely-private case when its INR is below one. Reflecting indices handles . Singleton layers and boundary rates follow from [F3]'s closure; the superposition and fallback regions use the explicit slack-power selection in [F5]. Thus for every weak, mixed, or strong capacity pair with positive prescribed powers there is an achievable pair whose coordinates are at least . All changes of layer labels and powers in the non-axis seven-facet construction are exactly the permitted auxiliary removal of [F5], so the full coordinatewise claim and nominal power policy in the statement both hold.
Finally let a prescribed power vanish. If , the average nonnegative energy constraint forces user 1's codeword to vanish almost surely, so and ; the scalar individual converse gives . If also , both rates are zero. Otherwise, when the nominal all-common user 2 code achieves its exact single-user rate at both receivers, since ; there is no condition on user 1's gains to check because it sends no information. When the nominal private user 2 split achieves at least by the direct axis construction of step 2.3. The case is reflected. All deterministic zero-power layers are omitted, and no argument divides by a gain or a zero power. This proves the asserted full-channel claim for nonnegative finite powers as well as the positive-power cases.
Depends on
- The Axiom of Choice
- Real and complex two-user Gaussian interference channels
- Exact strong-interference region for the two-user Gaussian interference channel
- Gaussian Han-Kobayashi inner region for a fixed private-power split
- Gaussian superposition Han–Kobayashi region with nonunique decoding and rate moving
- Genie-aided outer bounds for the two-user Gaussian interference channel
- Power bound for real and complex scalar Gaussian channels
Used by
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Sources
- Raul H. Etkin, David N. C. Tse, and Hua Wang, Gaussian Interference Channel Capacity to Within One Bit (standard reference, not scraped)