Capacity Analysis for Spatially Non-Wide Sense Stationary Uplink Massive MIMO Systems
2015 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 14, no 12, 7044-7056 p.Article in journal (Refereed) PublishedText
Channel measurements show that significant spatially non-wide-sense-stationary characteristics rise in massive MIMO channels. Notable parameter variations are experienced along the base station array, such as the average received energy at each antenna, and the directions of arrival of signals impinging on different parts of the array. In this paper, a new channel model is proposed to describe this spatial non-stationarity in massive MIMO channels by incorporating the concepts of partially visible clusters and wholly visible clusters. Furthermore, a closed-form expression of an upper bound on the ergodic sum capacity is derived for the new model, and the influence of the spatial non-stationarity on the sum capacity is analyzed. Analysis shows that for non-identically-and-independent-distributed (i.i.d.) Rayleigh fading channels, the non-stationarity benefits the sum capacity by bringing a more even spread of channel eigenvalues. Specifically, more partially visible clusters, smaller cluster visibility regions, and a larger antenna array can all help to yield a well-conditioned channel, and benefit the sum capacity. This shows the advantage of using a large antenna array in a non-i.i.d. channel: the sum capacity benefits not only from a higher array gain, but also from a more spatially non-stationary channel. Numerical results demonstrate our analysis and the tightness of the upper bound.
Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2015. Vol. 14, no 12, 7044-7056 p.
Massive MIMO; spatially non-wide sense stationary channel; upper bound on sum capacity
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:liu:diva-123764DOI: 10.1109/TWC.2015.2464219ISI: 000366848200040OAI: oai:DiVA.org:liu-123764DiVA: diva2:892969
Funding Agencies|National Basic Research Program [2012CB316000]; National Natural Science Foundation of China ; National High Technology Research and Development Program of China [SS2014AA012107]; National ST Major Project [2014ZX03003003-002]; Tsinghua-Qualcomm Joint Research Program2016-01-112016-01-112016-02-21