Optimized partial decoding in uplink network MIMO under constraint backhaul

This paper considers the model that each base station (BS) is connected to a central processor (CP) via a noiseless and rate-limited backhaul link. The theoretical capacity of this model is still left open. In our work, we use data splitting to explore the achievable rate region under given capaciti...

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Main Authors: Shipeng Wang, Li Chen, Guo Wei
Format: Conference Proceeding
Language:English
Subjects:
Decoding
Interference
Joints
MIMO
Noise
Resource management
Uplink
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Li Chen
Guo Wei
description This paper considers the model that each base station (BS) is connected to a central processor (CP) via a noiseless and rate-limited backhaul link. The theoretical capacity of this model is still left open. In our work, we use data splitting to explore the achievable rate region under given capacities of backhaul links. The performance of the data splitting is analyzed, and the optimal power allocation can be derived by solving the Karush-Kuhn-Tucker (KKT) conditions. An optimization method is also used to obtain the boundary of achievable rate region instead of complex exhaustive search. In the numerical simulations, the boundary of achievable rate region is presented. The result reveals that the rate region of the proposed scheme is superior to that of joint decoding scheme and Interference Channel (IC). The sum rate of our proposed scheme is also larger than that of the other two schemes.
doi_str_mv 10.1109/WCNC.2015.7127445
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source IEEE Xplore All Conference Series
subjects Decoding
Interference
Joints
MIMO
Noise
Resource management
Uplink
title Optimized partial decoding in uplink network MIMO under constraint backhaul
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