Title :
Spatiotemporal Cooperation in Heterogeneous Cellular Networks
Author :
Nigam, Gaurav ; Minero, Paolo ; Haenggi, Martin
Author_Institution :
Dept. of Electr. Eng., Univ. of Notre Dame, Notre Dame, IN, USA
Abstract :
This paper studies downlink communication in a heterogeneous cellular network where a set of geographically separated base stations (BSs) cooperates in transmitting data to a common receiver. If a decoding error occurs, data is cooperatively retransmitted by a possibly different set of BSs, such that the receiver can benefit from spatiotemporal BS cooperation. Specific cooperation techniques studied in this paper include joint transmission, base station silencing, and the Alamouti space-time code. Using tools from stochastic geometry, the coverage probability at the typical user is characterized as an integral function of the network parameters and the sets of cooperating BSs. The expressions derived reveal the existence of two qualitatively different operating regimes. In the high-coverage regime, the typical user is diversity-limited, so cooperation techniques exploiting spatiotemporal diversity are highly effective in increasing coverage. It is shown that retransmissions always yield time diversity, while channel state information at the transmitters is required to harvest spatial diversity via joint transmission. In the low-coverage regime, on the other hand, the typical user is interference-limited, so cooperation techniques such as joint transmission and base station silencing are effective in increasing coverage as they suppress part of the interference power.
Keywords :
cellular radio; cooperative communication; decoding; diversity reception; interference suppression; network coding; probability; space-time codes; stochastic processes; Alamouti space-time code; base station silencing; channel state information; common receiver; coverage probability; decoding error; downlink communication; geographically separated base stations; heterogeneous cellular networks; interference power suppression; joint transmission; network parameter integral function; spatial diversity; spatiotemporal BS cooperation; spatiotemporal cooperation; spatiotemporal diversity; specific cooperation techniques; stochastic geometry; time diversity; transmitters; Base stations; Decoding; Diversity methods; Fading; Interference; Joints; Receivers; Alamouti code; base station cooperation; base station silencing; diversity gain; heterogeneous networks; joint transmission;
Journal_Title :
Selected Areas in Communications, IEEE Journal on
DOI :
10.1109/JSAC.2015.2417017