Scaling results on the sum capacity of cellular networks with MIMO links

Abstract

Scaling results for the sum capacity of the multiple access, uplink channel are provided for a flat-fading environment, with multiple-input-multiple-output (MIMO) links, when there is interference from other cells. The classical MIMO scaling regime is considered in which the number of antennas per user and per base station grow large together. Utilizing the known characterizations of the limiting eigenvalue distributions of large random matrices, the asymptotic behavior of the sum capacity of the system is characterized for an architecture in which the base stations cooperate in the joint decoding process of all users (macrodiversity). This asymptotic sum capacity is compared with that of the conventional scenario in which the base stations only decode the users in their cells. For the case of base station cooperation, an interesting "resource pooling" phenomenon is observed: in some cases, the limiting performance of a macrodiversity multiuser network has the same asymptotic behavior as that of a single-user MIMO link with an equivalent amount of pooled received power. This resource pooling phenomenon allows us to derive an elegant closed-form expression for the sum capacity of a new version of Wyner's classical model of a cellular network, in which MIMO links are incorporated into the model. © 2006 IEEE

Cognitive interference alignment between small cells and a macrocell

“…Subsequently, realistic path-loss models and user distribution were investigated in [4], [5] providing closed-form capacity expressions based on the cell size, path loss exponent and user spatial p.d.f. The beneficial effect of MIMO links was established in [6], [7], where a linear scaling with the number of BS antennas was proven.…”

Information theoretic capacity of Gaussian cellular multiple-access MIMO fading channel

“…The asymptotic expression for the maximum capacity can be found by applying the two dimensional extension of Szego's theorem [10], [11] to (4). In this case however the matrix is a block circulant matrix and Szego's theorem cannot be directly applied.…”

“…On the other hand the use of arrays at the user terminals had not been considered in the past due to size and cost issues. However recent information theoretic results [4], [5] show that simultaneous use of multiple receive and multiple transmit antennas can offer dramatic increase in capacity. Hence, the deployment of arrays at both base stations and terminals appears as an attractive scenario for the evolution of mobile data access.…”

On the Energy Efficiency-Spectral Efficiency Trade-Off of the 2BS-DMIMO System

“…micro and macro diversity, respectively [6], [7]. In [6], [8]- [10], closed-form expressions of the channel capacity of DMIMO were presented. To the best of our knowledge, the CFA of the EE-SE trade-off of DMIMO is yet to be presented.…”