Read e-book online Analysis and Transceiver Design for the MIMO Broadcast PDF

By Raphael Hunger

ISBN-10: 3642316913

ISBN-13: 9783642316913

ISBN-10: 3642316921

ISBN-13: 9783642316920

This publication offers with the optimization-based joint layout of the transmit and obtain filters in MIMO broadcast channel within which the person terminals should be outfitted with a number of antenna components. in addition, the utmost functionality of the approach within the excessive energy regime in addition to the set of all possible quality-of-service specifications is analyzed.

First, a basic duality is derived that holds among the MIMO broadcast channel and digital MIMO a number of entry channel. This duality build allows the effective resolution of difficulties initially posed within the broadcast channel within the twin area the place a in all probability hidden convexity can usually be published.

On the root of the proven duality consequence, the gradient-projection set of rules is brought as a device to unravel limited optimization difficulties to international optimality lower than definite stipulations. The gradient-projection software is then utilized to fixing the weighted sum fee maximization challenge that is a critical optimization that arises in any community software maximization.

In the excessive strength regime, an easy characterization of the bought functionality turns into attainable due to the fact the weighted sum cost application converges to an affine asymptote within the logarithmic energy area. we discover closed shape expressions for those asymptotes which permits for a quantification of the asymptotic price loss that linear transceivers need to face with recognize to soiled paper coding.

In the final half, we solution the basic query of feasibility in quality-of-service established optimizations with inelastic site visitors that includes strict hold up constraints. less than the idea of linear transceivers, now not each set of quality-of-service standards should be possible making the facility minimization challenge with given reduce certain constraints at the price for instance infeasible in those instances. We derive an entire description of the quality-of-service feasibility zone for arbitrary channel matrices.

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Extra resources for Analysis and Transceiver Design for the MIMO Broadcast Channel

Example text

In turn, by increasing the length of the encoding sequences, the error probability can be made arbitrarily small while transmitting at a rate lower than CMIMO . For a single data stream, the transmission rate RSISO depends on the SINR via the bijective mapping [cf. 45)] RSISO = log2 (1 + SINR). 31), the transmission rate of this particular stream reads as BC BC Rk, j ( P, bk, j ) := log2 1 + SINRk, j ( P, bk, j ) . 48) Due to this one-to-one mapping, one might think that a rate duality for linear transceivers directly follows from any SINR duality that is applicable to multi-user MIMO systems.

2K ,L K T = Y −1 · p¯ 1,1 22 , . . , p¯ K ,L K 2 T 2 . 70) ¯ MF Again, Y is a nonsingular M-matrix as long as B has no row being the zerok MF ¯ vector for all k ∈ {1, . . , K }. A zero column in B k arises if rank(H BC k Pk) < min{Mk , L k }, cf. 50). , when L k > Mk . But due to the fact that MF receivers are assumed in the BC for the duality transformation, a passive transmit filter in the rotated system also leads to an inactive receive filter. , the zero rows and columns in Y have to be removed.

Y 1,K ⎥ ⎢ Y = ⎣ ... . ... ⎦ ∈ R L×L . Y K ,1 . . 68) whereas the main diagonal blocks are now diagonal matrices defined as ¯ MF ¯ MF,H Y k,k = B k C ηk B k IL k − i =k diag{1TL i Y i,k } ∀k. 66) and read as 2 ψ1,1 , . . , ψ 2K ,L K T = Y −1 · p¯ 1,1 22 , . . , p¯ K ,L K 2 T 2 . 70) ¯ MF Again, Y is a nonsingular M-matrix as long as B has no row being the zerok MF ¯ vector for all k ∈ {1, . . , K }. A zero column in B k arises if rank(H BC k Pk) < min{Mk , L k }, cf. 50). , when L k > Mk .

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Analysis and Transceiver Design for the MIMO Broadcast Channel by Raphael Hunger

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