TY - JOUR
T1 - Uplink macro diversity of limited backhaul cellular network
AU - Sanderovich, Amichai
AU - Somekh, Oren
AU - Poor, H. Vincent
AU - Shamai, Shlomo
N1 - Funding Information:
Manuscript received May 29, 2008; revised April 22, 2009. Current version published July 15, 2009. This work was supported by a Marie Curie Outgoing International Fellowship and the NEWCOM++ network of excellence within the 6th and 7th European Community Framework Programmes, respectively, by the U.S. National Science Foundation under Grants ANI-03-38807 and CNS-06-25637, and the REMON consortium for wireless communication. The material in this paper was presented in part at the IEEE International Symposium on Information Theory (ISIT), Nice, France, June 2007.
PY - 2009
Y1 - 2009
N2 - In this work, new achievable rates are derived for the uplink channel of a cellular network with joint multicell processing (MCP), where unlike previous results, the ideal backhaul network has finite capacity per cell. Namely, the cell sites are linked to the central joint processor via lossless links with finite capacity. The new rates are based on compress-and-forward schemes combined with local decoding. Further, the cellular network is abstracted by symmetric models, which render analytical treatment plausible. For this family of idealistic models, achievable rates are presented for both Gaussian and fading channels. The rates are given in closed form for the classical Wyner model and the soft-handover model. These rates are then demonstrated to be rather close to the optimal unlimited backhaul joint processing rates, even for modest backhaul capacities, supporting the potential gain offered by the joint MCP approach. Particular attention is also given to the low-signal-to-noise ratio (SNR) characterization of these rates through which the effect of the limited backhaul network is explicitly revealed. In addition, the rate at which the backhaul capacity should scale in order to maintain the original high-SNR characterization of an unlimited backhaul capacity system is found.
AB - In this work, new achievable rates are derived for the uplink channel of a cellular network with joint multicell processing (MCP), where unlike previous results, the ideal backhaul network has finite capacity per cell. Namely, the cell sites are linked to the central joint processor via lossless links with finite capacity. The new rates are based on compress-and-forward schemes combined with local decoding. Further, the cellular network is abstracted by symmetric models, which render analytical treatment plausible. For this family of idealistic models, achievable rates are presented for both Gaussian and fading channels. The rates are given in closed form for the classical Wyner model and the soft-handover model. These rates are then demonstrated to be rather close to the optimal unlimited backhaul joint processing rates, even for modest backhaul capacities, supporting the potential gain offered by the joint MCP approach. Particular attention is also given to the low-signal-to-noise ratio (SNR) characterization of these rates through which the effect of the limited backhaul network is explicitly revealed. In addition, the rate at which the backhaul capacity should scale in order to maintain the original high-SNR characterization of an unlimited backhaul capacity system is found.
KW - Distributed antenna array
KW - Fading
KW - Limited backhaul
KW - Multicell processing (MCP)
KW - Multiuser detection
KW - Shannon theory
KW - Wyner's cellular model
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U2 - 10.1109/TIT.2009.2023732
DO - 10.1109/TIT.2009.2023732
M3 - Article
AN - SCOPUS:68249154931
SN - 0018-9448
VL - 55
SP - 3457
EP - 3478
JO - IEEE Transactions on Information Theory
JF - IEEE Transactions on Information Theory
IS - 8
ER -